| Analysis of dry/wet conditions using the standardized precipitation index and its potential usefulness for drought/flood monitoring in Hunan Province, China J Du, J Fang, W Xu, P Shi Stochastic Environmental Research and Risk Assessment 27 (2), 377-387, 2013 | 261 | 2013 |
| Evaluation of the TRMM 3B42 and GPM IMERG products for extreme precipitation analysis over China J Fang, W Yang, Y Luan, J Du, A Lin, L Zhao Atmospheric Research 223, 24-38, 2019 | 198 | 2019 |
| Spatial downscaling of TRMM precipitation data based on the orographical effect and meteorological conditions in a mountainous area J Fang, J Du, W Xu, P Shi, M Li, X Ming Advances in Water Resources 61, 42-50, 2013 | 121 | 2013 |
| Assessing disaster impacts and response using social media data in China: A case study of 2016 Wuhan rainstorm J Fang, J Hu, X Shi, L Zhao International Journal of Disaster Risk Reduction 34, 275-282, 2019 | 120 | 2019 |
| Observed changes in hydrological extremes and flood disaster in Yangtze River Basin: spatial–temporal variability and climate change impacts J Fang, F Kong, J Fang, L Zhao Natural Hazards 93 (1), 89-107, 2018 | 56 | 2018 |
| Compound flood potential from storm surge and heavy precipitation in coastal China J Fang, T Wahl, J Fang, X Sun, F Kong, M Liu Hydrology and Earth System Sciences 25 (8), 4403–4416, 2021 | 53 | 2021 |
| Spatial and temporal evolution of community resilience to natural hazards in the coastal areas of China W Qin, A Lin, J Fang, L Wang, M Li Natural hazards 89, 331-349, 2017 | 45 | 2017 |
| Characterizing pollution-intensive industry transfers in China from 2007 to 2016 using land use data J Hu, Y Liu, J Fang, Y Jing, Y Liu, Y Liu Journal of Cleaner Production 223, 424-435, 2019 | 37 | 2019 |
| Vehicle re-identification using distance-based global and partial multi-regional feature learning X Chen, H Sui, J Fang, W Feng, M Zhou IEEE Transactions on Intelligent Transportation Systems 22 (2), 1276-1286, 2020 | 33 | 2020 |
| How do industrial land price and environmental regulations affect spatiotemporal variations of pollution-intensive industries? Regional analysis in China J Hu, J Liang, J Fang, H He, F Chen Journal of Cleaner Production 333, 130035, 2022 | 30 | 2022 |
| 全球变化背景下极端降水时空格局变化及其影响因素研究进展和展望 孔锋， 史培军， 方建， 吕丽莉， 方佳毅， 郭建平 灾害学 32 (2), 165-174, 2017 | 30 | 2017 |
| Advances and prospects of spatiotemporal pattern variation of extreme precipitation and its affecting factors under the background of global climate change F Kong, PJ Shi, J Fang, L Lu, J Fang, J Guo Journal of Catastrophology 32 (2), 165-174, 2017 | 26 | 2017 |
| 全球暴雨洪水灾害风险评估与制图 方建， 李梦婕， 王静爱， 史培军 自然灾害学报 24 (1), 1-8, 2015 | 25 | 2015 |
| 气候变化对洪水灾害影响研究进展 方建， 杜鹃， 徐伟， 史培军， 孔锋 地球科学进展 29 (9), 1085, 2014 | 23 | 2014 |
| Spatiotemporal variation in global floods with different affected areas and the contribution of influencing factors to flood-induced mortality (1985–2019) T Liu, P Shi, J Fang Natural Hazards 111 (3), 2601-2625, 2022 | 18 | 2022 |
| Robust Response of Streamflow Drought to Different Timescales of Meteorological Drought in Xiangjiang River Basin of China L Zhao, J Wu, J Fang Advances in Meteorology, 2015 | 17 | 2015 |
| Mapping flood risk of the world J Fang, M Li, P Shi World Atlas of Natural Disaster Risk, 69-102, 2015 | 13 | 2015 |
| Increasing exposure to floods in China revealed by nighttime light data and flood susceptibility mapping J Fang, C Zhang, J Fang, M Liu, Y Luan Environmental Research Letters 10, 104044, 2021 | 12 | 2021 |
| Landslide-lake outburst floods accelerate downstream slope slippage W Yang, J Fang, J Liu-Zeng Earth Surface Dynamics Discussions 2021, 1-19, 2021 | 11 | 2021 |
| Extreme sea levels along coastal China: uncertainties and implications J Fang, T Wahl, Q Zhang, S Muis, P Hu, J Fang, S Du, T Dou, P Shi Stochastic Environmental Research and Risk Assessment, 1-14, 2021 | 10 | 2021 |
Yang, Wentao杨文涛Beijing Forestry University北京林业大学Verified email at bjfu.edu.cn
