11 citations as recorded by crossref.

1. An auto-adaptive optimization approach for targeting nonpoint source pollution control practices L. Chen et al. https://doi.org/10.1038/srep15393
2. Evaluating the impacts of soil data on hydrological and nonpoint source pollution prediction L. Chen et al. https://doi.org/10.1016/j.scitotenv.2016.04.107
3. New framework for nonpoint source pollution management based on downscaling priority management areas L. Chen et al. https://doi.org/10.1016/j.jhydrol.2022.127433
4. Heavy Metal Contamination Near Industrial Estate Areas in Phra Nakhon Si Ayutthaya Province, Thailand and Human Health Risk Assessment R. Mingkhwan & S. Worakhunpiset https://doi.org/10.3390/ijerph15091890
5. New Modeling Framework for Describing the Pollutant Transport and Removal of Ditch‐Pond System in an Agricultural Catchment C. Sun et al. https://doi.org/10.1029/2021WR031077
6. Identification of multilevel priority management areas for diffuse pollutants based on streamflow continuity in a water-deficient watershed S. Pang et al. https://doi.org/10.1016/j.jclepro.2022.131322
7. A dynamic modeling approach to quantify pollution contributions from priority management areas within watersheds at fine temporal resolution W. Guo et al. https://doi.org/10.1016/j.jenvman.2024.123061
8. Importance of Ssurface water background values for objectively assessing water quality in a unique basin M. Duan et al. https://doi.org/10.1016/j.scitotenv.2020.137922
9. Identifying non-point source priority management areas in watersheds with multiple functional zones Z. Shen et al. https://doi.org/10.1016/j.watres.2014.10.034
10. A preference-based multi-objective model for the optimization of best management practices L. Chen et al. https://doi.org/10.1016/j.jhydrol.2014.11.032
11. Incorporating water quality responses into the framework of best management practices optimization L. Chen et al. https://doi.org/10.1016/j.jhydrol.2016.08.038