| Comparison of four nonstationary hydrologic design methods for changing environment L Yan, L Xiong, S Guo, CY Xu, J Xia, T Du Journal of Hydrology 551, 132-150, 2017 | 103 | 2017 |
| Frequency analysis of nonstationary annual maximum flood series using the time‐varying two‐component mixture distributions L Yan, L Xiong, D Liu, T Hu, CY Xu Hydrological Processes 31 (1), 69-89, 2017 | 76 | 2017 |
| Multivariate hydrologic design methods under nonstationary conditions and application to engineering practice C Jiang, L Xiong, L Yan, J Dong, CY Xu Hydrology and Earth System Sciences 23 (3), 1683-1704, 2019 | 62 | 2019 |
| Updating intensity–duration–frequency curves for urban infrastructure design under a changing environment L Yan, L Xiong, C Jiang, M Zhang, D Wang, CY Xu Wiley Interdisciplinary Reviews: Water 8 (3), e1519, 2021 | 48 | 2021 |
| Impacts of climate change on urban extreme rainfall and drainage infrastructure performance: a case study in Wuhan City, China L Xiong, L Yan, T Du, P Yan, L Li, W Xu Irrigation and Drainage 68 (2), 152-164, 2019 | 39 | 2019 |
| Reducing uncertainty of design floods of two-component mixture distributions by utilizing flood timescale to classify flood types in seasonally snow covered region L Yan, L Xiong, G Ruan, CY Xu, P Yan, P Liu Journal of Hydrology 574, 588-608, 2019 | 35 | 2019 |
| An adaptive metropolis-hastings optimization algorithm of Bayesian estimation in non-stationary flood frequency analysis W Xu, C Jiang, L Yan, L Li, S Liu Water Resources Management 32, 1343-1366, 2018 | 31 | 2018 |
| Non-stationary flood frequency analysis using cubic B-spline-based GAMLSS model C Qu, J Li, L Yan, P Yan, F Cheng, D Lu Water 12 (7), 1867, 2020 | 18 | 2020 |
| On the applicability of the expected waiting time method in nonstationary flood design L Yan, L Xiong, Q Luan, C Jiang, K Yu, CY Xu Water Resources Management 34, 2585-2601, 2020 | 18 | 2020 |
| Nonstationary flood hazard analysis in response to climate change and population growth L Yan, L Li, P Yan, H He, J Li, D Lu Water 11 (9), 1811, 2019 | 17 | 2019 |
| A River network‐based Hierarchical model for deriving flood frequency distributions and its application to the upper Yangtze basin C Jiang, L Xiong, CY Xu, L Yan Water Resources Research 57 (8), e2020WR029374, 2021 | 15 | 2021 |
| Climate-informed monthly runoff prediction model using machine learning and feature importance analysis L Yan, Q Lei, C Jiang, P Yan, Z Ren, B Liu, Z Liu Frontiers in Environmental Science 10, 1049840, 2022 | 14 | 2022 |
| Design flood estimation with varying record lengths in Norway under stationarity and nonstationarity scenarios L Yan, L Xiong, G Ruan, M Zhang, CY Xu Hydrology Research 52 (6), 1596-1614, 2021 | 14 | 2021 |
| Analysis of storm runoff simulation in typical urban region of Wuhan based on SWMM L Yan, L Xiong, J Wang J. Water Resour. Res 3, 216-228, 2014 | 12 | 2014 |
| Nitrogen and fluorine co-doped graphene hydrogel for high-performance supercapacitors P Yan, L Yan, J Gao, Z Zhang, G Gong, M Hou Ionics 26, 4705-4712, 2020 | 11 | 2020 |
| Comparison of first-order and second-order derived moment approaches in estimating annual runoff distribution Y Kuang, L Xiong, K Yu, P Liu, CY Xu, L Yan Journal of Hydrologic Engineering 23 (8), 04018034, 2018 | 11 | 2018 |
| 变化环境对城市暴雨及排水系统影响研究进展. 熊立华， 闫磊， 李凌琪， 江聪， 杜涛 Advances in Water Science/Shuikexue Jinzhan, 2017 | 11 | 2017 |
| Advances in analysis of impacts of changing environments on extreme urban rainfall and drainage infrastructure L XIONG, L YAN, L LI, C JIANG, T DU Advances in Water Science 28 (6), 930-942, 2017 | 10 | 2017 |
| Fluorine-doped graphene/nanosized carbide-derived carbon composites for high-performance supercapacitor P Yan, L Yan, S Zhao, Z Zuo, X Wang, C Wang, M Hou Nano 14 (08), 1950099, 2019 | 9 | 2019 |
| Hidden Tropical Pacific Sea Surface Temperature States Reveal Global Predictability for Monthly Precipitation for Sub‐Season to Annual Scales M Zhang, JD Rojo‐Hernández, L Yan, ÓJ Mesa, U Lall Geophysical Research Letters 49 (20), e2022GL099572, 2022 | 7 | 2022 |
