35 citations as recorded by crossref.

1. Identifying impacts of global climate teleconnection patterns on land water storage using machine learning I. Kalu et al.
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3. A two-stage multiple-point conceptual model to predict river stage-discharge process using machine learning approaches F. Alizadeh et al.
4. CoolVox: Advanced 3D convolutional neural network models for predicting solar radiation on building facades J. Han et al.
5. Data-driven techniques for modelling the gross primary production of the páramo vegetation using climate data: Application in the Ecuadorian Andean region V. Minaya et al.
6. Prediction of Discharge in a Tidal River Using Artificial Neural Networks H. Hidayat et al.
7. The Delft-FEWS flow forecasting system M. Werner et al.
8. Coevolution of machine learning and process‐based modelling to revolutionize Earth and environmental sciences: A perspective S. Razavi et al.
9. Optimizing neural networks for river flow forecasting – Evolutionary Computation methods versus the Levenberg–Marquardt approach A. Piotrowski & J. Napiorkowski
10. Scenario-based prediction of short-term river stage–discharge process using wavelet-EEMD-based relevance vector machine K. Roushangar & F. Alizadeh
11. Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting R. Abrahart et al.
12. Product-Units neural networks for catchment runoff forecasting A. Piotrowski & J. Napiorkowski
13. Deep learning, explained: Fundamentals, explainability, and bridgeability to process-based modelling S. Razavi
14. Incorporating non-uniformity and non-linearity of hydrologic and catchment characteristics in rainfall–runoff modeling using conceptual, data-driven, and hybrid techniques V. Vidyarthi & A. Jain
15. Optimizing signal decomposition techniques in artificial neural network-based rainfall-runoff model F. Karami & A. Dariane
16. Framework for developing hybrid process-driven, artificial neural network and regression models for salinity prediction in river systems J. Hunter et al.
17. Review of hydrological modelling in the Australian Alps: from rainfall-runoff to physically based models N. Harvey et al.
18. Prediction of River Stage-Discharge Process Based on a Conceptual Model Using EEMD-WT-LSSVM Approach . Farhad Alizadeh et al.
19. Hydrology of inland tropical lowlands: the Kapuas and Mahakam wetlands H. Hidayat et al.
20. Integration of Volterra model with artificial neural networks for rainfall-runoff simulation in forested catchment of northern Iran M. H. Kashani et al.
21. Hybrid modelling approach to prairie hydrology: fusing data-driven and process-based hydrological models B. Mekonnen et al.
22. Enhancing Streamflow Prediction Physically Consistently Using Process-Based Modeling and Domain Knowledge: A Review B. Yifru et al.
23. A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network G. Humphrey et al.
24. A systematic review of Muskingum flood routing techniques A. Salvati et al.
25. Machine learning assisted hybrid models can improve streamflow simulation in diverse catchments across the conterminous US G. Konapala et al.
26. Integrated neural networks for monthly river flow estimation in arid inland basin of Northwest China Z. Huo et al.
27. Evaluation of medium-range ensemble flood forecasting based on calibration strategies and ensemble methods in Lanjiang Basin, Southeast China L. Liu et al.
28. Extending the Range of Data-Based Empirical Models Used for Diesel Engine Calibration by Using Physics to Transform Feature Space I. Brahma
29. Fuzzy Conceptual Hydrological Model for Water Flow Prediction M. Turan & M. Yurdusev
30. A hybrid model of self organizing maps and least square support vector machine for river flow forecasting S. Ismail et al.
31. Data-driven modelling approaches for socio-hydrology: opportunities and challenges within the Panta Rhei Science Plan N. Mount et al.
32. Wavelet analyses of neural networks based river discharge decomposition L. Campozano et al.
33. Improving capability of conceptual modeling of watershed rainfall–runoff using hybrid wavelet-extreme learning machine approach K. Roushangar et al.
34. Multi-objective groundwater management strategy under uncertainties for sustainable control of saltwater intrusion: Solution for an island country in the South Pacific A. Lal & B. Datta
35. Including spatial distribution in a data-driven rainfall-runoff model to improve reservoir inflow forecasting in Taiwan M. Tsai et al.