| Decomposing the influencing factors of industrial carbon emissions in Shanghai using the LMDI method M Zhao, L Tan, W Zhang, M Ji, Y Liu, L Yu Energy 35 (6), 2505-2510, 2010 | 291 | 2010 |
| Effectiveness of subpixel analysis in detecting and quantifying urban imperviousness from Landsat Thematic Mapper imagery M Ji, JR Jensen Geocarto International 14 (4), 33-41, 1999 | 221 | 1999 |
| Predictive modelling of coniferous forest age using statistical and artificial neural network approaches applied to remote sensor data JR Jensen, F Qiu, M Ji International Journal of remote sensing 20 (14), 2805-2822, 1999 | 197 | 1999 |
| Towards reducing taxicab cruising time using spatio-temporal profitability maps JW Powell, Y Huang, F Bastani, M Ji Advances in Spatial and Temporal Databases: 12th International Symposium …, 2011 | 178 | 2011 |
| The drivers of energy intensity in China: A spatial panel data approach L Jiang, H Folmer, M Ji China Economic Review 31, 351-360, 2014 | 143 | 2014 |
| Revisiting cross-province energy intensity convergence in China: A spatial panel analysis L Jiang, H Folmer, M Ji, P Zhou Energy Policy 121, 252-263, 2018 | 95 | 2018 |
| Climate change and its effects on runoff of Kaidu River, Xinjiang, China: a multiple time-scale analysis J Xu, Y Chen, M Ji, F Lu Chinese Geographical Science 18, 331-339, 2008 | 91 | 2008 |
| Deriving rules for trip purpose identification from GPS travel survey data and land use data: A machine learning approach Z Deng, M Ji Traffic and Transportation Studies 2010, 768-777, 2010 | 85 | 2010 |
| Wavelet analysis and nonparametric test for climate change in Tarim River Basin of Xinjiang during 1959–2006 J Xu, Y Chen, W Li, M Ji, S Dong, Y Hong Chinese Geographical Science 19, 306-313, 2009 | 73 | 2009 |
| A comprehensive approach to characterization of the nonlinearity of runoff in the headwaters of the Tarim River, western China J Xu, W Li, M Ji, F Lu, S Dong Hydrological Processes: An International Journal 24 (2), 136-146, 2010 | 68 | 2010 |
| Mining spatiotemporal patterns of urban dwellers from taxi trajectory data F Mao, M Ji, T Liu Frontiers of Earth Science 10, 205-221, 2016 | 65 | 2016 |
| Spatial accuracy of the EPA's environmental hazards databases and their use in environmental equity analyses M Scott, SL Cutter, C Menzel, M Ji, D Wagner Applied Geographic Studies 1 (1), 45-61, 1997 | 57 | 1997 |
| Identifying travel mode from GPS trajectories through fuzzy pattern recognition C Xu, M Ji, W Chen, Z Zhang 2010 Seventh International Conference on Fuzzy Systems and Knowledge …, 2010 | 55 | 2010 |
| T-DBSCAN: A Spatiotemporal Density Clustering for GPS Trajectory Segmentation. W Chen, MH Ji, JM Wang International Journal of Online Engineering 10 (6), 2014 | 48 | 2014 |
| Energy efficiency in the Chinese provinces: a fixed effects stochastic frontier spatial Durbin error panel analysis L Jiang, H Folmer, M Ji, J Tang The Annals of Regional Science 58, 301-319, 2017 | 47 | 2017 |
| Surface urban heat island in Shanghai, China: Examining the relationship between land surface temperature and impervious surface fractions derived from Landsat ETM+ imagery Z Zhang, M Ji, J Shu, Z Deng, Y Wu Int. Arch. Photogramm. Remote Sens. Spat. Inf. Sci 37, 601-606, 2008 | 45 | 2008 |
| Spatiotemporal structure of taxi services in Shanghai: Using exploratory spatial data analysis Z Deng, M Ji 2011 19th International Conference on Geoinformatics, 1-5, 2011 | 44 | 2011 |
| The complex nonlinear systems with fractal as well as chaotic dynamics of annual runoff processes in the three headwaters of the Tarim River J Xu, Y Chen, W Li, M Ji, S Dong Journal of Geographical Sciences 19, 25-35, 2009 | 41 | 2009 |
| Trends in US hazardous materials transportation spills SL Cutter, M Ji The Professional Geographer 49 (3), 318-331, 1997 | 41 | 1997 |
| The vegetation coverage dynamic coupling with climatic factors in Northeast China Transect Q Nie, J Xu, M Ji, L Cao, Y Yang, Y Hong Environmental management 50, 405-417, 2012 | 34 | 2012 |
