Wenwen Li

Recommended Readings

• W. Li (2020). GeoAI: Where machine learning and big data converge in GIScience. Journal of Spatial Information Science, 20(2020), 71-77.
• W. Li, M. Batty and M.F. Goodchild (2019). Real-time GIS for smart cities. International Journal of Geographical Information Science , https://doi.org/10.1080/13658816.2019.1673397.
• S. Wang and W. Li (2019). Capturing the dance of the Earth: PolarGlobe: real-time scientific visualization of vector field data to support climate science. Computers, Environment and Urban Systems, 77(2019), 101352.

Articles in Referred Journals    (total 84 articles)

• M.F. Goodchild and W. Li (2021). Replication across space and time must be weak in the social and environmental sciences. Proceedings of the National Academy of Sciences, 118 (35) e2015759118; https://doi.org/10.1073/pnas.2015759118.
• W. Li, C. Hsu and M. Hu (2021). Tobler’s First Law in GeoAI: A spatially explicit deep learning model for terrain feature detection under weak supervision. Annals of the American Association of Geographers, 10.1080/24694452.2021.1877527.
• C. Hsu, W. Li, and S. Wang (2021). Knowledge-driven GeoAI: Integrating spatial knowledge into multi-scale deep learning for Mars crater detection. Remote Sensing , 13(11), 2116.
• H. Fan, Z. Zhao and W. Li (2021). Towards measuring shape similarity of polygons based on multiscale features and grid context descriptors. ISPRS International Journal of Geo-Information, 10(5), 279.
• X. Yang, N. Bao, W. Li, S. Liu, Y. Fu, Y., and Y. Mao (2021). Soil nutrient estimation and mapping in farmland based on UAV imaging spectrometry. Sensors, 21(11), 3919.
• T. Nyerges, J.A. Gallo, S.D. Prager, K.M. Reynolds, P. J. Murphy, and W. Li (2021). Synthesizing vulnerability, risk, resilience and sustainability into VRRSability for improving geoinformation decision support evaluations. ISPRS International Journal of Geo-Information, 10(3), 179.
• M. Song, S. Liu, W. Li, S. Chen, W. Li, K. Zhang, ... and X. Wang (2021). A continuous space location model and a particle swarm optimization-based heuristic algorithm for maximizing the allocation of ocean-moored buoys. IEEE Access , 9, 32249-32262.
• W. Li (2020). GeoAI: Where machine learning and big data converge in GIScience. Journal of Spatial Information Science, 20(2020), 71-77.
• H. Shao, W. Li, and W. Kang, S.J. Rey (2020). When spatial analytics meets cyberinfrastructure: a replicable cyberinfrastructure for online spatial-statistical-visual analytics Journal of Geovisualization and Spatial Analysis, 4(2020), 17.
• M.F. Goodchild, S. Fotheringham, P. Kedron, W. Li (2020). Introduction: Forum on Reproducibility and Replicability in Geography Annals of the American Association of Geographers, (in press).
• P. Kedron, W. Li, S. Fotheringham and M.F. Goodchild (2020). Reproducibility and replicability: opportunities and challenges for geospatial research. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2020.1802032.
• K. Cao, W. Li, and R. Church. Big data, spatial optimization, and planning (2020). Environment and Planning B: Urban Analytics and City Science. Environment and Planning B: Urban Analytics and City Science, https://doi.org/10.1177/2399808320935269.
• S. Arundel, W. Li, and S. Wang (2020). GeoNat v1.0: A dataset for natural feature mapping with artificial intelligence and supervised learning. Transactions in GIS, http://dx.doi.org/10.1111/tgis.12633.
• J. Wilson, K. Butler, S. Gao, Y. Hu, W. Li, and D. Wright (2020). A five-star guide for achieving replicability and reproducibility when working with GIS software and algorithms. Annals of the American Association of Geographers,(in press).
• Q. Jia, W. Li, and D. Che (2020). A triangulated irregular network constrained ordinary kriging method for three-dimensional modeling of faulted geological surfaces. IEEE Access , DOI: 10.1109/ACCESS.2020.2993050.
• M. Stuhlmaher, R. Andrade*, B.L. Turner, A. Frazier, and W. Li (2020). Environmental Outcomes of Urban Land System Change: Comparing Riparian Design Approaches in the Phoenix Metropolitan Area. Land Use Policy , https://doi.org/10.1016/j.landusepol.2020.104615.
• W. Li, S. Wang, X. Zhang, Q. Jia and Y. Tian (2020). Understanding intra-urban human mobility through an exploratory space-time analysis of bike-sharing trajectories. International Journal of Geographical Information Science , DOI: 10.1080/13658816.2020.1712401.
• M. Yu, M. Bambacus, G. Cervone, K. Clarke, D. Duffy, Q. Huang, J. Li, W. Li, Z. Li, Q. Liu, B. Resch and C. Yang (2020). Spatiotemporal event detection: a review. International Journal of Digital Earth , pp.1-27.
• D. Ma, H. Fan, W. Li and X. Ding (2020). The state of Mapillary: an exploratory analysis. ISPRS International Journal of Geo-Information , 9(1), 10.
• Y. Hu, S. Gao, D. Lunga, W. Li, S. Newsam and B. Bhaduri (2019). GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions. SIGSPATIAL Special , 11(2), 5-15.
• N. Bao, W. Li, X. Gu and Y. Liu (2019). Biomass estimation for semiarid vegetation and mine rehabilitation using Worldview-3 and Sentinel-1 SAR Imagery. Remote Sensing , 2019(11), 2855.
• Z. Yang, Z. Gui, H. Wu and W. Li (2019). A latent feature based multimodality fusion method for theme classification on Web map service. IEEE Access , https://doi.org/10.1109/ACCESS.2019.2954851.
• W. Li, M. Song and Y. Tian (2019). An ontology-driven cyberinfrastructure for intelligent spatiotemporal question answering and open knowledge discovery. ISPRS International Journal of Geo-information , 8(11), 496.
• W. Li, M. Batty and M.F. Goodchild (2019). Real-time GIS for smart cities. International Journal of Geographical Information Science, https://doi.org/10.1080/13658816.2019.1673397.
• Z. Du, X. Zhang, W. Li, F. Zhang and R. Liu (2019). A multi-modal transportation-data-driven approach to identify urban functional zones: an exploration based on Hangzhou City, China. Transactions in GIS , https://doi.org/10.1111/tgis.12591.
• S. Wang and W. Li (2019). Capturing the dance of the Earth: PolarGlobe: real-time scientific visualization of vector field data to support climate science. Computers, Environment and Urban Systems ,77(2019), 101352.
• L. Song, S. Liu, and W. Li (2019). Quantitative inversion of fixed carbon content in coal gangue by thermal infrared spectral data. Energies , 12(9), 1659.
• Q. Jia, D. Che, and W. Li (2019). Effective coal seam surface modeling with an improved anisotropy-based, multiscale interpolation method. Computers and Geosciences, 124(2019): 72-84.
• X. Zhou, W. Li, and S. Arundel (2018). A spatio-contextual probabilistic model for extracting linear terrain feature from LiDAR data. International Journal of Geographical Information Science, https://doi.org/10.1080/13658816.2018.1554814.
• X. Zhang, W. Li, F. Zhang, R. Liu, and Z. Du (2018). Identifying urban functional zones using public bicycle rental records and Point-of-Interest data. International Journal of Geo-Information. 2018, 7(12), 459.
• W. Li and C.Y. Hsu, 2018. Automated terrain feature identification from remote sensing imagery: a deep learning approach. International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2018.1542697.
• Z. Li, A. S. Fotheringham, W. Li, T. Oshan (2018). Fast Geographically Weighted Regression (FastGWR): A scalable algorithm to investigate spatial process heterogeneity in millions of observations. International Journal of Geographical Information Science, DOI: 10.1080/13658816.2018.1521523.
• N. N. Haghighi, X. C. Liu, R. Wei, W. Li, and H. Shao (2018). Using Twitter data for transit performance assessment: a framework for evaluating transit riders’ opinions about quality of service.  Public Transport, 1-15.
• F. Wang, W. Li, S. Wang, and C.R. Johnson (2018). Association rule–based multivariate analysis and exploration of spatiotemporal climate data. ISPRS International Journal of Geo-information, 7(7), 266; doi: 10.3390/ijgi7070266.
• Z. Yang, W. Li, Q. Chen, S. Wu, S. Liu, and J. Gong (2018). A scalable cyberinfrastructure for above-ground forest biomass estimation based on Google Earth Engine. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2018.1494761.
• S. Wang, X, Jin, K. Adhikari, W. Li, M. Yu, Z. Bian, and Q. Wang (2018). Mapping total soil nitrogen from a site in northeastern China. CATENA , https://doi.org/10.1016/j.catena.2018.03. 023.
• H. Shao and W. Li (2018). A comprehensive optimization strategy for real-time spatial feature sharing and visual analytics in cyberinfrastructure. International Journal of Digital Earth. https://doi.org/10.1080/17538947.2017.1421719.
• W. Li (2018). Lowering the barriers for accessing distributed geospatial big data through large-scale web crawling to advance spatial data science: The PolarHub solution. Annals of the Association of American Geographers, doi: 10.1080/24694452.2017.1373625.
• S. Wang, W. Li, and F. Wang (2017). Web-scale multidimensional visualization of geospatial big data to support climate sciences. Informatics, 4(3), 17.
• H. Shao, Y. Zhang, and W. Li (2017). Extraction and analysis of tourists’ spatiotemporal behavior based on social media data. Computers, Environment and Urban Systems, 65, 66-78
• W. Li and S. Wang (2017). PolarGlobe: A Web-scale virtual globe system for visualizing multidimensional, time-varying, big climate data. International Journal of Geographical Information Science. doi: 10.1080/13658816.2017.1306863
• X. Zhou and W. Li (2017). A geographic object-based approach for land classification using LiDAR elevation and intensity. IEEE Geoscience and Remote Sensing Letters, 14(5), 669-673
• X. Zhou, W. Li, S. Wu, and S. Wang (2017). An ontology-driven, SVM approach for hyperspectral image classification. International Journal of Image and Data Fusion, 8(2), 112-129
• C. Fan, S.W. Myint, S.Rey, and W. Li (2017). Time series evaluation of landscape dynamics using annual Landsat imagery and spatial statistical modeling: Evidence from the Phoenix metropolitan region. International Journal of Applied Earth Observation and Geoinformation, 58, 12-25.
• Z. Li, M.E. Hodgson, and W. Li (2017). A General-Purpose Framework for Parallel Processing of Large-scale Lidar Data. International Journal of Digital Earth, 10(1), 1-21.
• W. Li, X. Zhou and S. Wu (2016). An integrated software framework to support semantic modeling and reasoning of spatiotemporal change of geographical objects – a use case of land cover and land use change study. ISPRS International Journal of Geoinformation, 5(10), 179.
• X. Ye, Q. Huang, and W. Li (2016). Integrating big social data, computing and modeling for spatial social science. Cartography and Geographic Information Science, 43(5), 377-378.
• F. Wang, W. Li, and S. Wang (2016). Polar cyclone identification from 4D climate data in a knowledge-driven visualization system. Climate, 4(3), 43; doi:10.3390/cli4030043.
• W. Li, S. Wang, and V. Bhatia (2016). PolarHub: A large-scale web crawling engine for OGC service discovery in cyberinfrastructure. Computers, Environment and Urban Systems, DOI: 10.1016/j.compenvurbsys.2016.07.004.
• W. Li, S. Wu, M. Song and X. Zhou (2016). A scalable cyberinfrastructure solution to support big data management and multivariate visualization of time-series sensor observation data Earth Science Informatics, DOI: 10.1007/s12145-016-0267-1.
• X. Li, W. Li, A. Middel, S.L. Harlan, A. Brazel, and B.L. Turner (2016). Remote sensing of the surface urban heat island and land architecture in Phoenix, Arizona: combined effects of land composition and configuration and cadastral-demographic-economic factors. Remote Sensing of Environment , 174 (2016), 233-243.
• M. Song, W. Li, B. Zhou and T. Lei (2016). Spatiotemporal data representation and its effect on the performance of spatial analysis in a cyberinfrastructure environment. Computers and Geosciences , 87(2016), 11-21.
• W. Li, K. Cao, R.L. Church (2016). Cyberinfrastructure, GIS and spatial optimization: challenges and opportunities. International Journal of Geographical Information Science, 30(3), 427-431.
• Y. Hu, S. Gao, K. Janowicz, B. Yu, W. Li, and S. Prasad (2016). Extracting and characterizing urban areas of interest using Flickr data. Computers, Environment and Urban Systems, doi:10.1016/j.compenvurbsys.2015.09.001.
• R.L. Church and W. Li (2016). Estimating spatial efficiency using Cybersearch, GIS and spatial optimization. International Journal of Geographical Information Science . (in press)
• W. Li and M.F. Goodchild (2015). An optimization technique for addressing DEM misregistration in hilly terrains. Annals of GIS. DOI:10.1080/19475683.2015.1085438.
• W. Xue, K. Cao, and W. Li (2015). Municipal solid waste collection optimization in Singapore. Applied Geography, 62, 182-190.
• W. Li, M. Song, B. Zhou, K. Cao, and S. Gao (2015). Performance improvement techniques for geospatial web services in a cyberinfrastructure environment. – A case study with a disaster management portal. Computers, Environment and Urban Systems. (in press)
• S. Rey, L. Anselin, X. Li, R. Pahle, J. Laura, W. Li, and J. Koshinsky (2015). Open Geospatial Analytics with PySAL. ISPRS International Journal of Geo-information, 4(2), 815-836.
• F. Chao, W. Li, L. Wolf, and S. Myint (2015). A spatiotemporal compactness pattern analysis of congressional districts to assess partisan gerrymandering: A case study with California and North Carolina. Annals of Association of American Geographers. (in press)
• J. Laura, W. Li, S. Rey and L. Anselin (2015). Parallelization of regionalization heuristic in in distributed computing platforms – A case study with parallel-p-compact-regions problem. International Journal of Geographical Information Science, (in press).
• W. Li, V. Bhatia, and K. Cao (2015). Towards an intelligent polar cyberinfrastructure: enabling semantic search in geospatial metadata catalogue to support polar data discovery. Earth Science Informatics, DOI: 10.1007/s12145-014-0185-z .
• M.J. Widener and W. Li (2014). Using geolocated Twitter data to monitor the prevalence of healthy and unhealthy food references across the US. Journal of Applied Geography, (Accepted).
• L. Anselin, S. Rey and W. Li (2014). Metadata and provenance for spatial analysis: the case of spatial weights. International Journal of Geographic Information Science, DOI:10.1080/13658816.2014.917313.
• W. Li, T. Chen, E.A. Wentz and C. Fan (2014). NMMI: A mass compactness measure for spatial pattern analysis of areal features. Annals of Association of American Geographers, 104(6), 1116-1133.
• S. Gao, L. Li, W. Li, K. Janowicz and Y. Zhang (2014). Constructing gazetteers from volunteered geographic information based on Hadoop. Computer, Environment and Urban Systems, DOI: 10.1016/j.compenvurbsys.2014.02.004.
• W. Li, R.L. Church and M.F. Goodchild (2014). The p-compact-regions problem. Geographical Analysis, 46(3), 250-273.
• K. Liu, C. Yang, W. Li, Z. Gui, C. Xu and J. Xia (2014). Using ontology and similarity calculations to rank Earth science data searching results. International Journal of Applied Geospatial Research, 5(2), 44-58.
• K. Cao, B. Huang, M. Li and W. Li (2013). Calibrating a cellular automata model for understanding rural–urban land conversion: a Pareto front-based multi-objective optimization approach. International Journal of Geographical Information Science, 28(5), 1028-1046.
• W. Li, R.L. Church and M.F. Goodchild (2013). An extendable heuristic framework to solve p-compact-regions problem for urban economic modeling. Computer, Environment and Urban Systems, 43(1), 1-13
• W. Li, L. Li, M.F. Goodchild and L. Anselin (2013). A geospatial cyberinfrastructure for economic policy analysis and decision-making. ISPRS International Journal of Geo-Information, 2(2), 413-431.
• W. Li, M.F. Goodchild and R.L. Church (2013). An efficient measure of compactness for 2D shapes and its application in regionalization problems. International Journal of Geographic Information Science, 27(6), 1227-1250.
• W. Li, M.F. Goodchild and R. Raskin (2012). Towards geospatial semantic search: exploiting latent semantic relations in geospatial data. International Journal of Digital Earth, DOI:10.1080/17538947.2012.674561.
• W. Li, R. Raskin and M.F. Goodchild (2012). Semantic similarity measurement based on knowledge mining: an artificial neural network approach. International Journal of Geographic Information Science, 26(8), 1415-1435.
• B. Zhou, C. Ye, W. Li, M. Song (2012). General-purpose graphics processing unit based large-scale pulse compression for a Costas signal. Shandong Science, 25(6), 47-53.
• W. Li, C. Yang, D. Nebert, R. Raskin and H. Wu (2011). Semantic-based service chaining for building a virtual Arctic spatial data infrastructure. Computers & Geosciences. 37(11), 1752-1762.
• Z. Li, C. Yang, H. Wu, W. Li and L. Miao (2011). An optimized framework for seamlessly integrating OGC Web Services to support geospatial sciences. International Journal of Geographic Information Science, 25(4), 595-613.
• W. Li, C. Yang and C. Yang (2010). An active crawler for discovering geospatial web services and their distribution pattern. International Journal of Geographic Information Science, 24(8), 1127-1147.
• W. Li, C. Yang and D. Sun (2009).Mining the correlation of geophysical parameters’ contribution to tropical storms through decision-Tree analysis. Computer and Geosciences, 35(2), 309-316.
• C. Yang, W. Li, J. Xie and B. Zhou (2008). Distributed geospatial information processing - sharing distributed geospatial resources to support the Digital Earth. International Journal of Digital Earth, 1(3), 259-278. DOI:10.1.1.92.7762.
• Y. Ren, W. Li and C. Yang (2008). Multi-scale line model for progressive transmission. Computer Engineering, 34(8), 25-28.
• B. Zhou, X. Wang, Y. Peng and W. Li (2007). The design of reconfigurable high speed data transmission in real-time image processing system. Control & Automation, 23(2), 15-17.
• L. Zhou, Y. Zhang and W. Li (2004). Adaptive tracking filter with input signal. Chinese Journal of Radio Science, 19(3), 354-356.

Book chapters/sections    (15 total)

• W. Li, M.F. Goodchild, L. Anselin, K. Weber (2019). A service-oriented smart cyberGIS framework for data-intensive geospatial problems. In: S. Wang and M.F. Goodchild (Eds) CyberGIS: Fostering a New Wave of Geospatial Discovery and Innovation. Springer , https://doi.org/10.1007/978-94-024-1531-5_10
• Ye, X., Li, W., & Huang, Q. (2018). A Synthesized Urban Science in the Context of Big Data and Cyberinfrastructure. In: Big Data Support of Urban Planning and Management ,(pp. 435-448). Springer, Cham.
• Y. Hu and W. Li (2017). Spatial Data Infrastructure. The Geographic Information Science & Technology Body of Knowledge (2nd Quarter 2017 Edition), John P. Wilson (ed.) . DOI: 10.22224/gistbok/2017.1.3.
• M. Song, W. Li, E. Liu, W. Xie, and D. Yu (2017). A hybrid parallel computing model to support scalable processing of big oceanographic spatial data. In: Yuan H., Geng J., Bian F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science , vol 699. Springer, Singapore, pp.276-285.
• W. Li, H. Shao, S. Wang, X. Zhou, and S. Wu (2016). A2CI: A Cloud-based, Service-oriented Geospatial Cyberinfrastructure to Support Atmospheric Research. In (T.C. Vance, N. Merati, C. Yang, and M. Yuan Eds): Cloud Computing in Ocean and Atmospheric Sciences, 137.
• E.A. Wentz and W. Li (2014). Shape. In The International Encyclopedia of Geography: People, the Earth, Environment, (in press)
• B. Zhou, C. Yeh, W. Li and W. Zhang (2013). Large-Scale Pulse Compression for Costas Signal with GPGPU. In Modern Accelerator Technologies for Geographic Information Science, pp. 133-143. Springer US.
• W. Li, M.F. Goodchild, R.L. Church and B. Zhou (2012). Geospatial Data Mining on the Web: Discovering Locations of Emergency Service Facilities. In: S. Zhou, S. Zhang and G. Karypis (Eds.) ADMA2012, Lecture Notes in Artificial Intelligence,7713,pp 552-563.
• C. Yang, H. Wu, Q. Huang, Z. Li, J. Li, W. Li, L. Miao and M. Sun (2011). WebGIS performance issues and solutions, ISPRS book on Advances in web-based GIS, mapping services and applications, London: Taylor & Francis, 121-138.
• W. Li and C. Yang (2010). Distributed geoinformation computing. Advanced Geoinformation Science, P. Yang. D. Wong, Q. Miao and R. Yang (Eds), CRC Press/Taylor and Francis, 83-92.
• W. Li, Q. Huang, C. Yang and Y. Cao (2010). Geospatial grid computing. Advanced Geoinformation Science, P. Yang. D. Wong, Q. Miao and R. Yang (Eds), CRC Press/Taylor and Francis, 99-109.
• M. Bambacus and W. Li (2010). Digital Earth. Advanced Geoinformation Science, P. Yang. D. Wong, Q. Miao and R. Yang (Eds), CRC Press/Taylor and Francis, 416-423.
• R. Raskin, N. Zhou and W. Li (2010). Geoinformation Knowledge Representation and Applications. Advanced Geoinformation Science, P. Yang. D. Wong, Q. Miao and R. Yang (Eds), CRC Press/Taylor and Francis, 275-302.
• Z. Li and W. Li (2010). Geobrowser and spatial web portals. Advanced Geoinformation Science, P. Yang. D. Wong, Q. Miao and R. Yang (Eds), CRC Press/Taylor and Francis, 234-239.
• W. Li, P. Yang and B. Zhou (2008). Internet-based spatial information retrieval. Encyclopedia of GIS 2008, 596-599.

Articles in Referred Conference and Workshop Proceedings    (22 total)

• S.T. Arundel, W. Li, and X. Zhou (2018). The effect of resolution on terrain feature extraction (No. e27072v1) , arXiv preprint arXiv:1805.10402.
• X. Zhou, W. Li, S. T. Arundel, and J. Liu (2018). Deep Convolutional Neural Networks for Map-Type Classification , arXiv preprint arXiv:1805.10402.
• W. Li, B. Zhou, C.Y. Hsu, Y. Li, and F. Ren. 2017. Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection. In: Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic Knowledge Discovery (GeoAI '17) , ACM, New York, NY, USA, 33-36. DOI: https://doi.org/10.1145/3149808.3149814.
• X. Li, W. Li, L. Anselin, S.J. Rey and J. Koschinsky (2014). A Map-Reduce Algorithm to Create Contiguity Weights for Spatial Analysis of Big Data. In: BigSpatial 2014, pp 50-53.
• W. Li, S.J. Rey, and L. Anselin (2014). SAM: A provenance model for spatial analytical methods. In: 8th International Conference on Geographic Information Science, Vienna, Austria. (extended abstract).
• W. Li, E.A. Wentz, and J. Merson (2014). Normalized moment of inertia to quantify space-time patterns of urban growth. In: 8th International Conference on Geographic Information Science, Vienna, Austria. (extended abstract).
• Y. Gai, B. Zhou, Y. Sun, Y. Zhou, and W. Li (2013). Study on extraction methods of ocean surface oil spill using HJ-CCD data. Advances in Intelligent Systems Research. doi:10.2991/rsete.2013.183.
• Y. Sun, B. Zhou, Y. Gai, Y. Zhou, and W. Li (2013). The extraction algorithm of ocean surface oil spill in gulf of mexico based on MODIS data. Advances in Intelligent Systems Research. doi:10.2991/rsete.2013.200.
• B. Zhou, C. Yeh, W. Li and W. Zhang (2012). Large-scale pulse compression for costas signal with GPGPU. 1st International Workshop on Modern Accelerator Technologies for GIScience, Columbus, Ohio, USA.
• Y. Hu, W. Li, K. Janowicz, K. Deutsch, G. McKenzie, and K. Goulias (2012). Using spatial-temporal signatures to infer human activities from personal trajectories on location-enabled mobile devices. Extended Abstracts of the Seventh International Conference on Geographic Information Science.
• K. Liu, C. Yang, W. Li, Z. Li, H. Wu, A. Rezgui and J. Xia (2011). The GEOSS clearinghouse high performance search engine. The 19th International Conference on Geoinformatics, Shanghai, China (in press).
• W. Li, C. Yang and R. Raskin (2010). Semantic registration for geoscientific data integration through ESIP semantic web testbed. 2010 IEEE International Geoscience and Remote Sensing Symposium (IGARSS10), Honolulu, HI.
• W. Li, C. Yang and R. Raskin (2009). A semantic meta-catalogue for intelligent geographic information discovery. In: Proceedings of 17th International Conference on Geoinformatics, Fairfax, VA, 1-5.
• Z. Zhou, B. Zhou, W. Li, B. Griglak, C. Caiseda and Q. Huang (2009). Evaluating query performance on object-relational spatial databases. In: Proceedings of 2nd IEEE International Conference on Computer Science and Information Technology, Beijing, China, 489-492.
• W. Li, C. Yang and R. Raskin (2008). A semantic enhanced model for searching in spatial web portals. In: Association for the Advancement of Artificial Intelligence-Semantic Scientific Knowledge Integration AAAI/SSKI Spring Workshop, Palo Alto, CA, 47-50.
• W. Li and P. Yang (2008). A Semantic Search Engine for Spatial Web Portal. In: Proceedings of IEEE International Geosciences and Remote Sensing Symposium, IGARSS08, Boston, US, II-1278- II-1281.
• M. Bambacus, C. Yang, J. Evans, Z. Li, W. Li and Q. Huang (2008). Sharing Earth science information to support the Global Earth Observing System of Systems (GEOSS). In: Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS08), Boston, US, I-141 – I-144.
• C. Yang, W. Li, D. Xiao, R. Raskin and M. Bambacus (2007). Earth information exchange-Sharing earth science information through interoperable approach and cyberinfrastructure. In: Proceedings of SPIE - The International Society for Optical Engineering, v 6753, n PART 2, Geoinformatics 2007: Geospatial Information Science, doi:10.1117/12.761878.
• W. Li, B. Zhou. C. Yang. Y. Ren and L. Yuan (2006). Design and implementation of an integrated WMS service portal. In: 2006 International Geoscience and Remote Sensing Symposium (IGARSS06), Denver, CO, 924-927.
• L. Yuan, Q. Zhang, W. Li and L. Zhou (2006). Debris flow hazard assessment based on support vector machine. In: 2006 International Geoscience and Remote Sensing Symposium (IGARSS06), Denver, CO, 4221-4224.
• L. Yuan, Q. Zhang, W. Li, Q. Zhang and W. Jiang (2006). DEM-based watershed topographic attributes extraction and analysis. In: 2006 International Geoscience and Remote Sensing Symposium (IGARSS06), Denver, CO, 2006, 911-913.
• W. Li, B. Zhou and C. Yang (2005). Constructing interactive E-Government platform based on J2EE, In: Proceedings of China National Computer Conference, Wuhan, Hubei, China, 2005, 147-148.

Thesis

• W. Li, Automated Data Discovery, Reasoning and Ranking in Support of Building an Intelligent Geographic Search Engine, Ph.D. Dissertation. George Mason University, August 2010.
• W. Li, Spatial Information Retrieval and Semantic Search (in Chinese), M.S. thesis, Chinese Academy of Science, July 2007.