12 citations as recorded by crossref.

1. Modelling hydrological responses under climate change using machine learning algorithms – semi-arid river basin of peninsular India G. Sireesha Naidu et al. 10.2166/h2oj.2020.034
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5. Modelling water and nutrient fluxes in the Danube River Basin with SWAT A. Malagó et al. 10.1016/j.scitotenv.2017.05.242
6. SWAT use of gridded observations for simulating runoff – a Vietnam river basin study M. Vu et al. 10.5194/hess-16-2801-2012
7. Water source characterization through spatiotemporal patterns of major, minor and trace element stream concentrations in a complex, mesoscale German catchment H. Fröhlich et al. 10.1002/hyp.6804
8. Current concepts in nitrogen dynamics for mesoscale catchments L. BREUER et al. 10.1623/hysj.53.5.1059
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10. Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach S. Klatt et al. 10.1016/j.envsoft.2016.12.002
11. Hydrological Modeling of Tributaries of Cantareira System, Southeast Brazil, with the Swat Model L. Pontes et al. 10.1590/1809-4430-eng.agric.v36n6p1037-1049/2016
12. Integrated environmental modeling for efficient aquifer vulnerability assessment using machine learning W. Jang et al. 10.1016/j.envsoft.2019.104602