21 citations as recorded by crossref.

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3. On the Use of Intelligent Systems for the Modelling of Financial Literacy Parameters H. Tawfik et al. 10.4018/jitr.2009062902
4. Predicting Outflow Hydrographs of Potential Dike Breaches in a Bifurcating River System Using NARX Neural Networks A. Bomers 10.3390/hydrology8020087
5. Prediction of groundwater drawdown using artificial neural networks V. Gholami & H. Sahour 10.1007/s11356-021-18115-9
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8. An efficient flash flood forecasting system for the un-gaged Meghna basin using open source platform Delft-FEWS M. Chowdhury et al. 10.1016/j.envsoft.2022.105614
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12. A Hybrid Framework for Rapidly Locating Transition Zones: A Comparison of Event‐ and Response‐Based Return Water Levels in the Suwannee River FL R. Jane et al. 10.1029/2022WR032481
13. Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data V. Gholami & H. Sahour 10.1007/s00704-021-03817-4
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16. A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands V. Gholami & M. Khaleghi 10.17221/90/2020-JFS
17. Hybrid bio-inspired optimization with artificial neural networks for efficient flood routing in watershed management N. Elshaboury et al. 10.1007/s42108-025-00376-6
18. Historic Flood Reconstruction With the Use of an Artificial Neural Network A. Bomers et al. 10.1029/2019WR025656
19. Machine learning meets individual-based modelling: Self-organising feature maps for the analysis of below-ground competition among plants R. Peters et al. 10.1016/j.ecolmodel.2015.10.014
20. Review of Machine Learning Methods for River Flood Routing L. Li & K. Jun 10.3390/w16020364
21. Regional low‐flow frequency analysis using single and ensemble artificial neural networks T. Ouarda & C. Shu 10.1029/2008WR007196