21 citations as recorded by crossref.

1. Genetic programming approach for flood routing in natural channels C. Sivapragasam et al.
2. Application of surrogate artificial intelligent models for real‐time flood routing H. Ghalkhani et al.
3. On the Use of Intelligent Systems for the Modelling of Financial Literacy Parameters H. Tawfik et al.
4. Predicting Outflow Hydrographs of Potential Dike Breaches in a Bifurcating River System Using NARX Neural Networks A. Bomers
5. Prediction of groundwater drawdown using artificial neural networks V. Gholami & H. Sahour
6. Spatial Modeling of Natural Phenomena and Events with Artificial Neural Networks and GIS S. Noack et al.
7. Application of artificial neural network for predicting water levels in Hooghly estuary, India K. Bhar & S. Bakshi
8. An efficient flash flood forecasting system for the un-gaged Meghna basin using open source platform Delft-FEWS M. Chowdhury et al.
9. Flood inference simulation using surrogate modelling for the Yellow River multiple reservoir system M. Castro-Gama et al.
10. Application of the SVR-NSGAII to Hydrograph Routing in Open Channels M. Aboutalebi et al.
11. River flood routing using artificial neural networks A. Tawfik
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.
13. Simulation of rainfall-runoff process using an artificial neural network (ANN) and field plots data V. Gholami & H. Sahour
14. Comparison of parametric and non-parametric estimations of the annual date of positive water temperature onset A. Daigle et al.
15. Comparison of three artificial intelligence techniques for discharge routing R. Khatibi et al.
16. A simulation of the rainfall-runoff process using artificial neural network and HEC-HMS model in forest lands V. Gholami & M. Khaleghi
17. Hybrid bio-inspired optimization with artificial neural networks for efficient flood routing in watershed management N. Elshaboury et al.
18. Historic Flood Reconstruction With the Use of an Artificial Neural Network A. Bomers et al.
19. Machine learning meets individual-based modelling: Self-organising feature maps for the analysis of below-ground competition among plants R. Peters et al.
20. Review of Machine Learning Methods for River Flood Routing L. Li & K. Jun
21. Regional low‐flow frequency analysis using single and ensemble artificial neural networks T. Ouarda & C. Shu