16 citations as recorded by crossref.

1. Product-Units neural networks for catchment runoff forecasting A. Piotrowski & J. Napiorkowski 10.1016/j.advwatres.2012.05.016
2. Surrogate prediction of the breakthrough curve of solute transport in rivers using its reach length dependence B. Kim et al. 10.1016/j.jconhyd.2022.104024
3. Optimizing neural networks for river flow forecasting – Evolutionary Computation methods versus the Levenberg–Marquardt approach A. Piotrowski & J. Napiorkowski 10.1016/j.jhydrol.2011.06.019
4. A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling A. Piotrowski & J. Napiorkowski 10.1016/j.jhydrol.2012.10.019
5. Evaluation of temporal concentration profiles for ungauged rivers following pollution incidents A. Piotrowski et al. 10.1080/02626667.2011.583398
6. Release estimation of pollutants in river by the variational analysis approach J. Pingfei et al. 10.1016/j.jconhyd.2022.103999
7. Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river A. Piotrowski et al. 10.1016/j.cageo.2013.12.013
8. Information‐Based Machine Learning for Tracer Signature Prediction in Karstic Environments B. Mewes et al. 10.1029/2018WR024558
9. Methods used for the development of neural networks for the prediction of water resource variables in river systems: Current status and future directions H. Maier et al. 10.1016/j.envsoft.2010.02.003
10. A novel hybrid neural network based on continuity equation and fuzzy pattern-recognition for downstream daily river discharge forecasting X. Chen et al. 10.2166/hydro.2015.095
11. Ensemble-based release estimation for accidental river pollution with known source position X. Zhang & M. Huang 10.1016/j.jhazmat.2017.03.028
12. Identification Framework of Contaminant Spill in Rivers Using Machine Learning with Breakthrough Curve Analysis S. Kwon et al. 10.3390/ijerph18031023
13. Development, calibration and evaluation of two mathematical models for pollutant transport in a small river E. Ani et al. 10.1016/j.envsoft.2009.03.008
14. Modelling of solute transport in rivers under different flow rates: A case study without transient storage R. Romanowicz et al. 10.2478/s11600-012-0050-8
15. A new semi-Lagrangian routing procedure for constituent transport in steady and unsteady flow velocity fields L. Cimorelli et al. 10.1016/j.jhydrol.2016.04.022
16. Radial basis collocation method with parameters optimized for estimating pollutant release history F. Lei et al. 10.1007/s11356-021-17144-8