45 citations as recorded by crossref.

1. Influence of nutrient mitigation measures on the fractional export of watershed inputs in an urban watershed W. Gao et al. https://doi.org/10.1007/s11356-020-08411-1
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3. Influence of nitrogen inputs, dam construction and landscape patterns on riverine nitrogen exports in the Yangtze River basin during 1980–2015 M. Hu et al. https://doi.org/10.1016/j.jhydrol.2023.129109
4. Analysis of anthropogenic nitrogen and its influencing factors in Beijing X. Zhang et al. https://doi.org/10.1016/j.jclepro.2019.118780
5. Shallow lake water exchange process before and after water diversion projects as affected by wind field F. Peng et al. https://doi.org/10.1016/j.jhydrol.2020.125785
6. Spatiotemporal Dynamics of Nitrogen Budgets under Anthropogenic Activities in Metropolitan Areas N. Ding et al. https://doi.org/10.3390/su13042006
7. Nutrient inputs from natural and anthropogenic sources to the Guapi-Macacu River Basin (Rio de Janeiro, Brazil): A region under the influence of peri-urban expansion processes V. Vogel et al. https://doi.org/10.1016/j.rsma.2025.104220
8. Denitrification in a meromictic lake and its relevance to nitrogen flows within a moderately impacted forested catchment D. Nizzoli et al. https://doi.org/10.1007/s10533-017-0407-9
9. What maintains seasonal nitrogen limitation in hyper-eutrophic Lake Dianchi? Insights from stoichiometric three-dimensional numerical modeling Z. Wu et al. https://doi.org/10.1007/s00027-020-00744-w
10. Considerations when using nutrient inventories to prioritize water quality improvement efforts across the US R. Sabo et al. https://doi.org/10.1088/2515-7620/abf296
11. Human perturbation on phosphorus cycles in one of China’s most eutrophicated lakes K. Yan et al. https://doi.org/10.1016/j.resenv.2021.100026
12. A multi-task deep neural network reveals inflowing river impacts for predictive lake management H. Yan et al. https://doi.org/10.1016/j.ese.2025.100592
13. Spatial-Temporal Dynamics of Anthropogenic Nitrogen Inputs in the Rapid Developing Chaohu Lake Basin F. Zhang et al. https://doi.org/10.3390/w15030414
14. A multi-spatial scale analysis of anthropogenic nitrogen and phosphorus inputs in a large river basin: environmental effect and policy impact C. Deng et al. https://doi.org/10.1007/s10113-024-02279-4
15. Nitrogen transport and retention in a headwater catchment with dense distributions of lowland ponds W. Zhang et al. https://doi.org/10.1016/j.scitotenv.2019.05.171
16. Decomposing riverine nitrogen and phosphorus fluxes into different frequency classes along the Yangtze River, China W. Gao & Z. Duan https://doi.org/10.1016/j.jes.2025.04.027
17. Riverine nitrogen and phosphorus output in an arid watershed: combined effects of anthropogenic nutrient inputs, land use, and hydrology M. Cao et al. https://doi.org/10.1186/s40068-025-00399-2
18. Modeling forest/agricultural and residential nitrogen budgets and riverine export dynamics in catchments with contrasting anthropogenic impacts in eastern China between 1980–2010 D. Chen et al. https://doi.org/10.1016/j.agee.2016.01.037
19. Dual stable isotopes approach reveals the nitrogen sources, transformations, and effects on phytoplankton community structure in a large floodplain lake X. Ha et al. https://doi.org/10.1186/s13717-025-00579-z
20. Diatoms to human uses: linking nitrogen deposition, aquatic eutrophication, and ecosystem services C. Rhodes et al. https://doi.org/10.1002/ecs2.1858
21. Assessing nitrogen sources in Lake Erhai: A spatially explicit modelling approach X. Li et al. https://doi.org/10.1016/j.agwat.2023.108549
22. Phosphorus mitigation remains critical in water protection: A review and meta-analysis from one of China's most eutrophicated lakes K. Yan et al. https://doi.org/10.1016/j.scitotenv.2019.06.302
23. Declining nitrate-N yields in the Upper Potomac River Basin: What is really driving progress under the Chesapeake Bay restoration? K. Eshleman & R. Sabo https://doi.org/10.1016/j.atmosenv.2016.07.004
24. Effects of different N sources on riverine DIN export and retention in a subtropical high-standing island, Taiwan J. Huang et al. https://doi.org/10.5194/bg-13-1787-2016
25. A Bayesian modeling approach for phosphorus load apportionment in a reservoir with high water transfer disturbance X. Liu et al. https://doi.org/10.1007/s11356-018-3192-7
26. Influence of long-term anthropogenic nitrogen input and its legacy on riverine output M. Cao et al. https://doi.org/10.1038/s41598-025-00261-6
27. Seasonal algal blooms support sediment release of phosphorus via positive feedback in a eutrophic lake: Insights from a nutrient flux tracking modeling R. Zou et al. https://doi.org/10.1016/j.ecolmodel.2019.108881
28. Metabolic fractures: How household livelihood practices differentiate agricultural input use in southwest China J. Zinda & S. Kapoor https://doi.org/10.1016/j.jrurstud.2019.09.008
29. Modeling nutrients in Lake Dianchi (China) and its watershed X. Li et al. https://doi.org/10.1016/j.agwat.2018.08.023
30. Net Anthropogenic Nitrogen Input and Its Relationship with Riverine Nitrogen Flux in a Typical Irrigated Area of China Based on an Improved NANI Budgeting Model T. Yan et al. https://doi.org/10.3390/w15020276
31. Spatiotemporal variation of net anthropogenic phosphorus input and its delayed effect on lake phosphorus in a plateau lake of southwestern China H. Liu et al. https://doi.org/10.1016/j.jhydrol.2026.134969
32. Anthropogenic point-source and non-point-source nitrogen inputs into Huai River basin and their impacts on riverine ammonia–nitrogen flux W. Zhang et al. https://doi.org/10.5194/bg-12-4275-2015
33. Internal positive feedback promotes water quality improvement for a recovering hyper-eutrophic lake: A three-dimensional nutrient flux tracking model N. Ji et al. https://doi.org/10.1016/j.scitotenv.2021.145505
34. A system dynamics model for managing regional N inputs from human activities W. Gao et al. https://doi.org/10.1016/j.ecolmodel.2015.12.001
35. Environmental land use conflicts in catchments: A major cause of amplified nitrate in river water F. Pacheco & L. Sanches Fernandes https://doi.org/10.1016/j.scitotenv.2015.12.155
36. Nitrogen and phosphorus retention budgets of a semiarid plain basin under different human activity intensity X. Zhang et al. https://doi.org/10.1016/j.scitotenv.2019.134813
37. Decadal Changes in Anthropogenic Inputs and Precipitation Influence Riverine Exports of Carbon, Nitrogen, and Phosphorus, and Alter Ecosystem Level Stoichiometry S. Shousha et al. https://doi.org/10.1029/2023GB007820
38. Internal cycling, not external loading, decides the nutrient limitation in eutrophic lake: A dynamic model with temporal Bayesian hierarchical inference Z. Wu et al. https://doi.org/10.1016/j.watres.2017.03.039
39. Temporal-spatial dynamics of anthropogenic nitrogen inputs and hotspots in a large river basin M. Cui et al. https://doi.org/10.1016/j.chemosphere.2020.129411
40. Modelling stream nutrient source and yield by coupling hydrological processes and nutrient budgets from an experimental headwater catchment with orchard expansion in the Changjiang River Delta area P. Zhang et al. https://doi.org/10.1002/hyp.14660
41. Net anthropogenic nitrogen inputs (NANI) into the Yangtze River basin and the relationship with riverine nitrogen export F. Chen et al. https://doi.org/10.1002/2015JG003186
42. Evaluating anthropogenic N inputs to diverse lake basins: A case study of three Chinese lakes W. Gao et al. https://doi.org/10.1007/s13280-015-0638-8
43. Net anthropogenic nitrogen and phosphorus inputs in the Yangtze River economic belt: spatiotemporal dynamics, attribution analysis, and diversity management C. Deng et al. https://doi.org/10.1016/j.jhydrol.2021.126221
44. Spatiotemporal variation of net nitrogen and phosphorus input and its influencing factors in a typical plateau lake: A case study of Lake Xingyun, Yunnan Province B. Jiaojie et al. https://doi.org/10.18307/2024.0424
45. Spatiotemporal Dynamics of Nitrogen Transport in the Qiandao Lake Basin, a Large Hilly Monsoon Basin of Southeastern China D. Chen et al. https://doi.org/10.3390/w12041075