| Surface‐subsurface model intercomparison: A first set of benchmark results to diagnose integrated hydrology and feedbacks RM Maxwell, M Putti, S Meyerhoff, JO Delfs, IM Ferguson, V Ivanov, J Kim, ... Water resources research 50 (2), 1531-1549, 2014 | 309 | 2014 |
| Evaluating controls on coupled hydrologic and vegetation dynamics in a humid continental climate watershed using a subsurface‐land surface processes model C Shen, J Niu, MS Phanikumar Water Resources Research 49 (5), 2552-2572, 2013 | 123 | 2013 |
| Estimating longitudinal dispersion in rivers using Acoustic Doppler Current Profilers C Shen, J Niu, EJ Anderson, MS Phanikumar Advances in Water Resources 33 (6), 615-623, 2010 | 80 | 2010 |
| Simulation of regional groundwater levels in arid regions using interpretable machine learning models Q Liu, D Gui, L Zhang, J Niu, H Dai, G Wei, BX Hu Science of the Total Environment 831, 154902, 2022 | 62 | 2022 |
| Prediction of groundwater level in seashore reclaimed land using wavelet and artificial neural network-based hybrid model J Zhang, X Zhang, J Niu, BX Hu, MR Soltanian, H Qiu, L Yang Journal of Hydrology 577, 123948, 2019 | 61 | 2019 |
| Quantifying Storage Changes in Regional Great Lakes Watersheds Using a Coupled Subsurface - Land Surface Process Model and GRACE, MODIS products J Niu, C Shen, SG Li, SM Phanikumar Water Resources Research 50, 2014 | 59 | 2014 |
| Real-time nowcasting of microbiological water quality at recreational beaches: a wavelet and artificial neural network-based hybrid modeling approach J Zhang, H Qiu, X Li, J Niu, MB Nevers, X Hu, MS Phanikumar Environmental science & technology 52 (15), 8446-8455, 2018 | 56 | 2018 |
| Incorporating root hydraulic redistribution in CLM 4.5: Effects on predicted site and global evapotranspiration, soil moisture, and water storage J Tang, WJ Riley, J Niu Journal of Advances in Modeling Earth Systems 7 (4), 1828-1848, 2015 | 51 | 2015 |
| Modeling watershed-scale solute transport using an integrated, process-based hydrologic model with applications to bacterial fate and transport J Niu, MS Phanikumar Journal of Hydrology 529, 35-48, 2015 | 51 | 2015 |
| A comparative analysis of artificial neural networks and wavelet hybrid approaches to long-term toxic heavy metal prediction P Li, P Hua, D Gui, J Niu, P Pei, J Zhang, P Krebs Scientific reports 10 (1), 13439, 2020 | 45 | 2020 |
| Improving Budyko curve‐based estimates of long‐term water partitioning using hydrologic signatures from GRACE K Fang, C Shen, JB Fisher, J Niu Water Resources Research 52 (7), 5537-5554, 2016 | 34 | 2016 |
| Quantifying the effects of data integration algorithms on the outcomes of a subsurface–land surface processes model C Shen, J Niu, K Fang Environmental Modelling & Software 59, 146-161, 2014 | 34 | 2014 |
| A review of applications of fractional advection–dispersion equations for anomalous solute transport in surface and subsurface water L Sun, H Qiu, C Wu, J Niu, BX Hu Wiley Interdisciplinary Reviews: Water 7 (4), e1448, 2020 | 30 | 2020 |
| Quantifying wetland–aquifer interactions in a humid subtropical climate region: an integrated approach I Mendoza-Sanchez, MS Phanikumar, J Niu, JR Masoner, IM Cozzarelli, ... Journal of Hydrology 498, 237-253, 2013 | 28 | 2013 |
| Comparative analysis of meteorological and hydrological drought over the Pearl River basin in southern China K Xu, G Qin, J Niu, C Wu, BX Hu, G Huang, P Wang Hydrology Research 50 (1), 301-318, 2019 | 26 | 2019 |
| Modeling green roof potential to mitigate urban flooding in a Chinese city L Liu, L Sun, J Niu, WJ Riley Water 12 (8), 2082, 2020 | 24 | 2020 |
| Interannual variation in hydrologic budgets in an Amazonian watershed with a coupled subsurface–land surface process model J Niu, C Shen, JQ Chambers, JM Melack, WJ Riley Journal of Hydrometeorology 18 (9), 2597-2617, 2017 | 23 | 2017 |
| Assessing the spatiotemporal uncertainties in future meteorological droughts from CMIP5 models, emission scenarios, and bias corrections C Wu, PJF Yeh, J Ju, YY Chen, K Xu, H Dai, J Niu, BX Hu, G Huang Journal of Climate 34 (5), 1903-1922, 2021 | 22 | 2021 |
| Interannual and seasonal variations of permafrost thaw depth on the Qinghai-Tibetan plateau: A comparative study using long short-term memory, convolutional neural networks … Q Liu, J Niu, P Lu, F Dong, F Zhou, X Meng, W Xu, S Li, BX Hu Science of The Total Environment 838, 155886, 2022 | 16 | 2022 |
| Quantifying the space–time variability of water balance components in an agricultural basin using a process-based hydrologic model and the Budyko framework H Qiu, J Niu, MS Phanikumar Science of the total environment 676, 176-189, 2019 | 11 | 2019 |
