8 citations as recorded by crossref.

1. Enhancing Multi-Step Ahead Daily Runoff Prediction via HydMoE Model with Local-Global Hybrid Attention P. Yang & D. Chen
2. Explaining spatial variation and catchment characteristics thresholds in streamflow response A. Amorim Brandão et al.
3. Prediction of monthly precipitation and maximum 24 h precipitation using Random Forest, Decision Tree and XGBoost models M. Kashefi et al.
4. Multi-scale machine learning model for long-term blue and green water consumption scenarios for crop production Z. Li et al.
5. Localized Browning in Thermokarst-Dominated Landscapes Reverses Regional Greening Trends Under a Warming Climate in Northeastern Siberia R. Wang et al.
6. Fusing dynamic physical constraints with PINN-xLSTM to enhance accuracy and physical consistency in runoff prediction under extreme hydrological events Y. Yang et al.
7. Machine learning generated streamflow drought forecasts for the conterminous United States (CONUS): developing and evaluating an operational tool to enhance sub-seasonal to seasonal streamflow drought early warning for gaged locations J. Hammond et al.
8. A physically guided and interpretable SWAT-BiLSTM framework with Bayesian optimization for bias correction in daily streamflow forecasting L. Jin et al.