72 citations as recorded by crossref.

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48. Coupling a Physically Based Hydrological Model with a Modified Transformer for Long-Sequence Runoff and Peak-Flow Prediction Y. Gu et al. 10.3390/su17198618
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51. A review on statistical postprocessing methods for hydrometeorological ensemble forecasting W. Li et al. 10.1002/wat2.1246
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54. Runoff Analysis for a Small Watershed of Tono Area Japan by Back Propagation Artificial Neural Network with Seasonal Data A. Sohail et al. 10.1007/s11269-006-9141-0
55. Evaluation of Maximum a Posteriori Estimation as Data Assimilation Method for Forecasting Infiltration-Inflow Affected Urban Runoff with Radar Rainfall Input J. Pedersen et al. 10.3390/w8090381
56. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al. 10.1177/0309133312444943
57. A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS Q. Nguyen et al. 10.3390/su9050813
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60. Optimal level of wavelet decomposition for daily inflow forecasting P. Freire & C. Santos 10.1007/s12145-020-00496-z
61. Comparison between NARX-NN and HEC-HMS models to simulate Wadi Seghir catchment runoff events in Algerian northern I. Kadri et al. 10.1080/15715124.2021.2016781
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63. Embedding machine learning techniques into a conceptual model to improve monthly runoff simulation: A nested hybrid rainfall-runoff modeling U. Okkan et al. 10.1016/j.jhydrol.2021.126433
64. Improving real-time flood forecasting updating through a complete and non-excessive precipitation adjustment S. Xu et al. 10.1016/j.jhydrol.2024.132538
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67. Convective Oxygen Transport in a Constructed Wetland Pond: Mechanism, Measurements and Modelling by Multilayer Perceptrons B. SCHMID et al. 10.1081/ESE-200055681
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