| BCI: A biophysical composition index for remote sensing of urban environments C Deng, C Wu Remote Sensing of Environment 127, 247-259, 2012 | 352 | 2012 |
| Understanding an urbanizing planet: Strategic directions for remote sensing Z Zhu, Y Zhou, KC Seto, EC Stokes, C Deng, STA Pickett, H Taubenböck Remote Sensing of Environment 228, 164-182, 2019 | 289 | 2019 |
| Examining the impacts of urban biophysical compositions on surface urban heat island: A spectral unmixing and thermal mixing approach C Deng, C Wu Remote Sensing of Environment 131, 262-274, 2013 | 245 | 2013 |
| A spatially adaptive spectral mixture analysis for mapping subpixel urban impervious surface distribution C Deng, C Wu Remote Sensing of Environment 133, 62-70, 2013 | 201 | 2013 |
| Evaluation of machine learning techniques with multiple remote sensing datasets in estimating monthly concentrations of ground-level PM2. 5 Y Xu, HC Ho, MS Wong, C Deng, Y Shi, TC Chan, A Knudby Environmental pollution 242, 1417-1426, 2018 | 147 | 2018 |
| Automated delineation of karst sinkholes from LiDAR-derived digital elevation models Q Wu, C Deng, Z Chen Geomorphology 266, 1-10, 2016 | 126 | 2016 |
| Analysis of sustainable utilization of water resources based on the improved water resources ecological footprint model: A case study of Hubei Province, China H Wang, J Huang, H Zhou, C Deng, C Fang Journal of environmental management 262, 110331, 2020 | 124 | 2020 |
| Real-time human objects tracking for smart surveillance at the edge R Xu, SY Nikouei, Y Chen, A Polunchenko, S Song, C Deng, ... 2018 IEEE International conference on communications (ICC), 1-6, 2018 | 120 | 2018 |
| Continuous subpixel monitoring of urban impervious surface using Landsat time series C Deng, Z Zhu Remote Sensing of Environment 238, 110929, 2020 | 118 | 2020 |
| The use of single-date MODIS imagery for estimating large-scale urban impervious surface fraction with spectral mixture analysis and machine learning techniques C Deng, C Wu ISPRS Journal of Photogrammetry and Remote Sensing 86, 100-110, 2013 | 105 | 2013 |
| The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the US during the COVID-19 pandemic X Huang, Z Li, Y Jiang, X Ye, C Deng, J Zhang, X Li International Journal of Digital Earth 14 (4), 424-442, 2021 | 103 | 2021 |
| Deep fake geography? When geospatial data encounter Artificial Intelligence CD Bo Zhao, Shaozeng Zhang,Chunxue Xu, Yifan Sun Cartography and Geographic Information Science, 2021 | 100 | 2021 |
| Viewing urban decay from the sky: A multi-scale analysis of residential vacancy in a shrinking US city C Deng, J Ma Landscape and Urban Planning 141, 88-99, 2015 | 90 | 2015 |
| Evaluation of AMSR2 soil moisture products over the contiguous United States using in situ data from the International Soil Moisture Network Q Wu, H Liu, L Wang, C Deng International Journal of Applied Earth Observation and Geoinformation, 2015 | 88 | 2015 |
| A semantic and sentiment analysis on online neighborhood reviews for understanding the perceptions of people toward their living environments Y Hu, C Deng, Z Zhou Annals of the American Association of Geographers 109 (4), 1052-1073, 2019 | 69 | 2019 |
| Investigating urban heat island through spatial analysis of New York City streetscapes RR Shaker, Y Altman, C Deng, E Vaz, KW Forsythe Journal of cleaner production 233, 972-992, 2019 | 66 | 2019 |
| Improving the housing-unit method for small-area population estimation using remote-sensing and GIS information C Deng, C Wu, L Wang International Journal of Remote Sensing 31 (21), 5673-5688, 2010 | 56 | 2010 |
| Cloud and cloud shadow detection for Landsat images: The fundamental basis for analyzing Landsat time series Z Zhu, S Qiu, B He, C Deng Remote sensing time series image processing, 3-23, 2018 | 52 | 2018 |
| Estimating very high resolution urban surface temperature using a spectral unmixing and thermal mixing approach C Deng, C Wu International Journal of Applied Earth Observation and Geoinformation 23 …, 2013 | 49 | 2013 |
| Spatially constrained multiple endmember spectral mixture analysis for quantifying subpixel urban impervious surfaces C Wu, C Deng, X Jia IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 28 | 2014 |
Changshan WuProfessor of Geography, University of Wisconsin - MilwaukeeVerified email at uwm.edu
