13 citations as recorded by crossref.

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3. Knowledge-informed deep learning for hydrological model calibration: an application to Coal Creek Watershed in Colorado P. Jiang et al. 10.5194/hess-27-2621-2023
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7. Improving Hydrological Modeling with Hybrid Models: A Comparative Study of Different Mechanisms for Coupling Deep Learning Models with Process-based Models Y. Wei et al. 10.1007/s11269-024-03780-5
8. CatBoost-Based Automatic Classification Study of River Network D. Wang & H. Qian 10.3390/ijgi12100416
9. Optimizing parameter learning and calibration in an integrated hydrological model: Impact of observation length and information P. Jiang et al. 10.1016/j.jhydrol.2024.131889
10. Machine Learning-Based Reconstruction and Prediction of Groundwater Time Series in the Allertal, Germany T. Tran et al. 10.3390/w17030433
11. The importance of explicitly representing the streambed in watershed models P. Shuai et al. 10.1002/hyp.15043
12. Scalable deep learning for watershed model calibration M. Mudunuru et al. 10.3389/feart.2022.1026479
13. Using Mutual Information for Global Sensitivity Analysis on Watershed Modeling P. Jiang et al. 10.1029/2022WR032932