| How urban agglomeration improve the emission efficiency? A spatial econometric analysis of the Yangtze River Delta urban agglomeration in China X Yu, Z Wu, H Zheng, M Li, T Tan Journal of environmental management 260, 110061, 2020 | 173 | 2020 |
| Machine learning approaches for forest classification and change analysis using multi-temporal Landsat TM images over Huntington Wildlife Forest M Li, J Im, C Beier GIScience & Remote Sensing 50 (4), 361-384, 2013 | 150 | 2013 |
| Forest biomass and carbon stock quantification using airborne LiDAR data: A case study over Huntington Wildlife Forest in the Adirondack Park M Li, J Im, LJ Quackenbush, T Liu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2014 | 86 | 2014 |
| Optimum Scale in Object‐Based Image Analysis J Im, LJ Quackenbush, M Li, F Fang Scale issues in remote sensing, 197-214, 2014 | 28 | 2014 |
| Genetic algorithm-based method for forest type classification using multi-temporal NDVI from Landsat TM imagery H Tao, M Li, M Wang, G Lü Annals of GIS 25 (1), 33-43, 2019 | 19 | 2019 |
| Heterogeneity of decoupling between economic development and carbon emissions in China's Green Industrial Parks X Yu, M Li, W Kang Earth's Future, e2022EF002753, 2022 | 11 | 2022 |
| Synthesis Report 2022 on China's Carbon Neutrality: Electrification in China’s Carbon Neutrality Pathways S Yu, S Fu, J Behrendt, Q Chai, L Chen, W Chen, X Cheng, L Clarke, ... Energy Foundation China, 2022 | 5 | 2022 |
| GeoDenStream: An improved DenStream clustering method for managing entity data within geographical data streams M Li, A Croitoru, S Yue Computers & Geosciences 144, 104563, 2020 | 5 | 2020 |
| A framework for social media information flow analytics in cyberspace and physical space M Li, X He, Z Sun, Y Wen Transactions in GIS 26 (3), 1485-1508, 2022 | | 2022 |
Jungho ImUlsan National Institute of Science and TechnologyDirección de correo verificada de unist.ac.kr
