58 citations as recorded by crossref.

1. Contributions of Anthropogenic Forcings to Evapotranspiration Changes Over 1980–2020 Using GLEAM and CMIP6 Simulations J. Liu et al. https://doi.org/10.1029/2021JD035367
2. Topography regulates the responses of water partitioning to climate and vegetation seasonality X. Zhang & M. Liu https://doi.org/10.1016/j.scitotenv.2022.156028
3. Development of a simple Budyko-based framework for the simulation and attribution of ET variability in dry regions X. Xu et al. https://doi.org/10.1016/j.jhydrol.2022.127955
4. Runoff response to changing environment in Loess Plateau, China: Implications of the influence of climate, land use/land cover, and water withdrawal changes Z. Li et al. https://doi.org/10.1016/j.jhydrol.2022.128458
5. Recent variations in the seasonality difference between precipitation and potential evapotranspiration in China T. Ning et al. https://doi.org/10.1002/joc.7435
6. Attribution of runoff variance in the alpine basin of Northwest China at multiple timescales T. Ning et al. https://doi.org/10.1080/02626667.2022.2140590
7. The coupling impact of climate change on streamflow complexity in the headwater area of the northeastern Tibetan Plateau across multiple timescales S. Shen et al. https://doi.org/10.1016/j.jhydrol.2020.124996
8. Extended growing season reduced river runoff in Luanhe River basin X. Geng et al. https://doi.org/10.1016/j.jhydrol.2019.124538
9. Decline in terrestrial water recharge with increasing global temperatures C. Banerjee et al. https://doi.org/10.1016/j.scitotenv.2020.142913
10. Attribution of streamflow changes across the globe based on the Budyko framework J. Liu et al. https://doi.org/10.1016/j.scitotenv.2021.148662
11. Precipitation changes and its interaction with terrestrial water storage determine water yield variability in the world's water towers T. Ning et al. https://doi.org/10.1016/j.scitotenv.2023.163285
12. Interaction of vegetation, climate and topography on evapotranspiration modelling at different time scales within the Budyko framework T. Ning et al. https://doi.org/10.1016/j.agrformet.2019.05.001
13. Seasonal divergence of evapotranspiration sensitivity to vegetation changes – A proportionality-hypothesis-based analytical solution J. Fu et al. https://doi.org/10.1016/j.jhydrol.2022.129055
14. Increased discharge across the Yellow River Basin in the 21st century was dominated by precipitation in the headwater region X. Fan et al. https://doi.org/10.1016/j.ejrh.2022.101230
15. A more appropriate framework for graphical attribution of hydrological change in the water-energy partitioning space C. Cheng et al. https://doi.org/10.1016/j.ejrh.2025.103048
16. Quantitative attribution of seasonal runoff variations in the Yellow River Basin under unsteady conditions using a modified Budyko framework J. Wang et al. https://doi.org/10.1016/j.jhydrol.2026.135588
17. Evaluating the impact of ecological construction measures on water balance in the Loess Plateau region of China within the Budyko framework K. Yu et al. https://doi.org/10.1016/j.jhydrol.2021.126596
18. Relationship between precipitation, river runoff and evaporation over the European Russia and its variability V. Grigoriev et al. https://doi.org/10.55959/MSU0579-9414.5.79.6.5
19. Estimating the annual runoff frequency distribution based on climatic conditions and catchment characteristics: A case study across China Z. Liu et al. https://doi.org/10.1016/j.iswcr.2022.06.001
20. Assessing Hydrological Response and Resilience of Watersheds as Strategy for Climatic Change Adaptation in Neotropical Region M. Ogasawara et al. https://doi.org/10.3390/su16208910
21. A global quantitation of factors affecting evapotranspiration variability S. Feng et al. https://doi.org/10.1016/j.jhydrol.2020.124688
22. Improved Understanding of How Catchment Properties Control Hydrological Partitioning Through Machine Learning S. Cheng et al. https://doi.org/10.1029/2021WR031412
23. The Roles of Catchment Characteristics in Precipitation Partitioning Within the Budyko Framework J. Liu & Y. You https://doi.org/10.1029/2021JD035168
24. Contribution of changes in vegetation composition and climate variability on streamflow across the global watersheds X. Tan et al. https://doi.org/10.1016/j.catena.2023.107394
25. WITHDRAWN: Development of a simple Budyko-based framework for the simulation and attribution of ET variability in dry regions X. Xu et al. https://doi.org/10.1016/j.hydroa.2022.100128
26. A framework for attributing runoff changes based on a monthly water balance model: An assessment across China Y. He et al. https://doi.org/10.1016/j.jhydrol.2022.128606
27. Exploring Relations of Hydro-Climatic Variables and Water Balance Components (Case Studies of Two Mega Basins, Western Iran) M. Sharif et al. https://doi.org/10.1007/s41742-025-00750-6
28. Altitudinal variation in impacts of snow cover, reservoirs and precipitation seasonality on monthly runoff in Tibetan Plateau catchments N. Wu et al. https://doi.org/10.5194/hess-29-5913-2025
29. Effects of forest cover change on catchment evapotranspiration variation in China T. Ning et al. https://doi.org/10.1002/hyp.13719
30. Divergent determinants on interannual variability of terrestrial water cycle across the globe J. Zhu et al. https://doi.org/10.1016/j.scitotenv.2024.174046
31. Response of global land evapotranspiration to climate change, elevated CO2, and land use change J. Liu et al. https://doi.org/10.1016/j.agrformet.2021.108663
32. Understanding interactions among climate, water, and vegetation with the Budyko framework G. Gan et al. https://doi.org/10.1016/j.earscirev.2020.103451
33. Effect of glaciers on the annual catchment water balance within Budyko framework S. LIU et al. https://doi.org/10.1016/j.accre.2021.10.004
34. An extended time-varying Budyko framework for quantifying the hydrological effect of vegetation restoration under climate variations at watershed scale Y. Zhang et al. https://doi.org/10.1016/j.envres.2024.118730
35. Critical influence of vegetation response to rising CO2 on runoff changes C. Liu et al. https://doi.org/10.1016/j.scitotenv.2023.167717
36. Attribution of growing season evapotranspiration variability considering snowmelt and vegetation changes in the arid alpine basins T. Ning et al. https://doi.org/10.5194/hess-25-3455-2021
37. The water year based on minimizing the terrestrial water storage variation and its validity C. Cheng et al. https://doi.org/10.1016/j.ejrh.2024.102159
38. The changing nature and projection of floods across Australia X. Gu et al. https://doi.org/10.1016/j.jhydrol.2020.124703
39. Predicting Characteristics of the Water Cycle From Scaling Relationships A. Hunt et al. https://doi.org/10.1029/2021WR030808
40. Predicting Streamflow Elasticity Based on Percolation Theory and Ecological Optimality A. Hunt et al. https://doi.org/10.1029/2022AV000867
41. Spatial heterogeneity and multivariate drivers of flood hazard in data-scarce small watersheds N. Yang et al. https://doi.org/10.1016/j.ejrh.2026.103479
42. Major Controls on Streamflow of the Glacierized Urumqi River Basin in the Arid Region of Northwest China M. Saydi et al. https://doi.org/10.3390/w12113062
43. Global Attribution of Runoff Variance Across Multiple Timescales J. Liu et al. https://doi.org/10.1029/2019JD030539
44. Impacts of anthropogenic warming and uneven regional socio-economic development on global river flood risk X. Gu et al. https://doi.org/10.1016/j.jhydrol.2020.125262
45. Evaluation of soil-vegetation interaction effects on water fluxes revealed by the proxy of model parameter combinations T. Lotz et al. https://doi.org/10.1007/s10661-022-10901-3
46. Budyko-based approach for modelling water balance dynamics considering environmental change drivers in the Vistula River basin, Poland T. Senbeta et al. https://doi.org/10.1080/02626667.2023.2187297
47. Impacts of Summer Monsoons on flood characteristics in the Lancang-Mekong River Basin J. Wang et al. https://doi.org/10.1016/j.jhydrol.2021.127256
48. Climate and vegetation seasonality play comparable roles in water partitioning within the Budyko framework M. Liu et al. https://doi.org/10.1016/j.jhydrol.2021.127373
49. A simple framework for estimating the annual runoff frequency distribution under a non-stationarity condition Z. Liu et al. https://doi.org/10.1016/j.jhydrol.2020.125550
50. Recent changes in climate seasonality in the inland river basin of Northwestern China T. Ning et al. https://doi.org/10.1016/j.jhydrol.2020.125212
51. How does land use cover change affect hydrological response in the Atlantic Forest? Implications for ecological restoration B. Lopes et al. https://doi.org/10.3389/frwa.2022.998349
52. Lumped variable representing the integrative effects of climate and underlying surface system: Interpreting Budyko model parameter from earth system science perspective C. Cheng et al. https://doi.org/10.1016/j.jhydrol.2023.129379
53. Improved Regional Scale Dynamic Evapotranspiration Estimation Under Changing Vegetation and Climate K. Giles‐Hansen & X. Wei https://doi.org/10.1029/2021WR029832
54. Modelling and attributing evapotranspiration changes on China’s Loess Plateau with Budyko framework considering vegetation dynamics and climate seasonality T. Ning et al. https://doi.org/10.1007/s00477-020-01813-0
55. Dynamics of Carbon and Water Fluxes over Cropland and Agroforest Ecosystems on the Southern Chinese Loess Plateau X. Han et al. https://doi.org/10.3390/f15050774
56. Connotation analysis of parameters in the generalized nonlinear advection aridity model H. Zhou et al. https://doi.org/10.1016/j.agrformet.2021.108343
57. Seasonal diversity of global flood changes and their drivers X. Gu et al. https://doi.org/10.1016/j.jhydrol.2025.133976
58. Time stability in response of evapotranspiration ratio to variation in climate and watershed surface characteristics M. Bei'er et al. https://doi.org/10.18307/2023.0442