| Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis K Shi, Y Chen, B Yu, T Xu, Z Chen, R Liu, L Li, J Wu Applied Energy 168, 523-533, 2016 | 282 | 2016 |
| Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data K Shi, Y Chen, B Yu, T Xu, C Yang, L Li, C Huang, Z Chen, R Liu, J Wu Applied energy 184, 450-463, 2016 | 198 | 2016 |
| A spatial assessment framework for evaluating flood risk under extreme climates Y Chen, R Liu, D Barrett, L Gao, M Zhou, L Renzullo, I Emelyanova Science of the Total Environment 538, 512-523, 2015 | 175 | 2015 |
| Super-resolution mapping of wetland inundation from remote sensing imagery based on integration of back-propagation neural network and genetic algorithm L Li, Y Chen, T Xu, R Liu, K Shi, C Huang Remote Sensing of Environment 164, 142-154, 2015 | 136 | 2015 |
| Urban expansion and agricultural land loss in China: A multiscale perspective K Shi, Y Chen, B Yu, T Xu, L Li, C Huang, R Liu, Z Chen, J Wu Sustainability 8 (8), 790, 2016 | 121 | 2016 |
| Assessing spatial likelihood of flooding hazard using naïve Bayes and GIS: a case study in Bowen Basin, Australia R Liu, Y Chen, J Wu, L Gao, D Barrett, T Xu, L Li, C Huang, J Yu Stochastic environmental research and risk assessment 30, 1575-1590, 2016 | 110 | 2016 |
| Sub-pixel flood inundation mapping from multispectral remotely sensed images based on discrete particle swarm optimization L Li, Y Chen, X Yu, R Liu, C Huang ISPRS Journal of Photogrammetry and Remote Sensing 101, 10-21, 2015 | 90 | 2015 |
| Mapping spatial accessibility of public transportation network in an urban area–A case study of Shanghai Hongqiao Transportation Hub R Liu, Y Chen, J Wu, T Xu, L Gao, X Zhao Transportation research part D: transport and environment 59, 478-495, 2018 | 70 | 2018 |
| Integrating entropy‐based naïve Bayes and GIS for spatial evaluation of flood hazard R Liu, Y Chen, J Wu, L Gao, D Barrett, T Xu, X Li, L Li, C Huang, J Yu Risk analysis 37 (4), 756-773, 2017 | 62 | 2017 |
| Integrating multi-agent evacuation simulation and multi-criteria evaluation for spatial allocation of urban emergency shelters J Yu, C Zhang, J Wen, W Li, R Liu, H Xu International Journal of Geographical Information Science 32 (9), 1884-1910, 2018 | 56 | 2018 |
| An evaluation of Suomi NPP-VIIRS data for surface water detection C Huang, Y Chen, J Wu, L Li, R Liu Remote sensing letters 6 (2), 155-164, 2015 | 53 | 2015 |
| Surface water mapping from Suomi NPP-VIIRS imagery at 30 m resolution via blending with Landsat data C Huang, Y Chen, S Zhang, L Li, K Shi, R Liu Remote Sensing 8 (8), 631, 2016 | 52 | 2016 |
| Managing too little and too much water: Robust mine-water management strategies under variable climate and mine conditions L Gao, BA Bryan, J Liu, W Li, Y Chen, R Liu, D Barrett Journal of cleaner production 162, 1009-1020, 2017 | 51 | 2017 |
| Integration of remotely sensed inundation extent and high-precision topographic data for mapping inundation depth C Huang, Y Chen, J Wu, Z Chen, L Li, R Liu, J Yu 2014 The Third International Conference on Agro-Geoinformatics, 1-4, 2014 | 19 | 2014 |
| A spatial framework for regional-scale flooding risk assessment Y Chen, D Barrett, R Liu, L Gao, M Zhou, L Renzullo, S Cuddy, ... 7th international congress on environmental modelling and software, 15-19, 2014 | 19 | 2014 |
| A Spatial Improved-kNN-Based Flood Inundation Risk Framework for Urban Tourism under Two Rainfall Scenarios S Liu, R Liu*, N Tan Sustainability 13 (5), 2859, 2021 | 18 | 2021 |
| Potential for mine water sharing to reduce unregulated discharge L Gao, C Hou, Y Chen, D Barrett, D Mallants, W Li, R Liu Journal of Cleaner Production 131, 133-144, 2016 | 16 | 2016 |
| Remote sensing of wetland flooding at a sub-pixel scale based on random forests and spatial attraction models L Li, Y Chen, T Xu, K Shi, R Liu, C Huang, B Lu, L Meng Remote Sensing 11 (10), 1231, 2019 | 14 | 2019 |
| Enhanced super-resolution mapping of urban floods based on the fusion of support vector machine and general regression neural network L Li, Y Chen, T Xu, K Shi, C Huang, R Liu, B Lu, L Meng IEEE Geoscience and Remote Sensing Letters 16 (8), 1269-1273, 2019 | 13 | 2019 |
| Integration of Bayesian regulation back-propagation neural network and particle swarm optimization for enhancing sub-pixel mapping of flood inundation in river basins L Li, Y Chen, T Xu, C Huang, R Liu, K Shi Remote sensing letters 7 (7), 631-640, 2016 | 13 | 2016 |
Yun ChenPrincipal Research Scientist, CSIRO, Australiacsiro.au의 이메일 확인됨