12 citations as recorded by crossref.

1. Evaluating post-processing approaches for monthly and seasonal streamflow forecasts F. Woldemeskel et al.
2. Generating Ensemble Streamflow Forecasts: A Review of Methods and Approaches Over the Past 40 Years M. Troin et al.
3. Hybrid forecasting: blending climate predictions with AI models L. Slater et al.
4. Modeling monthly streamflow in mountainous basin by MARS, GMDH-NN and DENFIS using hydroclimatic data R. Adnan et al.
5. Two-Dimensional Flood Inundation Modeling in the Godavari River Basin, India—Insights on Model Output Uncertainty V. Sharma & S. Regonda
6. Ensemble machine learning paradigms in hydrology: A review M. Zounemat-Kermani et al.
7. Predicting Bulk Average Velocity with Rigid Vegetation in Open Channels Using Tree-Based Machine Learning: A Novel Approach Using Explainable Artificial Intelligence D. Meddage et al.
8. An Evaluation of Model Output Statistics for Subseasonal Streamflow Forecasting in European Catchments S. Schick et al.
9. Random forests-based error-correction of streamflow from a large-scale hydrological model: Using model state variables to estimate error terms Y. Shen et al.
10. Advancing Sub-Seasonal to Seasonal Streamflow Forecasting in Canada: A Review of Conventional and Emerging Approaches for Operational Applications D. Nguyen et al.
11. A Medium and Long-Term Runoff Forecast Method Based on Massive Meteorological Data and Machine Learning Algorithms Y. Li et al.
12. Analysis of statistical post-processing methods for multi-model ensemble runoff forecasts in flood seasons B. Qu et al.