32 citations as recorded by crossref.

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4. Application of Artificial Neural Networks and Particle Swarm Optimization for the Management of Groundwater Resources S. Gaur et al. https://doi.org/10.1007/s11269-012-0226-7
5. Does Flash Flood Model Performance Increase with Complexity? Signature and Sensitivity-Based Comparison of Conceptual and Process-Oriented Models on French Mediterranean Cases A. Haruna et al. https://doi.org/10.3390/hydrology9080141
6. Atmospheric dispersion modeling using Artificial Neural Network based cellular automata P. Lauret et al. https://doi.org/10.1016/j.envsoft.2016.08.001
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10. Uncertainty Estimation in Hydrogeological Forecasting with Neural Networks: Impact of Spatial Distribution of Rainfalls and Random Initialization of the Model N. Akil et al. https://doi.org/10.3390/w13121690
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12. Evolution of Flood Prediction and Forecasting Models for Flood Early Warning Systems: A Scoping Review N. Byaruhanga et al. https://doi.org/10.3390/w16131763
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20. Flash flood modeling using the artificial neural network (Case study: Welang Watershed, Pasuruan District, Indonesia . Suhardi et al. https://doi.org/10.1088/1755-1315/419/1/012123
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29. Improving the forecast precision of river stage spatial and temporal distribution using drain pipeline knowledge coupled with BP artificial neural networks: a case study of Panlong River, Kunming, China Z. Xie et al. https://doi.org/10.1007/s11069-015-1648-3
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