11 citations as recorded by crossref.

1. Water surface profile prediction in compound channels with vegetated floodplains M. Mohseni & A. Naseri 10.1680/jwama.21.00005
2. Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models T. Lees et al. 10.5194/hess-25-5517-2021
3. A Review on Snowmelt Models: Progress and Prospect G. Zhou et al. 10.3390/su132011485
4. A stochastic conceptual-data-driven approach for improved hydrological simulations J. Quilty et al. 10.1016/j.envsoft.2022.105326
5. Development of a Regional Gridded Runoff Dataset Using Long Short-Term Memory (LSTM) Networks G. Ayzel et al. 10.3390/hydrology8010006
6. Data Assimilation for Rainfall-Runoff Prediction Based on Coupled Atmospheric-Hydrologic Systems with Variable Complexity W. Wang et al. 10.3390/rs13040595
7. A workflow to address pitfalls and challenges in applying machine learning models to hydrology A. Gharib & E. Davies 10.1016/j.advwatres.2021.103920
8. A Multilayer Perceptron Model for Stochastic Synthesis E. Rozos et al. 10.3390/hydrology8020067
9. Improving the performance of random forest for estimating monthly reservoir inflow via complete ensemble empirical mode decomposition and wavelet analysis F. Ahmadi et al. 10.1007/s00477-021-02159-x
10. AUGMENTATION OF THE URBAN GREEN INFRASTRUCTURE USING STORMWATER SURFACE RUNOFF AS A RESOURCE IN THE NICE EXPRESSWAY, KARNATAKA, INDIA M. Shreewatsav & V. Sheriff 10.3846/jeelm.2022.16394
11. Genetic programming for hydrological applications: to model or to forecast that is the question H. Herath et al. 10.2166/hydro.2021.179