Publications

Choi, Y. D., Roy, B., Nguyen, J., Ahmad, R., Maghami, I., Nassar, A., Li, Z., Castronova, A. M., Malik, T., Wang, S., and Goodall, J. L. (2023) “Comparing Containerization-based Approaches for Reproducible Computational Modeling of Environmental Systems”. Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2023.105760

Han, S. Y., Kang, J. K., Lyu, F., Baig, F., Park, J., Smilovsky, D., and Wang, S. (2023) “A CyberGIS Approach to Exploring Neighborhood-level Social Vulnerability for Disaster Risk Management”. Transactions in GIS, https://doi.org/10.1111/tgis.13106

Lieberthal, B., Soliman, A., Wang, S., de Urioste-Stone, S., and Gardner, A. (2023) “Epidemic Spread on Patch Networks with Community Structure”. Mathematical Biosciences, https://doi.org/10.1016/j.mbs.2023.108996

Lyu, F., Ma, X., Song, Y., Zhu, E., and Wang, S. (2023) “Large-scale Google Street View Images for Urban Change Detection”. In: Proceedings of I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions”. New York City, New York, USA, October 4 – 6, 2023

Maghami, I., Beusekom, A. V., Hay, L., Li, Z., Bennett, A., Choi, Y. D., Nijssen, B., Wang, S., Tarboton, D. G., and Goodall, J. L. (2023) “Building Cyberinfrastructure for the Reuse and Reproducibility of Complex Hydrologic Modeling Studies”. Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2023.105689

Michels, A. C. and Wang, S. (2023) “An Agent-Based Modeling Approach to Spatial Accessibility”. In: Proceedings of I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions”. New York City, New York, USA, October 4 – 6, 2023

Michels, A. C., Kotak, M., Padmanabhan, A., and Wang, S. (2023) “Streamlined HPC Environments with CVMFS and CyberGIS-Compute”. In: Proceedings of I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions”. New York City, New York, USA, October 4 – 6, 2023

Michels, A., Park, J., Li, B., Kang, J. Y., and Wang, S. “Impacts of Catchments Derived from Fine-Grained Mobility Data on Spatial Accessibility”. In: Proceedings of the 12th International Conference on Geographic Information Science (GIScience 2023), Leeds, UK, September 12 – 15, 2023

Park, J., Michels, A., Lyu, F., Han, S. Y., and Wang, S. (2023) “Daily Changes in Spatial Accessibility to ICU Beds and Their Relationship with the Case-fatality Ratio of COVID-19 in the State of Texas, USA”. Applied Geography, https://doi.org/10.1016/j.apgeog.2023.10292

Song, C. X., Merwade, V., Wang, S., Witt, M., Kumar, V., Irwin, E., Zhao, L., and Walton, A. (2023) “Cyberinfrastructure for Sustainability Sciences”. Environmental Research Letters, https://doi.org/10.1088/1748-9326/acd9dd

Tarboton, D. G., Ames, D. P., Horsburgh, J. S., Goodall, J. L., Couch, A., Hooper, R., Bales, J., Wang, S., Castronova, A., Seul, M., Idaszak, R., Li, Z., Dash, P., Black, S., Ramirez, M., Yi, H., Calloway, C., Cogswell, C. (2023) “HydroShare Retrospective: Science and Technology Advances of a Comprehensive Data and Model Publication Environment for the Water Science Domain”. Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2023.105902

Wang, S., Hertel, T., Li, B., Liu, J., Padmanabhan, A., Song, C. X., Tarboton, D. G. (2023) “Proceedings of I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions”. New York City, New York, USA, October 2023, https://docs.lib.purdue.edu/iguide/2023/

Wang, Z., Jin, B., Hu, W., Jiang, M., Kang, S., Li, Z., Han, J., and Wang, S. (2023) “Geospatial Knowledge Hypercube”. In: Proceedings of the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023), Hamburg, Germany, November 13 – 16, 2023

Xie, Y., Wang, Z., Mai, G., Li, Y., Jia, X., Gao, S., and Wang, S. (2023) “Geo-Foundation Models: Reality, Gaps and Opportunities”. In: Proceedings of the 31st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2023), Hamburg, Germany, November 13 – 16, 2023

Baig, F., Michels, A., Xiao, Z., Han, S. Y., Padmanabhan, A., Li, Z., and Wang, S. “CyberGIS-Cloud: A Unified Middleware Framework for Cloud-based Geospatial Research and Education”. In: Proceedings of Practice and Experience in Advanced Research Computing (PEARC’22), Boston, Massachusetts, USA, July 10 – 14, 2022

Guo, C., Hu, H., Wang, S., Rodriguez, L. F., Ting, K. C., Lin, T. (2022) “Multiperiod Stochastic Programming for Biomass Supply Chain Design under Spatiotemporal Variability of Feedstock Supply”. Renewable Energy, 186: 378-393, https://doi.org/10.1016/j.renene.2021.12.144

Jiang, Z., He, W., Kirby, M. S., Sainju, A. M., Wang, S., Stanislawski, L. V., Shavers, E. J., Usery, E. L. (2022) “Weakly Supervised Spatial Deep Learning for Earth Image Segmentation Based on Imperfect Polyline Labels”. ACM Transactions on Intelligent Systems and Technology, https://doi.org/10.1145/3480970

Kang, J. K., Farkhad, B. F., Chan, M. S., Michels, A., Albarracin, D., and Wang, S. (2022) “Spatial Accessibility to HIV Testing, Treatment, and Prevention Services in Illinois and Chicago, USA”. PLOS ONE, https://doi.org/10.1371/journal.pone.0270404

Lyu, F., Wang, S. H., Han, S. Y., Catlett, C. E., and Wang, S. (2022) “An Integrated CyberGIS and Machine Learning Framework for Fine-Scale Prediction of Urban Heat Island Using Satellite Remote Sensing and Urban Sensor Network Data”. Urban Informatics, https://doi.org/10.1007/s44212-022-00002-4

Lyu, F., Yang, Z., Xiao, Z., Diao, C., Park, J., and Wang, S. “CyberGIS for Scalable Remote Sensing Data Fusion”. In: Proceedings of Practice and Experience in Advanced Research Computing (PEARC’22), Boston, Massachusetts, USA, July 10 – 14, 2022

Marshall, A-M., Rodriguez, L. F., Heemstra, J., Classen, J. J.,  Cortus, E.,  Koziel, J., Meyer, D., Steward. D., Padmanabhan, A., Reed, S. P., Ruddell, B. L., and Walters, R.  (2022) “Developing Cohort Challenges: An Innovative Program for Training Graduate Students to Work in Transdisciplinary Teams'”. In: ASEE 2022 Annual Conference, Minneapolis, MN, USA , June 26-29, 2022

Michels, A., Kang, J. Y., and Wang, S. (2022) “Particle Swarm Optimization for Calibration in Spatially Explicit Agent-Based Modeling”. Journal of Artificial Societies and Social Simulation, https://www.jasss.org/25/2/8.html, DOI: 10.18564/jasss.4796

Stanislawski, L. V., Shavers, E. J., Duffy, A. J., Thiem, P., Jaroenchai, N., Wang, S., Jiang, Z., Kronenfeld, B. J., Buttenfield, B. P. “Scaling-up Deep Learning Predictions of Hydrography from IFSAR Data in Alaska”. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (FOSS4G 2022 Academic Track), Firenze, Italy, August 22 – 28, 2022

Wang, C., Lyu, F., Wu, S., Wang, Y., Xu, L., Zhang, F., Wang, S., Wang, Y., and Du, Z. (2022) “A Deep Trajectory Clustering Method Based on Sequence-to-Sequence Autoencoder Model”. Transactions in GIS, https://doi.org/10.1111/tgis.12905

Wang, S. (2022). “Spatial Thinking of Computational Intensity in the Era of CyberGIS”. In: New Thinking in GIScience, edited by B. Li, X. Shi, AX. Zhu, C. Wang, and H. Lin, Springer, Singapore. https://doi.org/10.1007/978-981-19-3816-0_16

Chen, H., Sheng, S., Xu, C-Y., Li, Z., Zhang, W., Wang, S., Guo, S. (2021) “A Spatiotemporal Estimation Method for Hourly Rainfall Based on F-SVD in the Recommender System”. Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2021.105148

Chen, L., Chen, W., Xu, Z., Huang, H., Wang, S., Zhu, Q., Li, H. (2021) “DAPnet: A Double Self-attention Convolutional Network for Point Cloud Semantic Labeling.” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. DOI: 10.1109/JSTARS.2021.3113047

Chen, L., Xu, Z., Li, Q., Peng, J., Wang, S., Li, H. (2021) “An Empirical Study of Adversarial Examples on Remote Sensing Image Scene Classification”. IEEE Transactions on Geoscience and Remote Sensing, https://doi.org/10.1109/TGRS.2021.3051641

Choi, Y. D., Goodall, J. L., Sadler, J. M., Castronova, A. M., Bennett, A., Li, Z., Nijssen, B., Wang, S., Clark, M. P., Ames, D. P., Horsburgh, J. S., Yi, H., Bandaragoda, C., Seul, M., Hooper, R., and Tarboton, D. G. (2021). “Toward Open and Reproducible Environmental Modeling by Integrating Online Data Repositories, Computational Environments, and Model Application Programming Interfaces”. Environmental Modelling and Software, 135, https://doi.org/10.1016/j.envsoft.2020.104888

Fu, P., Jaiswal, D., McGrath, J. M., Wang, S., Long, S. P., and Bernacchi, C. J. (2021) “Drought Imprints on Crops Can Reduce Yield Loss: Nature’s Insights for Food Security”. Food and Energy Security, https://doi.org/10.1002/fes3.332

Jiang, H., Hu, H., Li, B., Zhang, Z., Wang, S., and Lin, T. (2021) “Understanding the Non-stationary Relationships between Corn Yields and Meteorology via a Spatiotemporally Varying Coefficient Model”. Agricultural and Forest Meteorology, https://doi.org/10.1016/j.agrformet.2021.108340

Kang, J. Y., Michels, A., Crooks, A., Aldstadt, J., and Wang, S. (2021) “An Integrated Framework of Global Sensitivity Analysis and Calibration for Spatially Explicit Agent-Based Models”. Transactions in GIS, https://doi.org/10.1111/tgis.12837

Lyu, F., Kang, J. Y., Wang, S., Han, S. Y., Li, Z., and Wang, S. (2021) “Multi-scale CyberGIS Analytics for Detecting Spatiotemporal Patterns of COVID-19”. In: Mapping COVID-19 in Space and Time: Understanding the Spatial and Temporal Dynamics of a Global Pandemic, edited by S. L. Shaw and D. Z. Sui, Springer International Publishing, DOI: 10.1007/978-3-030-72808-3

Lyu, F., Xu, Z., Ma, X., Wang, S. H., Li, Z., and Wang, S. (2021) “A Vector-Based Method for Drainage Network Analysis Based on LiDAR Data”. Computers & Geosciences, https://doi.org/10.1016/j.cageo.2021.104892

Michels, A., Padmanabhan, A., Li, Z., and Wang, S. (2021) “Towards Reproducible Research on CyberGISX with Lmod and Easybuild”. In: Proceedings of the Gateways 2021 Conference, October 19 – 21, 2021, DOI: 10.5281/zenodo.5569659

Padmanabhan, A., Vandewalle, R.. C., Xiao, Z., Baig, F., Michels, A., Li, Z., and Wang, S. (2021) “CyberGIS-Compute for enabling computationally intensive geospatial research”. In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs, https://doi.org/10.1145/3486189.3490017.

Shook, E., Bowlick, F., Padmanabhan, A., Kemp, K. (2021) “The Hour of Cyberinfrastructure (Hour of CI): Early Findings from Pilot Study to Build Cyber Literacy for GIScience”. In: 2021 IEEE/ACM Workshop on Education for High-Performance Computing (EduHPC), DOI: 10.1109/EduHPC54835.2021.00007.

Soltani, K., Padmanabhan, A., and Wang, S. (2021) “GeoBalance: Workload-aware Partitioning of Real-time Spatiotemporal Data”. GeoInformatica, http://dx.doi.org/10.1007/s10707-021-00444-z

Stanislawski, L. V., Shavers, E. J., Wang, S., Jiang, Z., Usery, E. L., Moak, E., Duffy, A., and Schott, J. (2021). “Extensibility of U-Net Neural Network Model for Hydrographic Feature Extraction and Implications for Hydrologic Modeling”. Remote Sensing, 13(12), https://doi.org/10.3390/rs13122368

Wang, S., Bishop, M. P., Zhang, Z., Young, B. W., Xu, Z. (2021) “CyberGIS and Geospatial Data Science for Advancing Geomorphology”. In: Treatise on Geomorphology, 2nd edition, edited by J. F. Shroder, Elsevier, https://doi.org/10.1016/B978-0-12-818234-5.00122-X

Wang, S., Lyu, F., Wang, S., Catlett, C. E., Padmanabhan, A., and Soltani, K. (2021) “Integrating CyberGIS and Urban Sensing for Reproducible Streaming Analytics”. In: Urban Informatics, edited by W. Shi, M. F. Goodchild, M. Batty, M.-P. Kwan, and A. Zhang, The Urban Book Series, Springer, Singapore, https://doi.org/10.1007/978-981-15-8983-6_36

Xu, J., Gao, J., Holanda, H., Rodriguez, L., Caixeta-Filho, J. V., Zhong, R., Jiang, H., Li, H., Du, Z., Wang, X., Wang, S., Ting, K. C., Ying, Y., and Lin, T. (2021) “Double Cropping and Cropland Expansion Boost Grain Production in Brazil”. Nature Food, https://doi.org/10.1038/s43016-021-00255-3

Xu, Z., Wang, S., Stanislawski, L. V., Jiang, Z., Jaroenchai, N., Sainju, A. M., Shavers, E., Usery, E. L., Chen, L., Li, Z., and Su, B. (2021) “An Attention U-Net Model for Detection of Fine-scale Hydrologic Streamlines”. Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2021.104992

Zhang, Z., Yin, D., Virrantaus, K., Ye, X., and Wang, S. (2021) “Modeling Human Activity Dynamics: An Object-class Oriented Space-time Composite Model Based on Social Media and Urban Infrastructure Data”. Computational Urban Science, https://doi.org/10.1007/s43762-021-00006-x

Cai, Y., Guan, K., Nafziger, E., Chowdhary, G., Peng, B., Jin, Z., Wang, S., and Wang, S-B. (2020) “Detecting In-Season Crop Nitrogen Stress of Corn for Field Trials Using UAV- and CubeSat-Based Multispectral Sensing”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, https://doi.org/10.1109/JSTARS.2019.2953489

Calyam, P., Wilkins-Diehr, N., Miller, M., Brookes, E. H., Arora, R., Chourasia, A., Jennewein, D. M., Nandigam, V., Drew LaMar, M., Cleveland, S. B., Newman, G., Wang, S., Zaslavsky, I., Cianfrocco, M. A., Ellett, K., Tarboton, D. G., Jeffery, K. G., Zhao, Z., González-Aranda, J., Perri, M. J., Tucker, G., Candela, L., Kiss, T., and Gesing, S. (2020) “Measuring Success for a Future Vision: Defining Impact in Science Gateways/Virtual Research Environments”. Concurrency and Computation: Practice and Experience, https://doi.org/10.1002/cpe.6099 

Davis, A. and Wang, S. (2020) “A Concurrent Entity Component System for Geographical Wildlife Epidemiological Modeling”. Geographical Analysis, http://dx.doi.org/10.1111/gean.12258

Guo, M. and Wang, S. (2020) “Quantum Computing for Solving Spatial Optimization Problems”. In: High-Performance Computing for Geospatial Applications, edited by W, Tang and S. Wang, Springer, Cham, pages: 97-113

Jiang, H., Hu, H., Wang, S., Ying, Y., and Lin, T. (2020) “Understanding the Impact of Sub-Seasonal Meteorological Variability on Corn Yield in the U.S. Corn Belt”. Science of the Total Environment, https://doi.org/10.1016/j.scitotenv.2020.138235

Kang, J. Y., Aldstadt, J., Vandewalle, R., Yin, D., and Wang, S. (2020) “A CyberGIS Approach to Spatiotemporally Explicit Uncertainty and Global Sensitivity Analysis for Agent-based Modeling of Vector-borne Disease Transmission”. Annals of the American Association of Geographers, https://doi.org/10.1080/24694452.2020.1723400

Kang, J. Y., Michels, A., Lyu, F., Wang, S., Agbodo, N., Freeman, V. L., and Wang, S. (2020) “Rapidly Measuring Spatial Accessibility of COVID-19 Healthcare Resources: A Case Study of Illinois, USA”. International Journal of Health Geographics, 19, https://doi.org/10.1186/s12942-020-00229-x

Li, T., Gao, Y., and Wang, S. (2020) “ESCIP: An Expansion-based Spatial Clustering Method for Inhomogeneous Point Processes”. Annals of the Association of American Geographers, 110(1): 59–276, https://doi.org/10.1080/24694452.2019.1625747

Li, T., Stanislawski, L.V., Brockmeyer, T, Wang, S., and Shavers, E. (2020) “OpenCLC: An Open-Source Software Tool for Similarity Assessment of Linear Hydrographic Features”. SoftwareX, DOI:10.1016/j.softx.2020.100401

Michels, A., Kang, J. Y., and Wang, S. “An Exploration of the Effect of Buyer Preference and Market Composition on the Rent Gradient Using the ALMA Framework”. In: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (pp. 48-51), November 3, 2020

Tang, W. and Wang, S. (2020) “High-Performance Computing for Geospatial Applications”. Springer, Cham, https://doi.org/10.1007/978-3-030-47998-5

Tang, W. and Wang, S. (2020) “Navigating High Performance Computing for Geospatial Applications”. In: High-Performance Computing for Geospatial Applications, edited by W, Tang and S. Wang, Springer, Cham, pages: 1-5

Vandewalle, B., Barley, W. C., Padmanabhan, A., Katz, D. S., and Wang, S. (2020) “Understanding the Multifaceted Geospatial Software Ecosystem: A Survey Approach”. International Journal of Geographical Information Science (IJGIS), https://doi.org/10.1080/13658816.2020.1831514

Yin, D., Wang, S., and Ouyang, Y. (2020) “ViCTS: A Novel Network Partition Algorithm for Scalable Agent-Based Modeling of Mass Evacuation”. Computers, Environment and Urban Systems, https://doi.org/10.1016/j.compenvurbsys.2019.101452

Bandaragoda, C., Castronova, A., Istanbulluoglu, E., Strauch, R., Phuong, J., Adams, J., Gasparini, N., Barnhart, K., Hutton, E., Hobley, D., Lyons, N., Tucker, G., Tarboton, D., Isaszak, R., and Wang, S. (2019) “Enabling Collaborative Numerical Modeling in Earth Sciences Using Knowledge Infrastructure”. Environmental Modelling and Software, https://doi.org/10.1016/j.envsoft.2019.03.020

Cai, Y., Guan, K., Lobell, D., Potgieter, A. B, Wang, S., Peng, J., Xu, T., Asseng, S., Zhang, Y., You, L., and Peng, B. (2019) “Integrating Satellite and Climate Data to Predict Wheat Yield in Australia Using Machine Learning Approaches”. Agricultural and Forest Meteorology, 274: 144-159

Jeong, M-H. Sullivan, C.J., Gao, Y., and Wang, S. (2019) “Robust Abnormality Detection Methods for Spatial Search of Radioactive Materials”. Transactions in GIS, https://doi.org/10.1111/tgis.12533

Jiang, H., Hu, H., Zhong, R., Xu, J., Xu, J., Huang, J., Wang, S., Ying, Y., Lin, T. (2019) “A Deep Learning Approach to Conflating Heterogeneous Geospatial Data for Corn Yield Estimation: A Case Study of the U.S. Corn Belt at the County Level”. Global Change Biology, https://doi.org/10.1111/gcb.14885

Kang, J. Y., Aldstadt, J., Michels, A., Vandewalle, R., & Wang, S. (2019). CyberGIS-Jupyter for spatially explicit agent-based modeling: a case study on influenza transmission. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (pp. 32-35). ACM. https://dl.acm.org/citation.cfm?id=3365531

Koelsch, R., Rodriguez, L. F., Banner, S., Classen, J., Cotton, D., Deviney, A., Heemstra, J., Koziel, J., Meyer, D., Marshall, A.-M., Padmanabhan, A., and Steward, D. (2019) “Lessons Learned by INFEWS-ER’s virtual resource center for transdisciplinary graduate student training at the nexus of food, energy, and water”. Presented at the 2019 ASABE Annual International Meeting, Paper Number 1900876. DOI: 10.13031/aim.201900876

Lyu, F., Yin, D., Padmanabhan, A., Choi, Y., Goodall, J. L., Castronova, A., Tarboton, D., Wang, S. (2019) “Bridging Reproducible Hydrological Modeling with CyberGIS-Jupyter: A Case Study on SUMMA”. In: Proceedings of Practice and Experience in Advanced Research Computing (PEARC19), July 28-August 1, 2019, Chicago, IL, USA. https://dl.acm.org/citation.cfm?id=3333052

Padmanabhan, A., Yin, D., Lyu, F., Wang, S. (2019) “Bridging Local Cyberinfrastructure and XSEDE with CyberGIS-Jupyter”. In: Proceedings of Practice and Experience in Advanced Research Computing  (PEARC19), July 28-August 1, 2019, Chicago, IL, USA. (in press)

Rodríguez, L. F., Marshall, A.-M., Cotton, D., Koelsch, R., Koziel, J., Meyer, D., Steward, D., Heemstra, J., Padmanabhan, A., Classen, J., Meyer N. J., Ruddell B. L., Ryan S.M., Cai, X., Habib, E., and Saundry P. D. (2019) “The Development of the INFEWS-ER: A Virtual Resource Center for Transdisciplinary Graduate Student Training at the Nexus of Food, Energy, and Water”. Frontiers in Environmental Science, 7. DOI: 10.3389/fenvs.2019.00038

Shook, E., Bowlick, F., Kemp, K., Ahlqvist, O., Carbajales, P., DiBiase, D., Kim, E., Lathrop, S., Ricker, B., Rickles, P., Rush, J., Swift, J., and Wang, S. (2019) “Cyber Literacy for GIScience: Toward Formalizing Geospatial Computing Education”. The Professional Geographer, 71(2): 221-238

Vandewalle, R., Kang, J. Y., Yin, D., & Wang, S. (2019). Integrating CyberGIS-Jupyter and spatial agent-based modelling to evaluate emergency evacuation time. In Proceedings of the 2nd ACM SIGSPATIAL International Workshop on GeoSpatial Simulation (pp. 28-31). ACM. https://dl.acm.org/citation.cfm?id=3365530

Wang, S. (2019) “Cyberinfrastructure”. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2019 Edition), John P. Wilson (Ed.). DOI: 10.22224/gistbok/2019.2.2

Wilkins-Diehr, N., Miller, M., Brookes, E., Arora, R., Chourasia, A., Calyam, P., Jennewein, D., Nandigam, V., LaMar, M. D., Cleveland, S. B., Newman, G., Wang, S., Zaslavsky, I., Cianfrocco, M., Ellett, K., and Tarboton, D. (2019) “Measuring Success: How Science Gateways Define Impact”. In: Proceedings of the Gateways 2019 Conference, San Diego, California, USA, September 23 – 25, 2019

Zhang, Z., Hu, H., Yin, D., Kashem, S., Li, R., Cai, H., Perkins, D., and Wang, S. (2019) A cyberGIS-enabled multi-criteria spatial decision support system: A case study on flood emergency management, International Journal of Digital Earth, 12:11, 1364-1381

Armstrong, M. P., Wang, S. and Zhang, Z. (2018) “The Internet of Things and Fast Data Streams: Prospects for Geospatial Data Science in Emerging Information Ecosystems”. In: M. Freundschuh and D. Sinton (Eds.), Frontiers of Geospatial Data Science. Conference Proceedings, AutoCarto/UCGIS 2018, the 22nd International Research Symposium on Computer-based Cartography and GIScience (pp. 11-17)

Armstrong, M. P., Wang, S., and Zhang, Z. (2018) “The Internet of Things and Fast Data Streams: Prospects for Geospatial Data Science in Emerging Information Ecosystems”. Cartography and Geographic Information Science. DOI: https://doi.org/10.1080/15230406.2018.1503973

Cai, Y., Guan, K., Peng, J., Wang, S., Seifert, C., Wardlow, B., and Li, Z. (2018) “A High-Performance and In-Season Classification System of Field-Level Crop Types Using Time-Series Landsat Data and a Machine Learning Approach”. Remote Sensing of Environment. 210: 35-47

Davis, A. and Wang, S. (2018) “Geoexpression: A Petri Network Framework for Representing Geographic Process Concurrency”. Transactions in GIS. DOI: https://doi.org/10.1111/tgis.12477

Finn, M. P. Liu, Y., Mattli, D. M., Behzad, B., Yamamoto, K. H., Shook, E., Padmanabhan, A., Stramel, M., and Wang, S. (2018) “High-Performance Small-Scale Raster Map Projection Empowered by Cyberinfrastructure”. In: CyberGIS for Geospatial Innovation and Discovery, edited by S. Wang and M.F. Goodchild. Springer, Dordrecht, Netherlands, pages: 171-188

Gao, Y., Li, T., Wang, S., Jeong, M., and Soltani, K. (2018) “A Multidimensional Spatial Scan Statistics Approach to Movement Pattern Comparison”. International Journal of Geographical Information Science (IJGIS). 32(7): 1304-1325

Gao, Y., Wang, S., Padmanabhan, A., Yin, J., and Cao, G. (2018) “Mapping Spatiotemporal Patterns of Events Using Social Media: A Case Study of Influenza Trends”. IJGIS. 32(3), 425-449

Hu, H., Yin, D., Liu, Y. Y., Terstriep, J., Hong, X., Wendel, J., and Wang, S. (2018) “TopoLens: Building a CyberGIS Community Data Service for Enhancing the Usability of High-resolution National Topographic Datasets”. Concurrency and Computation: Practice and Experience. DOI: https://doi.org/10.1002/cpe.4682

Jeong, M., Yin, J., and Wang, S. (2018) “Outliers Detection and Comparison of Origin-Destination Flows with Data Depth”. In: Proceedings of the 10th International Conference on Geographic Information Science (GIScience 2018). August 28 – 31, 2018, Melbourne, Australia

Liu, Y. Y., Maidment, D. R., Tarboton, D. G., Zheng, X., and Wang, S. (2018) “A CyberGIS Integration and Computation Framework for High-Resolution Continental-Scale Flood Inundation Mapping”. Journal of the American Water Resources Association. DOI: https://doi.org/10.1111/1752-1688.12660

Lu, B., Wang, L., Liu, J. Zhou, W., Guo, L., Jeong, M., Wang, S., and Han, G. (2018) “LaSa: Location Aware Wireless Security Access Control for IoT Systems”. Mobile Networks and Applications. DOI: http://doi.org/10.1007/s11036-018-1088-x

Raubal, M., Wang, S., Guo, M., Jonietz, D., and Kiefer, P. (2018) “Proceedings of the Workshop on Spatial Big Data and Machine Learning in GIScience”. GIScience 2018. Melbourne, Australia

Soliman, A., Mackay, A., Schmidt, Allan, B., and Wang, S. (2018) “Quantifying the Geographic Distribution of Building Coverage Across the US for Urban Sustainability Studies”. Computers, Environment and Urban Systems. DOI: http://doi.org/10.1016/j.compenvurbsys.2018.05.010

Wang, S., and Goodchild, M. F. (2018) “CyberGIS for Geospatial Innovation and Discovery”. Springer. Dordrecht, Netherlands, DOI: 10.1007/978-94-024-1531-5

Xu, Z., Guan, K., Casler, N., Peng, B., and Wang, S. (2018) “A 3D Convolutional Neural Network Method for Land Cover Classification Using LiDAR and Multi-Temporal Landsat Imagery”. ISPRS Journal of Photogrammetry and Remote Sensing. DOI: https://doi.org/10.1016/j.isprsjprs.2018.08.005

Yin, D., Liu, Y., Hu, H., Terstriep, J., Hong, X., Padmanabhan, A., and Wang, S. (2018) “CyberGIS‐Jupyter for Reproducible and Scalable Geospatial Analytics”. Concurrency and Computation: Practice and Experience. https://doi.org/10.1002/cpe.5040

Zhang, C., Lei, D., Yuan, Q., Zhuang, H., Kaplan, L., Wang, S., and Han, J. (2018) “GeoBurst+: Effective and Real-Time Local Event Detection in Geo-Tagged Tweet Streams”. ACM Transactions on Intelligent Systems and Technology. 9(3), DOI: https://doi.org/10.1145/3066166

Zhang, Z., Demšar, U., Wang, S., and Virrantaus, K. (2018) “A Spatial Fuzzy Influence Diagram for Modelling Spatial Objects’ Dependencies: A Case Study on Tree-related Electric Outages”. IJGIS. 32(2): 349-366

Hu, H., Lin, T., Wang, S., and Rodriguez, L. (2017) “A CyberGIS Approach to Uncertainty and Sensitivity Analysis in Biomass Supply Chain Optimization”. Applied Energy, 203, 26-40. https://doi.org/10.1016/j.apenergy.2017.03.107

Prasad, S. K., Aghajarian, D., McDermott, M., Shah, D., Mokbel, M., Puri, S., Rey, S. J., Shekhar, S., Xe, Y., Vatsavai, R. R., Wang, F., Liang, Y., Vo, H., and Wang, S.“Parallel Processing over Spatial-Temporal Datasets from Geo, Bio, Climate and Social Science Communities: A Research Roadmap”. In: Proceedings of the 6th IEEE International Congress on Big Data, Honolulu, Hawaii, USA, June 25 – 30, 2017

Soliman, A., Soltani, K., Yin, J., Padmanabhan, A., and Wang, S. (2017) “Social Sensing of Urban Land Use Based on Analysis of Twitter Users’ Mobility Patterns”. PLOS ONE. DOI: https://doi.org/10.1371/journal.pone.0181657

Wang, S. (2017) “CyberGIS”. The International Encyclopedia of Geography. Edited by Douglas Richardson, Noel Castree, Michael F. Goodchild, Audrey Kobayashi, Weidong Liu, and Richard A. Marston. John Wiley & Sons, Ltd. http://dx.doi.org/10.1002/9781118786352.wbieg0931

Xu, L., Kwan, M., McLafferty, S., and Wang, S. (2017) “Predicting Demand for 311 Non-emergency Municipal Services: An Adaptive Space-Time Kernel Approach”. Applied Geography. 89: 133-141

Yin, D., Liu, Y., Padmanabhan, A., Terstriep, J., Rush, J., and Wang, S. (2017) “A CyberGIS-Jupyter Framework for Geospatial Analytics at Scale”. In: Proceedings of the 2017 Practice & Experience in Advanced Research Computing (PEARC’17). July 9–13. New Orleans, LA.
https://dl.acm.org/citation.cfm?id=3093378

Yin, J., Gao, Y., and Wang, S. (2017) “CyberGIS-Enabled Urban Sensing from Volunteered Citizen Participation Using Mobile Devices”. In: Seeing Cities Through Big Data: Research, Methods, and Applications in Urban Informatics.

Yin, J., Soliman, A., Yin, D, and Wang, S. (2017) “Depicting Urban Boundaries from a Mobility Network of Spatial Interactions: A Case Study of Great Britain with Geo-located Twitter Data”. International Journal of Geographical Information Science. 31(7), 1293-1313.
https://doi.org/10.1080/13658816.2017.1282615

Zhang, C., Zhang, K., Yuan, Q., Peng, H., Zheng, Y., Hanratty, T., Wang, S., and Han, J. (2017) “Regions, Periods, Activities: Uncovering Urban Dynamics via Cross-Modal Representation Learning”. In: Proceedings of the 26th International World Web Conference (WWW). Perth, Australia, April 3 – 7, 2017

Casler, N. Soltani, K., Hu, H., Lu, B., Yin, D., Liu, Y., and Wang, S. (2016) “Multigrid Framework for Large Scale Global Raster Analytics”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

Hu, H., Hong, X., Terstriep, J., Liu, Y., Finn, M., Rush, J., Wendel, J., and Wang, S. (2016) “TopoLens: Building A CyberGIS Community Data Service for Enhancing the Usability of High-resolution National Topographic Datasets”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949652

Hu, H., Lin, T., Li, B., and Wang, S. (2016) “Spatiotemporal Bayesian Hierarchical Model for Analysis of Weather Variability on Crop Yield”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

Jeong, M.-H., Cai, Y., Sullivan, C. J., and Wang, S. (2016) “Data depth based clustering analysis”. In: Proceedings of the 24th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2016). https://dl.acm.org/citation.cfm?id=2996984

Jeong, M.-H., Sullivan, C. J., and Wang, S. (2016) “Density maps based on data depth”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

Jeong, M.-H., Sullivan, C. J., and Wang, S. (2016) “Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods”. In: Proceedings IEEE Nuclear Science Symposium & Medical Imaging Conference. http://ieeexplore.ieee.org/document/8069703/

Jeong, M.-H., Sullivan, C. J., and Wang, S. (2016) “Urban search of radioactive materials enhanced by mobile sensor networks and geospatial methods”. In: IEEE Symposium on radiation measurements and applications.

Lawrence Stanislawski, Kornelijus Survila, Jeffrey Wendel, Yan Liu, and Barbara Buttenfield. (2016) “An Open Source Solution to High Performance Processing for Extracting Drainage Channels from Diverse Terrain Conditions”. AutoCarto 2016. September 14-16, 2016. Albuquerque, New Mexico. accepted

Liu, Y.Y., Cho, W.K.T., and Wang, S. (2016) “PEAR: A Massively Parallel Evolutionary Computational Approach for Political Redistricting Optimization and Analysis”. Journal of Swarm and Evolutionary Computation. 30, 78-92. http://dx.doi.org/10.1016/j.swevo.2016.04.004

Shook, E., Hodgson, M. E., Wang, S., Behzad, B., Soltani, K., Hiscox, A., and Ajayakumar, J. “Parallel cartographic modeling: A methodology for parallelizing spatial data processing.” International Journal of Geographical Information Science. 30(12), 2355-2376. https://doi.org/10.1080/13658816.2016.1172714

Soliman, A., Soltani, K., Padmanabhan, A., and Wang, S. (2016) “Consistency of Social Sensing Signatures Across Major US Cities”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

Soltani, K., Padmanabhan, A., Liu, Y., and Wang, S. (2016) “Fast Indexing of Spatial Objects Using GeoHash”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

Soltani, K., Soliman, A., Padmanabhan, A., and Wang, S. (2016) “UrbanFlow: Large-scale Framework to Integrate Social Media and Authoritative Landuse Maps”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949578

Stanislawski, L., Liu, Y., Buttenfield, B., Survila, K., and Wendel, J. (2016) “High Performance Computing to Support Multiscale Representation of Hydrography for the Conterminous United States”. 19th ICA Workshop on Generalisation and Multiple Representation. 14th June 2016. Helsinki, Finland. http://pubs.er.usgs.gov/publication/70191228

Survila, K., Yildirim, A.A., Li, T., Liu, Y., Tarboton, D., and Wang, S. (2016) “A Scalable High-performance Topographic Flow Direction Algorithm for Hydrological Information Analysis”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949571

Wang, S. (2016) Commentary: “CyberGIS and Spatial Data Science”. GeoJournal. 81(6), 965-968. https://doi.org/10.1007/s10708-016-9740-0

Yan Y Liu, David R Maidment, David G Tarboton, Xing Zheng, Ahmet Yildirim, Nazmus S Sazib, and Shaowen Wang. (2016) “A CyberGIS Approach to Generating High-resolution Height Above Nearest Drainage (HAND) Raster for National Flood Mapping”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois. http://dx.doi.org/10.13140/RG.2.2.24234.41925/1

Yildirim, A.A., Tarboton, D., Liu, Y., Sazib, N.S., and Wang, S. (2016) “Accelerating TauDEM for Extracting Hydrology Information from National-Scale High Resolution Topographic Dataset”. Proceedings of the 2016 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’16). July 17-21. Miami, Florida. https://dl.acm.org/citation.cfm?id=2949582

Yin, J., Lu, B., Yin, D., and Wang., S. (2016) “A Scalable Visual-analytics Approach for Studying Mobility Networks: Revealing Hierarchical Structures in Taxi Mobility Flows of New York”. The Third International Conference on CyberGIS and Geospatial Data Science. July 26–28, 2016, Urbana, Illinois.

Zhang, C., Zhou, G., Yuan, Q., Zhuang, H., Zheng, Y., Kaplan, L., Wang, S., and Han, J. “GeoBurst: Real-Time Local Event Detection in Geo-Tagged Tweet Streams”. The 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2016).
https://dl.acm.org/citation.cfm?id=2911519

Zhi, Y., Li, H., Wang, D., Deng, M., Wang, S., Gao, J., Duan, Z., and & Liu, Y. (2016) “Latent Spatio-Temporal Activity Structures: A New Approach to Inferring Intra-Urban Functional Regions via Social Media Check-in Data”. Geo-spatial Information Science. 19(2), 94-105.
https://doi.org/10.1080/10095020.2016.1176723

Cao, G., Wang, S., Hwang, M., Padmanabhan, A., Zhang, Z., and Soltani, K. (2015) “A Scalable Framework for Spatiotemporal Analysis of Location-based Social Media Data”. Computers, Environment and Urban Systems. 51, 70-82. https://doi.org/10.1016/j.compenvurbsys.2015.01.002

Helwig, N. E., Gao, Y., Wang, S., and Ma, P. (2015) “Analyzing Spatiotemporal Trends in Social Media Data via Smoothing Spline Analysis of Variance”. Spatial Statistics. 14, 491-504. https://doi.org/10.1016/j.spasta.2015.09.002

Hu, H., Lin, T., Liu, Y.Y., Wang, S., and Rodriguez, L. (2015) “CyberGIS-BioScope: A Cyberinfrastructure-based Spatial Decision-Making Environment for Biomass-to-Biofuel Supply Chain Optimization”. Concurrency and Computation: Practice and Experience. 27(16), 4437-4450. http://dx.doi.org/10.1002/cpe.3535

Jeong, M.-H., Sullivan, C. J., and Wang, S. (2015) “Complex radiation sensor networks analysis with big data analytics”. In Proceedings IEEE Nuclear Science Symposium & Medical Imaging Conference. San Diego, California, USA. http://ieeexplore.ieee.org/abstract/document/7581760/

Jeong, M.-H., Wang, S., and Sullivan, C. J. (2015) “Analysis of Dynamic Radiation Level Changes Using Surface Networks”. Proceedings of Advancing Geographic Information Science: The past and Next Twenty Years. accepted

Lin, T., Wang, S., Rodríguez, L. F., Hu, H., and Liu, Y.Y. (2015) “CyberGIS-Enabled Decision Support Platform for Biomass Supply Chain Optimization”. Environmental Modelling & Software. 70, 138-148. https://doi.org/10.1016/j.envsoft.2015.03.018

Liu, Y.Y, Cho, W.K.T., and Wang, S. (2015) “A Scalable Computational Approach to Political Redistricting Optimization”. Proceedings of the 2015 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’15), July 26-30. St Louis, Missouri. accepted. DOI: 10.1145/2792745.2792751

Liu, Y.Y., and Wang, S.(2015) “A Scalable Parallel Genetic Algorithm for the Generalized Assignment Problem.” Parallel Computing. 46, 98-119.
http://dx.doi.org/10.1016/j.parco.2014.04.008

Liu, Y.Y., Padmanabhan, A., and Wang, S. (2015) “CyberGIS Gateway for Enabling Data-Rich Geospatial Research and Education.” Concurrency and Computation: Practice and Experience. 27(2), 395-407. http://dx.doi.org/10.1002/cpe.3256

McGrath, J. M., Betzelberger, A. M., Wang, S., Shook, E., Zhu, X., Long, S. P., and Ainsworth, E. (2015) “An Analysis of Ozone Damage to Historical Maize and Soybean Yields in the United States”. Proceedings of the National Academy of Sciences. 112(46), 14390-14395. https://doi.org/10.1073/pnas.1509777112

Pineda-Morales, L., Subramaniam, B., Keahey, K., Antoniu, G., Costan, A., Wang, S., Padmanabhan, A., and Soliman, A. (2015) “Scaling Smart Appliances for Spatial Data Synthesis”. Poster at Supercomputing 2015 (SC’15). accepted.

Shi, X. and Wang, S. (2015) “Computational and Data Sciences for Health-GIS”. Annals of GIS. 21(2). 111-118.
https://doi.org/10.1080/19475683.2015.1027735

Shook, E. and Wang, S. (2015) “Investigating the Influence of Spatial and Temporal Granularities on Agent-Based Modeling”. Geographical Analysis. 47(4). 321-348. http://dx.doi.org/10.1111/gean.12080

Soliman, A., Yin, J., Soltani, K., Padmanabhan, A., and Wang, S. (2015) “Where Chicagoans tweet the most: Semantic analysis of preferential return locations of Twitter users”. Proceedings of the First ACM SIGSPATIAL International Workshop on Smart Cities and Urban Analytics (UrbanGIS’15).
https://dl.acm.org/citation.cfm?id=2835032

Soltani, K., Padmanabhan, A., and Wang, S. (2015) “MovePattern:Interactive framework to provide scalable visualization of movement patterns”. Proceedings of the 2015 ACM SIGSPATIAL International Workshop on Computational Transportation Science. accepted.

Soltani, K., Parameswaran, A., and Wang, S. (2015) “GeoHashViz: Interactive Analytics for Mapping Spatiotemporal Diffusion of Twitter Hashtags”. Proceedings of the 2015 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’15). accepted. DOI: 10.1145/2792745.2792782

Wang, S., Liu, Y., and Padmanabhan, A. (2015) “Open CyberGIS Software for Geospatial Research and Education in the Big Data Era”. SoftwareX. 5, 1-5. https://doi.org/10.1016/j.softx.2015.10.003

Wendel, J., Finn, M. P., Kosovich, J., Falgout, J., and Liu, Y. (2015) “A solution for processing large files in the LASer (LAS) format using the message passing interface (MPI) and parallel file systems”. In: Proceedings of a pre-conference workshop of the 27th International Cartographic Conference: Spatial data infrastructures, standards, open source and open data for geospatial (SDI-Open 2015). 20-21 August 2015, Brazilian Institute of Geography and Statistics (IBGE), Rio de Janeiro, Brazil.

Yin, D., Du, S., Wang, S., and Guo, Z. (2015) “A Direction-Guided Ant Colony Optimization Method for Extraction of Urban Road Information from Very-High-Resolution Images”. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS). 8(10), 4785-4794. http://ieeexplore.ieee.org/abstract/document/7293629/

Cao, G., Yoo, E., and Wang, S. (2014) “A Statistical Framework of Data Fusion for Spatial Prediction of Categorical Variables.” Stochastic Environmental Research and Risk Assessment. 28(7), 1785-1799. https://doi.org/10.1007/s00477-013-0842-7

Fan, Y., Liu, Y.Y., Wang, S., Tarboton, D., Yildirim, A., and Wilkins-Diehr, N. (2014) “Accelerating TauDEM as a Scalable Hydrological Terrain Analysis Service on XSEDE”. Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’14). pages: 5:1–5:2. ACM Press. July 13-18, Atlanta, GA. http://doi.acm.org/10.1145/2616498.2616510.

Hu, H., Lin, T., Liu, Y., Wang, S., and Rodriguez, L. (2014) “CyberGIS-BioScope: A Cyberinfrastructure-based Spatial Decision-Making Environment for Biomass-to-Biofuel Supply Chain Optimization”. In: Proceedings of the 2014 ACM workshop on Gateway computing environments (GCE’14). Nov. 21, 2014. New Orleans, Louisiana, USA

Padmanabhan, A., Wang, S., Cao, G., Hwang, M., Zhang, Z., Gao, Y., Soltani, K., and Liu, Y.Y. (2014) “FluMapper: A CyberGIS Application for Interactive Analysis of Massive Location-based Social Media.” Concurrency and Computation: Practice and Experience. 26(13), 2253–2265. http://dx.doi.org/10.1002/cpe.3287

Riteau, P., Hwang, M, Padmanabhan, A., Gao, Y., Liu, Y.Y., Keahey, K., and Wang, S. (2014) “A Cloud Computing Approach to On-Demand and Scalable CyberGIS Analytics”. In: Proceedings of the 5th ACM workshop on Scientific cloud computing (ScienceCloud ’14). pages 17-24 ACM Press. June 23, 2014, Vancouver, BC, Canada. http://doi.acm.org/10.1145/2608029.2608032

Wang, S., Hu, H., Lin, T., Liu, Y., Padmanabhan, A., and Soltani, K. (2014) “CyberGIS for Data-Intensive Knowledge Discovery”. ACM SIGSPATIAL Newsletter. 6(2), 26-33. https://dl.acm.org/citation.cfm?id=2744704

Ye, S., Li, H., Huang, M., Alic, M., Leng, G., Leung, L. R., Wang, S., and Sivapalan, M. (2014) “Regionalization of Subsurface Stormflow Parameters of Hydrologic Models: Derivation from Regional Analysis of Streamflow Recession Curves.” Journal of Hydrology. 519, 670–682. https://doi.org/10.1016/j.jhydrol.2014.07.017

Youn, C., Nandigam, V., Phan, M., Tarboton, D., Wilkins-Diehr, N., Baru, C., Crosby, C., Padmanabhan, A., and Wang, S. (2014) “Leveraging XSEDE HPC resources to address computational challenges with high-resolution topography data”. Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment (XSEDE’14). pages: 59:1–59:2. ACM Press. July 13-18, Atlanta, GA. http://dx.doi.org/10.1145/2616498.2616564

Zhang, Z., Wang, S., Cao, G., Padmanabhan, A., and Wu, K. (2014) “A Scalable Approach to Extracting Mobility Patterns from Social Media Data.” In: Proceedings of the 22nd International Conference on Geoinformatics (Geoinformatics 2014). pages 1-6, IEEE Xplore Digital Library. http://ieeexplore.ieee.org/abstract/document/6950845/

Hwang, M., Wang, S., Cao, G., Padmanabhan, A., and Zhang, Z. (2013) “Spatiotemporal Transformation of Social Media Geostreams: A Case Study of Twitter for Flu Risk Analysis.” In: Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming (IWGS). November 5 2013, Orlando, Florida, USA

Leetaru, K., Wang, S., Cao, G., Padmanabhan, A., and Shook, E. (2013) “Mapping the Global Twitter Heartbeat: The Geography of Twitter.” First Monday. 18(5). http://dx.doi.org/10.5210/fm.v18i5.4366

Liu, Y. Y., Guo M., and Wang, S. (2013) “Large-scale Land Use Optimization by Enhancing a Scalable Parallel Genetic Algorithm Library.” In: Proceedings of XSEDE 2013: Extreme Science and Engineering Discovery Environment: Gateway to Discovery. Jul 22-25 2013, San Diego, CA, USA.

Liu, Y., Padmanabhan, A., and Wang S. (2013) “CyberGIS Gateway for Enabling Data-Rich Geospatial Research and Education”. In: Proceedings of Science Gateway Institute Workshop (IEEE Cluster 2013). pages: 1-3. September 27, 2013, Indianapolis, Indiana. http://dx.doi.org/10.1109/CLUSTER.2013.6702694.

Padmanabhan, A., Wang, S., Cao, G., Hwang, M., Zhao, Y., Zhang, Z., and Gao, Y. 2013. “FluMapper: An Interactive CyberGIS Environment for Massive Location-based Social Media Data Analysis.” In: Proceedings of XSEDE 2013: Extreme Science and Engineering Discovery Environment: Gateway to Discovery. Jul 22-25 2013, San Diego, CA, USA.

Padmanabhan, A., Youn, C., Hwang, M., Liu, Y., Wang, S., Wilkins-Diehr, N., and Crosby, C. (2013) “Integration of Science Gateways: A Case Study with CyberGIS and OpenTopography.” In: Proceedings of XSEDE 2013: Extreme Science and Engineering Discovery Environment: Gateway to Discovery. Jul 22-25 2013, San Diego, CA, USA.

Shook, E., Wang, S., and Tang, W. “A Communication-Aware Framework for Parallel Spatially Explicit Agent-Based Models.” International Journal of Geographical Information Science. 27(11), 2160-2181. https://doi.org/10.1080/13658816.2013.771740

Wang, S. (Editor) “Special Issue on CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science. 27(11)

Wang, S. “CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science. 27(11), 2119-2121. https://doi.org/10.1080/13658816.2013.841318

Wang, S., Anselin, L., Bhaduri, B., Crosby, C., Goodchild, M. F., Liu, Y., and Nyerges, T. L. (2013) “CyberGIS Software: A Synthetic Review and Integration Roadmap.” International Journal of Geographical Information Science. 27(11), 2122-2145. https://doi.org/10.1080/13658816.2013.776049

Wang, S., Cao, G., Zhang, Z., Zhao, Y., and Padmanabhan, A. (2013) “A CyberGIS Environment for Analysis of Location-Based Social Media Data.” In: Location-Based Computing and Services, 2nd Edition. ed. A. K. Hassan, and H. Amin, CRC Press, pages: 187-205

Zhao, Y., Padmanabhan, A., and Wang, S. (2013) “A Parallel Computing Approach to Viewshed Analysis of Large Terrain Data Using Graphics Processing Units.” International Journal of Geographical Information Science. 27(2), 363-384. https://doi.org/10.1080/13658816.2012.692372