13 citations as recorded by crossref.

1. Testing machine learning algorithms as post-processing tools for hydro-meteorological modelling over a small river basin C. Xu et al.
2. Risk-informed flood management under climate variability: A hybrid temporal–ensemble artificial intelligence framework M. Melon et al.
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4. Modeling Daily River Discharge Using Machine Learning Ensembles in the Context of Climate Change: Application To the zhaiyk-caspian basin, Kazakhstan S. Alimkulov et al.
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6. Multi-step ahead streamflow forecasting method using Embedding Multi-Layer Perceptron Y. Li & S. Yang
7. Сравнение методов прогнозирования весеннего половодья на примере р. Пур в створе п. Самбург . Волкова
8. A scalable deep learning framework for daily precipitation downscaling: architecture, accuracy, and adaptability X. Liu et al.
9. Exploration on Coupling Machine Learning with Hydrological Model to Enhance Runoff Simulation Y. Zhao et al.
10. A novel adaptive time-scale decomposition fused LSTM-transformer framework (ATSD-LT) for TCWV prediction L. Xu et al.
11. Zero-shot forecasting of streamflow using time series foundation models: are we there yet? A. Sun & A. Sun
12. The Expanded Spatial Lag of Exogenous Model and RShiny-Based Web Application for Rainfall Prediction A. Falah et al.
13. Toward Sustainable Water Resource Management Using a DWT-NARX Model for Reservoir Inflow and Discharge Forecasting in the Chao Phraya River Basin, Thailand T. Aribarg et al.