| 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 | 828 | 2015 |
| Deep convolutional neural networks for automated characterization of arctic ice-wedge polygons in very high spatial resolution aerial imagery W Zhang, C Witharana, AK Liljedahl, M Kanevskiy Remote Sensing 10 (9), 1487, 2018 | 122 | 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, DM Hanink, X Li, W Wang Computers, Environment and Urban Systems 64, 215-228, 2017 | 92 | 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), 2484, 2018 | 84 | 2018 |
| Analyzing horizontal and vertical urban expansions in three East Asian megacities with the SS-coMCRF model W Zhang, W Li, C Zhang, DM Hanink, Y Liu, R Zhai Landscape and urban planning 177, 114-127, 2018 | 70 | 2018 |
| 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 | 57 | 2020 |
| Detecting horizontal and vertical urban growth from medium resolution imagery and its relationships with major socioeconomic factors W Zhang, W Li, C Zhang, WB Ouimet International journal of remote sensing 38 (12), 3704-3734, 2017 | 55 | 2017 |
| 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 | 25 | 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 | 17 | 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 PubPub, 2020 | 13 | 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 34, 2103-2121, 2019 | 12 | 2019 |
| Crowdsourcing for robust, realtime COVID-19 data W Zhang, R Kim, S Subramanian Nature India 10, 2020 | 8 | 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 12 (5), 566-582, 2019 | 7 | 2019 |
| 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 28 (4), 435-443, 2022 | 2 | 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 |
| Geo-Mapping of COVID-19 Risk Correlates in India: Supplementary Materials SV Subramanian, O Karlsson, W Zhang, R Kim PubPub, 2020 | | 2020 |
