18 citations as recorded by crossref.

1. Integrated Nitrogen and Flow Modelling (INCA) in a Boreal River Basin Dominated by Forestry: Scenarios of Environmental Change K. Rankinen et al. https://doi.org/10.1023/B:WAFO.0000028352.88480.6a
2. Modelling nitrogen fluxes from the land to the coastal zone in European systems: a perspective from the INCA project A. Wade et al. https://doi.org/10.1016/j.jhydrol.2004.07.041
3. Camp Creek Revisited: Streamflow Changes Following Salvage Harvesting in a Medium-Sized, Snowmelt-Dominated Catchment R. Moore & D. Scott https://doi.org/10.4296/cwrj3004331
4. Modeling the terrestrial N processes in a small mountain catchment through INCA-N: A case study in Taiwan M. Lu et al. https://doi.org/10.1016/j.scitotenv.2017.03.178
5. Almost 50 years of monitoring shows that climate, not forestry, controls long‐term organic carbon fluxes in a large boreal watershed A. Lepistö et al. https://doi.org/10.1111/gcb.12491
6. Current Awareness https://doi.org/10.1002/hyp.5098
7. Integration of climate change and land‐use scenarios in nutrient leaching assessment L. Hallin‐Pihlatie et al. https://doi.org/10.1108/IJCCSM-04-2011-0016
8. Pollutant Spreading in a Small Stream: A Case Study in Mala Nitra Canal in Slovakia Y. Velísková et al. https://doi.org/10.1007/s40710-014-0021-y
9. Modelling and sensitivity analysis of varying roughness effect on dispersion coefficient: a laboratory study I. Tenebe et al. https://doi.org/10.5004/dwt.2017.21298
10. An application of the GLUE methodology for estimating the parameters of the INCA-N model K. Rankinen et al. https://doi.org/10.1016/j.scitotenv.2006.02.034
11. Integrated Nitrogen Modeling in a Boreal Forestry Dominated River Basin: N Fluxes and Retention in Lakes and Peatlands A. Lepistö et al. https://doi.org/10.1023/B:WAFO.0000028349.82505.39
12. Modeling Riverine Nutrient Transport to the Baltic Sea: A Large-scale Approach C. Mörth et al. https://doi.org/10.1579/0044-7447(2007)36[124:MRNTTT]2.0.CO;2
13. Watershed Models: Review of Approaches, Challenges, and Opportunities C. Jiang & Y. Shen https://doi.org/10.1021/acsestwater.3c00259
14. Modelling agro-environmental variables under data availability limitations and scenario managements in an alluvial region of the North China Plain K. Manevski et al. https://doi.org/10.1016/j.envsoft.2018.10.001
15. Modelling inter- and intra-annual variation of riverine nitrogen/nitrate losses from snowmelt-affected basins under agricultural and mixed land use captured with high-frequency monitoring M. Kämäri et al. https://doi.org/10.1016/j.catena.2019.01.019
16. Long-Term Climatic and Anthropogenic Impacts on Streamwater Salinity in New York State: INCA Simulations Offer Cautious Optimism K. Gutchess et al. https://doi.org/10.1021/acs.est.7b04385
17. A comprehensive review of watershed flood simulation model Y. Shen & C. Jiang https://doi.org/10.1007/s11069-023-06047-1
18. Soil erosion and phosphorus losses under variable land use as simulated by the INCA‐P model C. Farkas et al. https://doi.org/10.1111/j.1475-2743.2012.00430.x