| Mapping flood susceptibility in mountainous areas on a national scale in China G Zhao, B Pang, Z Xu, J Yue, T Tu Science of the Total Environment 615, 1133-1142, 2018 | 359 | 2018 |
| Assessment of urban flood susceptibility using semi-supervised machine learning model G Zhao, B Pang, Z Xu, D Peng, L Xu Science of the Total Environment 659, 940-949, 2019 | 246 | 2019 |
| Simulation of spring flows from a karst aquifer with an artificial neural network C Hu, Y Hao, TCJ Yeh, B Pang, Z Wu Hydrological Processes: An International Journal 22 (5), 596-604, 2008 | 120 | 2008 |
| Urban flood susceptibility assessment based on convolutional neural networks G Zhao, B Pang, Z Xu, D Peng, D Zuo Journal of Hydrology 590, 125235, 2020 | 119 | 2020 |
| A reservoir flood forecasting and control system for China/Un système chinois de prévision et de contrôle de crue en barrage S Guo, H Zhang, H Chen, D Peng, P Liu, B Pang Hydrological sciences journal 49 (6), 2004 | 109 | 2004 |
| Statistical downscaling of temperature with the random forest model B Pang, J Yue, G Zhao, Z Xu Advances in Meteorology 2017 (1), 7265178, 2017 | 93 | 2017 |
| Assessment of meteorological and agricultural droughts using in-situ observations and remote sensing data D Zuo, S Cai, Z Xu, D Peng, G Kan, W Sun, B Pang, H Yang Agricultural Water Management 222, 125-138, 2019 | 75 | 2019 |
| Time-lag effects of climatic change and drought on vegetation dynamics in an alpine river basin of the Tibet Plateau, China D Zuo, Y Han, Z Xu, P Li, C Ban, W Sun, B Pang, D Peng, G Kan, R Zhang, ... Journal of Hydrology 600, 126532, 2021 | 74 | 2021 |
| An enhanced inundation method for urban flood hazard mapping at the large catchment scale G Zhao, Z Xu, B Pang, T Tu, L Xu, L Du Journal of Hydrology 571, 873-882, 2019 | 59 | 2019 |
| Improving urban flood susceptibility mapping using transfer learning G Zhao, B Pang, Z Xu, L Cui, J Wang, D Zuo, D Peng Journal of Hydrology 602, 126777, 2021 | 58 | 2021 |
| Changes in feeding habits promoted the differentiation of the composition and function of gut microbiotas between domestic dogs (Canis lupus familiaris) and gray wolves … T Lyu, G Liu, H Zhang, L Wang, S Zhou, H Dou, B Pang, W Sha, H Zhang Amb Express 8, 1-12, 2018 | 56 | 2018 |
| A semi-distributed monthly water balance model and its application in a climate change impact study in the middle and lower Yellow River basin S Guo, H Chen, H Zhang, L Xiong, P Liu, B Pang, G Wang, Y Wang Water international 30 (2), 250-260, 2005 | 42 | 2005 |
| A nonlinear perturbation model based on artificial neural network B Pang, S Guo, L Xiong, C Li Journal of Hydrology 333 (2-4), 504-516, 2007 | 36 | 2007 |
| Assessment of changes in water conservation capacity under land degradation neutrality effects in a typical watershed of Yellow River Basin, China D Zuo, G Chen, G Wang, Z Xu, Y Han, D Peng, B Pang, KC Abbaspour, ... Ecological Indicators 148, 110145, 2023 | 34 | 2023 |
| Dynamic changes of land use/cover and landscape pattern in a typical alpine river basin of the Qinghai‐Tibet Plateau, China P Li, D Zuo, Z Xu, R Zhang, Y Han, W Sun, B Pang, C Ban, G Kan, H Yang Land Degradation & Development 32 (15), 4327-4339, 2021 | 34 | 2021 |
| A hybrid machine learning framework for real-time water level prediction in high sediment load reaches G Zhao, B Pang, Z Xu, L Xu Journal of Hydrology 581, 124422, 2020 | 34 | 2020 |
| Vegetation dynamics in response to climate change and human activities in the Hulun Lake basin from 1981 to 2019 Y Gu, B Pang, X Qiao, D Xu, W Li, Y Yan, H Dou, W Ao, W Wang, C Zou, ... Ecological Indicators 136, 108700, 2022 | 32 | 2022 |
| Flood susceptibility assessment with random sampling strategy in ensemble learning (RF and XGBoost) H Ren, B Pang, P Bai, G Zhao, S Liu, Y Liu, M Li Remote Sensing 16 (2), 320, 2024 | 28 | 2024 |
| Assessment of satellite-derived precipitation products for the Beijing region M Ren, Z Xu, B Pang, W Liu, J Liu, L Du, R Wang Remote Sensing 10 (12), 1914, 2018 | 28 | 2018 |
| Design flood estimation for global river networks based on machine learning models G Zhao, P Bates, J Neal, B Pang Hydrology and Earth System Sciences 25 (11), 5981-5999, 2021 | 24 | 2021 |