22 citations as recorded by crossref.

1. A framework for seasonal variations of hydrological model parameters: impact on model results and response to dynamic catchment characteristics T. Lan et al. 10.5194/hess-24-5859-2020
2. A Comparative Study of a Two-Dimensional Slope Hydrodynamic Model (TDSHM), Long Short-Term Memory (LSTM), and Convolutional Neural Network (CNN) Models for Runoff Prediction Y. Zhou et al. 10.3390/w17091380
3. Simulating runoff under changing climatic conditions: A comparison of the long short-term memory network with two conceptual hydrologic models P. Bai et al. 10.1016/j.jhydrol.2020.125779
4. Lack of robustness of hydrological models: a large-sample diagnosis and an attempt to identify hydrological and climatic drivers L. Santos et al. 10.5194/hess-29-683-2025
5. Exploring controls on precipitation-runoff dependencies: Implications for non-stationary and spatially heterogeneous analyses T. Lan et al. 10.1016/j.jhydrol.2025.133333
6. Parameter optimization method of hydrological model based on neural ordinary differential equations Q. Xiangzhao et al. 10.18307/2025.0342
7. To bucket or not to bucket? Analyzing the performance and interpretability of hybrid hydrological models with dynamic parameterization E. Acuña Espinoza et al. 10.5194/hess-28-2705-2024
8. Dissolved organic carbon response to hydrological drought characteristics: Based on long-term measurements of headwater streams J. Wu et al. 10.1016/j.watres.2022.118252
9. Identification of time-varying parameters of a monthly Budyko function in US MOPEX catchments and its implications W. Liu et al. 10.1016/j.ejrh.2025.102348
10. Multi-Spatial Resolution Rainfall-Runoff Modelling—A Case Study of Sabari River Basin, India V. Sharma & S. Regonda 10.3390/w13091224
11. Spatial modeling for detection of water retention capacity in technosols developed on carboniferous spoil heap after hard coal mining P. Singh et al. 10.1016/j.ecoinf.2024.102751
12. Improving the hydrological consistency of a process-based solute-transport model by simultaneous calibration of streamflow and stream concentrations J. Salmon-Monviola et al. 10.5194/hess-29-127-2025
13. An Adaptive Process-Wise Fitting Approach for Hydrological Modeling Based on Streamflow and Remote Sensing Evapotranspiration C. Wang et al. 10.3390/w16233446
14. Streamflow prediction in ungauged basins: How dissimilar are drainage basins? P. Istalkar & B. Biswal 10.1016/j.jhydrol.2024.131357
15. A time-varying parameter estimation approach using split-sample calibration based on dynamic programming X. Zhang & P. Liu 10.5194/hess-25-711-2021
16. Predicting Ice Phenomena in a River Using the Artificial Neural Network and Extreme Gradient Boosting R. Graf et al. 10.3390/resources11020012
17. Simulating Runoff and Actual Evapotranspiration via Time-Variant Parameter Method: The Effects of Hydrological Model Structures Z. Pan et al. 10.1061/(ASCE)HE.1943-5584.0002220
18. Hydrological balance and runoff from a montane peat bog traced by water temperature K. Falatkova et al. 10.1080/02626667.2024.2320392
19. Identification of dynamic drought propagation from a nonstationary perspective and its application to drought warnings T. Zhang et al. 10.1016/j.jhydrol.2023.130372
20. Faster increase in evapotranspiration in permafrost-dominated basins in the warming Pan-Arctic Q. Huang et al. 10.1016/j.jhydrol.2022.128678
21. Increasing parameter identifiability through clustered time-varying sensitivity analysis L. Wang et al. 10.1016/j.envsoft.2024.106189
22. Enhancing representation of data-scarce reservoir-regulated river basins using a hybrid DL-process based approach L. Deng et al. 10.1016/j.jhydrol.2025.132895