PUBLICATIONS

2021

• 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, accepted
• 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, accepted
• 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, accepted
• 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, Springer, Heidelberg, Germany, accepted

2020

• 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

2019

2018

2017

• 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. DOI: 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. (2017) “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. DOI: https://doi.org/10.1109/BigDataCongress.2017.39
• 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 12(7). 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. DOI: 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. DOI: https://doi.org/10.1016/j.apgeog.2017.10.012
• 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. DOI: https://doi.org/10.1145/3093338.3093378
• 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. DOI: 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. DOI: http://dx.doi.org/10.1145/3038912.3052601

2016

• 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. DOI: https://doi.org/10.1145/2949550.2949652
• 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). DOI: https://doi.org/10.1145/2996913.2996984
• 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. DOI: https://doi.org/10.1109/NSSMIC.2016.8069703
• 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.
• 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. DOI: http://dx.doi.org/10.1016/j.swevo.2016.04.004
• Liu, Y.Y., Maidment, D.R., Tarboton, D.G., Zheng, X., Yildirim, A., Sazib, N.S., and Wang, S. (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. DOI: http://dx.doi.org/10.13140/RG.2.2.24234.41925/1
• Shook, E., Hodgson, M.E., Wang, S., Behzad, B., Soltani, K., Hiscox, A., and Ajayakumar, J. (2016) “Parallel cartographic modeling: A methodology for parallelizing spatial data processing.” International Journal of Geographical Information Science. 30(12), 2355-2376. DOI: 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. DOI: https://dl.acm.org/citation.cfm?id=2949578
• Stanislawski, V.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. DOI: http://pubs.er.usgs.gov/publication/70191228
• Stanislawski, V.L., Survila, K., Wendel, J., Liu, Y., and Buttenfield, B. (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. DOI: https://doi.org/10.1080/15230406.2017.1337524
• 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. DOI: https://dl.acm.org/citation.cfm?id=2949571
• Wang, S. (2016) Commentary: “CyberGIS and Spatial Data Science”. GeoJournal. 81(6), 965-968. DOI: https://doi.org/10.1007/s10708-016-9740-0
• 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. DOI: 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. (2016) “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). DOI: 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. DOI: https://doi.org/10.1080/10095020.2016.1176723

2015

• 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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). DOI: 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. DOI: https://doi.org/10.1145/2834882.2834883
• 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). 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. DOI: 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. DOI: http://ieeexplore.ieee.org/abstract/document/7293629/

2014

• 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. DOI: 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. DOI: http://doi.acm.org/10.1145/2616498.2616510. [presentation: PDF |PPT ]
• 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: 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. DOI: http://ieeexplore.ieee.org/abstract/document/6950845/

2013

• 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). DOI: 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. DOI: http://dx.doi.org/10.1109/CLUSTER.2013.6702694. PDF
• 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. (2013) “A Communication-Aware Framework for Parallel Spatially Explicit Agent-Based Models.” International Journal of Geographical Information Science. 27(11), 2160-2181. DOI: https://doi.org/10.1080/13658816.2013.771740
• Wang, S. (2013) “CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science. 27(11), 2119-2121. DOI: https://doi.org/10.1080/13658816.2013.841318
• Wang, S. (Editor) (2013) “Special Issue on CyberGIS: Blueprint for Integrated and Scalable Geospatial Software Ecosystems.” International Journal of Geographical Information Science. 27(11).
• 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. DOI: 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. DOI: https://doi.org/10.1080/13658816.2012.692372

2012

• Ye, S. Covino, T. P., Sivapalan, M., Basu, N. B., Li, H., and Wang, S. (2012) “Dissolved Nutrient Retention Dynamics in River Networks: A Modeling Investigation of Transient Flows and Scale Effects.” Water Resources Research. 48(6), 1-18. DOI: https://doi.org/10.1029/2011WR010508
• Wang, S., Wilkins-Diehr, N. R., and Nyerges, T. L. (2012) “CyberGIS – Toward Synergistic Advancement of Cyberinfrastructure and GIScience: A Workshop Summary.” Journal of Spatial Information Science, 4: 125-148. PDF
• Cao, K., Huang, B., Wang, S., and Lin, H. (2012) “Sustainable Land Use Optimization Using Boundary-based Fast Genetic Algorithm.” Computers, Environment, and Urban Systems. 36(3), 257-269. DOI: https://doi.org/10.1016/j.compenvurbsys.2011.08.001
• Cao, G., Wang, S., and Guan, Q. (2012) “A State-Space Model for Understanding Spatial Dynamics Represented by Areal Data.” In: Proceedings of the 7th International Conference on Geographic Information Science, September 19-21, 2012, Columbus, OH, USA. PDF
• Shook, E., Leetaru, K., Cao, G., Padmanabhan, A., and Wang. S. (2012) “Happy or Not : Generating Topic-based Emotional Heatmaps for Culturomics Using CyberGIS.” In: Proceedings of the 8th IEEE International Conference on eScience 2012, IEEE CS Press.

2011

• Bennett, D.A., Tang, W., and Wang, S. (2011) “Toward an Understanding of Provenance in Complex Land Use Dynamics.” Journal of Land Use Science. 6(2), 211-230. DOI: https://doi.org/10.1080/1747423X.2011.558598
• Tang, W., Bennett D.A., Wang, S. (2011) “A Parallel Agent-Based Model of Land Use Opinions.” Journal of Land Use Science. 6(2), 121-135. DOI: https://doi.org/10.1080/1747423X.2011.558597
• Tang, W., Wang, S., Bennett, D.A., and Liu, Y. (2011) “Agent-based Modeling within a Cyberinfrastructure Environment: A Service-Oriented Computing Approach.” International Journal of Geographical Information Science. 25(9), 1323–1346. DOI: https://doi.org/10.1080/13658816.2011.585342
• Wright, D.J. and Wang, S. (2011) “The Emergence of Spatial Cyberinfrastructure.” Proceedings of the National Academy of Sciences, 108 (14): 5488–5491. DOI: http://www.pnas.org/content/108/14/5488.short
• Armstrong, M.P., Nyerges, T.L., Wang, S., and Wright, D. (2011) “Connecting Geospatial Information to Society through Cyberinfrastructure”, In: The SAGE Handbook of GIS and Society, ed. T.L. Nyerges, H. Couclelis and R.B. McMaster, 109-122. Los Angeles: SAGE Publications, Inc.
• Shook, S., and Wang, S. (2011) “A Parallel Input-Output System for Resolving Spatial Data Challenges: An Agent-Based Model Case Study.” In: Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2011), November 1, 2011, Chicago, IL, USA. ACM Digital Library.
• Behzad, B., Padmanabhan, A., Liu, Y., Liu, Y., and Wang, S. (2011) “Integrating CyberGIS Gateway with Windows Azure: A Case Study on MODFLOW Groundwater Simulation.” In: Proceedings of the ACM SIGSPATIAL Second International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2011), November 1, 2011, Chicago, IL, USA. ACM Digital Library.
• Wang, S., Wilkins-Diehr, N., Padmanabhan, A. Shi, X., and Vatsavai, R. R. (2011) “Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (ACM SIGSPATIAL HPDGIS 2011).” ACM Digital Library. Proceedings
• Padmanabhan, A., Wang, S, and Navarro, J.P. (2011) “A CyberGIS Gateway Approach to Interoperable Access to the National Science Foundation TeraGrid and the Open Science Grid”. In: Proceedings of TeraGrid 2011 Conference: Extreme Digital Discovery, July, 2011, Salt Lake City, UT. PDF

2010

• Padmanabhan, A., S. Ghosh, and S. Wang. (2010) “A Self-Organized Grouping (SOG) Framework for Efficient Grid Resource Discovery. Journal of Grid Computing”. 8(3): 365-389. PDF
• Wang, S. (2010) “A CyberGIS Framework for the Synthesis of Cyberinfrastructure, GIS, and Spatial Analysis.” Annals of the Association of American Geographers, 100(3): 535-557.
• This is an Author’s Accepted Manuscript of an article [copyright Taylor & Francis], available online at: http://www.tandfonline.com/doi/abs/10.1080/00045601003791243.
• Wang, S. (2010) “Spatial Interpolation.” Encyclopedia of Geography. SAGE Publications, Inc.
• Liu, Y., Wu, K., Wang, S., Zhao, Y., and Huang, Q. (2010) “A MapReduce Approach to Gi*(d) Spatial Statistic”. In: Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2010), November 2, 2010, San Jose, CA, USA. DOI: https://doi.org/10.1145/1869692.1869695
• Padmanabhan, A., and Wang, S. (2010) “A Distributed Resource Broker for Spatial Middleware Using Adaptive Space-Filling Curve”. In: Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (ACM HPDGIS 2010), November 2, 2010, San Jose, CA, USA. PDF
• Wang, S., Wilkins-Diehr, N., Shi, X., Vatsavai, R. R., Zhang, J., and Padmanabhan, A. (2010) “Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems (ACM SIGSPATIAL HPDGIS 2010).” ACM Digital Library. http://dl.acm.org/citation.cfm?id=1869692&coll=DL&dl=GUIDE&CFID=316379789&CFTOKEN=21370394