Li, Wenwen

Replication across space and time must be weak in the social and environmental sciences

Goodchild, M. F., & Li, W. (2021) · Proceedings of the National Academy of Sciences

Spatial and Panel Data AnalysisSoil Geostatistics and Mapping

Cited by 157

GeoAI for Large-Scale Image Analysis and Machine Vision: Recent Progress of Artificial Intelligence in Geography

Li, W., & Hsu, C.-Y. (2022) · ISPRS International Journal of Geo-Information

Remote-Sensing Image ClassificationRemote Sensing and Land Use

Cited by 147

Reproducibility and replicability: opportunities and challenges for geospatial research

Kedron, P., Li, W., Fotheringham, S., & Goodchild, M. (2021) · International Journal of Geographical Information Science

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 108

Prithvi-EO-2.0: A Versatile Multitemporal Foundation Model for Earth Observation Applications

Szwarcman, D., Roy, S., Fraccaro, P., Gislason, T. E., Blumenstiel, B., Ghosal, R., de Oliveira, P. H., de Sousa Almeida, J. L., Sedona, R., Kang, Y., et al. (2026) · IEEE Transactions on Geoscience and Remote Sensing

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 100

Prithvi-EO-2.0: A Versatile Multi-Temporal Foundation Model for Earth Observation Applications

Szwarcman, D., Roy, S., Fraccaro, P., Gíslason, Þ. E., Blumenstiel, B., Ghosal, R., de Oliveira, P. H., Almeida, J. L. D. S., Sedona, R., Kang, Y., et al. (2024) · arXiv

Remote-Sensing Image ClassificationRemote Sensing in Agriculture

Cited by 99

Explainable GeoAI: can saliency maps help interpret artificial intelligence’s learning process? An empirical study on natural feature detection

Hsu, C.-Y., & Li, W. (2023) · International Journal of Geographical Information Science

Explainable Artificial Intelligence (XAI)Advanced Neural Network Applications

Cited by 75

GeoAI in terrain analysis: Enabling multi-source deep learning and data fusion for natural feature detection

Wang, S., & Li, W. (2021) · Computers, Environment and Urban Systems

Remote-Sensing Image ClassificationAdvanced Neural Network Applications

Cited by 59

GeoAI at ACM SIGSPATIAL: progress, challenges, and future directions

Hu, Y., Gao, S., Lunga, D., Li, W., Newsam, S., & Bhaduri, B. (2019) · SIGSPATIAL Special

Geographic Information Systems StudiesSpatial and Panel Data Analysis

Cited by 58

A Five-Star Guide for Achieving Replicability and Reproducibility When Working with GIS Software and Algorithms

Wilson, J. P., Butler, K., Gao, S., Hu, Y., Li, W., & Wright, D. J. (2021) · Annals of the American Association of Geographers

Scientific Computing and Data ManagementResearch Data Management Practices

Cited by 54

Knowledge-Driven GeoAI: Integrating Spatial Knowledge into Multi-Scale Deep Learning for Mars Crater Detection

Hsu, C.-Y., Li, W., & Wang, S. (2021) · Remote Sensing

Advanced Neural Network ApplicationsPlanetary Science and Exploration

Cited by 53

Performance improvement techniques for geospatial web services in a cyberinfrastructure environment – A case study with a disaster management portal

Li, W., Song, M., Zhou, B., Cao, K., & Gao, S. (2015) · Computers, Environment and Urban Systems

Geographic Information Systems StudiesEnvironmental Monitoring and Data Management

Cited by 52

Metadata and provenance for spatial analysis: the case of spatial weights

Anselin, L., Rey, S. J., & Li, W. (2014) · International Journal of Geographical Information Science

Scientific Computing and Data ManagementSpatial and Panel Data Analysis

Cited by 42

Assessment of a new GeoAI foundation model for flood inundation mapping

Li, W., Lee, H., Wang, S., Hsu, C.-Y., & Arundel, S. T. (2023) · arXiv

Flood Risk Assessment and ManagementRemote-Sensing Image Classification

Cited by 40

Assessment of a new GeoAI foundation model for flood inundation mapping

Li, W., Lee, H., Wang, S., Hsu, C.-Y., & Arundel, S. T. (2023) · Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Flood Risk Assessment and ManagementRemote-Sensing Image Classification

Cited by 39

GeoGraphVis: A Knowledge Graph and Geovisualization Empowered Cyberinfrastructure to Support Disaster Response and Humanitarian Aid

Li, W., Wang, S., Chen, X., Tian, Y., Gu, Z., Lopez-Carr, A., Schroeder, A., Currier, K., Schildhauer, M., & Zhu, R. (2023) · ISPRS International Journal of Geo-Information

Disaster Management and ResilienceGeographic Information Systems Studies

Cited by 35

Real-time GeoAI for high-resolution mapping and segmentation of arctic permafrost features: the case of ice-wedge polygons

Li, W., Hsu, C.-Y., Wang, S., Witharana, C., & Liljedahl, A. (2022) · Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery

Advanced Neural Network ApplicationsRemote-Sensing Image Classification

Cited by 9