67 citations as recorded by crossref.

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27. Characterizing anthropogenic disturbance for sustainable hydrological regimes based on Information Theory T. Lan et al. https://doi.org/10.1016/j.jhydrol.2024.132449
28. Quantitative assessment of the relative impacts of climate change and human activity on flood susceptibility based on a cloud model S. Li et al. https://doi.org/10.1016/j.jhydrol.2020.125051
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34. Land use and economic development influenced the hotspots of groundwater storage gains and losses in mainland China in the past 20 years Q. Zhang et al. https://doi.org/10.1016/j.jhydrol.2025.134280
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41. Separating variance in the runoff in Beijing's river system under climate change and human activities S. Jin et al. https://doi.org/10.1016/j.pce.2021.103044
42. Attribution Analysis on Runoff Reduction in the Upper Han River Basin Based on Hydro-Meteorologic and Land Use/Cover Change Data Series X. Wang et al. https://doi.org/10.3390/w17142067
43. Dryness–Wetness Encounter Probabilities’ Analysis for Lake Ecological Water Replenishment Considering Non-Stationarity Effects Y. Xu et al. https://doi.org/10.3389/fenvs.2022.806794
44. Identifying the possible driving mechanisms in Precipitation-Runoff relationships with nonstationary and nonlinear theory approaches T. Li et al. https://doi.org/10.1016/j.jhydrol.2024.131535
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47. Assessment of the Impacts of Rainfall Characteristics and Land Use Pattern on Runoff Accumulation in the Hulu River Basin, China M. Imran et al. https://doi.org/10.3390/w16020239
48. Effects of climate change and anthropogenic activities on runoff change of the Weihe River basin, Northwest China C. Wu et al. https://doi.org/10.1002/rra.4102
49. Partitioning climate and human contributions to changes in mean annual streamflow based on the Budyko complementary relationship in the Loess Plateau, China F. Wang et al. https://doi.org/10.1016/j.scitotenv.2019.01.386
50. Spatio-temporal variations and multi-scale correlations of climate, water, land, and vegetation resources over the past four decades in the Heihe River Basin D. Jiao et al. https://doi.org/10.1016/j.ejrh.2024.101941
51. Quantifying the effects of climate and watershed structure changes on runoff variations in the Tao River basin by using three different methods under the Budyko framework X. Guan et al. https://doi.org/10.1007/s00704-021-03894-5
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54. Quantifying Climate and Residual Non-Climatic Contributions to Runoff Reduction in Major Watersheds of the Chinese Loess Plateau X. Yang et al. https://doi.org/10.3390/w18101191
55. Attribution of Runoff Change for the Xinshui River Catchment on the Loess Plateau of China in a Changing Environment G. Wang et al. https://doi.org/10.3390/w8060267
56. Water scarcity-risk assessment in data-scarce river basins under decadal climate change using a hydrological modelling approach S. Swain et al. https://doi.org/10.1016/j.jhydrol.2020.125260
57. Understanding climate and land surface changes impact on water resources using Budyko framework and remote sensing data in Ethiopia W. Abera et al. https://doi.org/10.1016/j.jaridenv.2019.04.017
58. Quantifying the contribution of climate changes and human activities on runoff changes in the Changhua River Basin of Hainan Island F. Zhang et al. https://doi.org/10.1016/j.ejrh.2025.102474
59. Effect of Land Use and Climate Change on Runoff in the Nahre Azam-Shiraz Basin of Iran A. Mahdavi et al. https://doi.org/10.1007/s40996-025-02014-x
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65. Random Forest Model Has the Potential for Runoff Simulation and Attribution X. Liu et al. https://doi.org/10.3390/w14132053
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