| Assessing street-level urban greenery using Google Street View and a modified green view index X Li, C Zhang, W Li, R Ricard, Q Meng, W Zhang Urban Forestry & Urban Greening 14 (3), 675-685, 2015 | 762 | 2015 |
| Deep Convolutional Neural Networks for Automated Characterization of Arctic Ice-Wedge Polygons in Very High Spatial Resolution Aerial Imagery W Zhang, C Witharana, A Liljedahl, M Kanevskiy Remote Sensing 10 (9), 1487, 2018 | 113 | 2018 |
| Parcel-based urban land use classification in megacity using airborne LiDAR, high resolution orthoimagery, and Google Street View W Zhang, W Li, C Zhang, D Hanink, X Li, W Wang Computers, Environment and Urban Systems 64, 215-228, 2017 | 87 | 2017 |
| Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images W Zhang, C Witharana, W Li, C Zhang, X Li, J Parent Sensors 18 (8), 2018 | 77 | 2018 |
| Analyzing horizontal and vertical urban expansions in three East Asian megacities with the SS-coMCRF model W Zhang, W Li, C Zhang, H Dean, Y Liu, R Zhai Landscape and Urban Planning 117 (2018), 114, 2018 | 65 | 2018 |
| Detecting horizontal and vertical urban growth from medium resolution imagery and its relationships with major socioeconomic factors W Zhang, W Li, C Zhang, W Ouimet International Journal of Remote Sensing 38 (12), 3704-3734, 2017 | 51 | 2017 |
| Transferability of the Deep Learning Mask R-CNN Model for Automated Mapping of Ice-Wedge Polygons in High-Resolution Satellite and UAV Images W Zhang, AK Liljedahl, M Kanevskiy, HE Epstein, BM Jones, ... Remote Sensing 12 (7), 1085, 2020 | 48 | 2020 |
| Improving Object-Based Land Use/Cover Classification from Medium Resolution Imagery by Markov Chain Geostatistical Post-Classification W Wang, W Li, C Zhang, W Zhang Land 7 (1), 31, 2018 | 22 | 2018 |
| Land cover post-classifications by Markov chain geostatistical cosimulation based on pre-classifications by different conventional classifiers W Zhang, W Li, C Zhang International Journal of Remote Sensing 37 (4), 926-949, 2016 | 16 | 2016 |
| Incorporating Spectral Similarity Into Markov Chain Geostatistical Cosimulation for Reducing Smoothing Effect in Land Cover Postclassification W Zhang, W Li, C Zhang, X Li IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2016 | 14 | 2016 |
| Geo-mapping of COVID-19 Risk Correlates Across Districts and Parliamentary Constituencies in India SV Subramanian, O Karlsson, W Zhang, R Kim Harvard Data Science Review, 2020 | 11 | 2020 |
| The transiogram as a graphic metric for characterizing the spatial patterns of landscapes R Zhai, W Li, C Zhang, W Zhang, W Wang Landscape Ecology, 1-19, 2018 | 10 | 2018 |
| Parcel feature data derived from Google Street View images for urban land use classification in Brooklyn, New York City W Zhang, W Li, C Zhang, MD Hanink, X Li, W Wang Data in Brief 12 (2017), 175-179, 2017 | 10 | 2017 |
| Crowdsourcing for robust, real-time COVID-19 data W Zhang, R Kim, SV Subramanian Nature India, 2020 | 7 | 2020 |
| Parallel computing solutions for Markov chain spatial sequential simulation of categorical fields W Zhang, W Li, C Zhang, T Zhao International Journal of Digital Earth, 2018 | 7 | 2018 |
| COVID-19 metrics across parliamentary constituencies and districts in India W Wang, J Blossom, J Kim, P deSouza, W Zhang, R Kim, R Sarwal, ... Annals of GIS, 1-9, 2022 | 1 | 2022 |
| Spatial Variations of Village-Level Environmental Variables from Satellite Big Data and Implications for Public Health–Related Sustainable Development Goals X Liu, R Kim, W Zhang, WW Guan, SV Subramanian Sustainability 14 (16), 10450, 2022 | 1 | 2022 |
Xiaojiang LiAssistant Professor, Temple UniversityVerified email at uconn.edu
