59 citations as recorded by crossref.

1. Coastal lagoons as a transitional zone between land and sea: Insight from trace element pollution in southern China H. Xian et al. https://doi.org/10.1016/j.watres.2025.124192
2. Wetland classification based on the synergy of multi-source spatio-temporal spectral data — An example from Kenya M. Hao et al. https://doi.org/10.1016/j.acags.2025.100294
3. A high spatial resolution suitability layers to support feasible power plant site selection in China J. Shen et al. https://doi.org/10.1038/s41597-025-04937-6
4. A dataset of annual surface water extent in the Xijiang River Basin from 1986 to 2023 D. YAO et al. https://doi.org/10.11922/11-6035.csd.2025.0014.zh
5. Effect of Hydro-geomorphological Environments on Surface Water Areas Extraction Y. Jia et al. https://doi.org/10.1007/s11269-025-04212-8
6. An integrated framework for mapping agricultural water impoundments using Sentinel −2 and GEE in Northwest China H. Chen et al. https://doi.org/10.1016/j.jhydrol.2026.135362
7. Quantifying the impact of dam-related barriers on river fragmentation and water quality across China M. He et al. https://doi.org/10.1016/j.jhydrol.2025.134541
8. Can Water-Detection Indices Be Reliable Proxies for Water Discharges in Mid-Sized Braided Rivers Using Coarse-Resolution Landsat Archives? P. Gao et al. https://doi.org/10.3390/rs16010137
9. Improving on mapping long-term surface water with a novel framework based on the Landsat imagery series L. Lan et al. https://doi.org/10.1016/j.jenvman.2024.120202
10. A differentiable, physics-based hydrological model and its evaluation for data-limited basins W. Ouyang et al. https://doi.org/10.1016/j.jhydrol.2024.132471
11. Erosion-induced recovery CO2 sink offset the horizontal soil organic carbon removal at the basin scale L. Wang et al. https://doi.org/10.1007/s11430-023-1275-2
12. Urban wetland landscape patterns and cooling effects in Guilin utilizing GF-1/6 and SDGSAT-1 data Z. Meng et al. https://doi.org/10.1080/17538947.2025.2467985
13. A dataset of urban wetland classification at 2-meter resolution in Guilin City in 2023 Z. MENG et al. https://doi.org/10.11922/11-6035.csd.2024.0097.zh
14. Explainable deep learning identifies patterns and drivers of freshwater harmful algal blooms S. Chen et al. https://doi.org/10.1016/j.ese.2024.100522
15. Evolution of river connectivity in urban areas under the influence of sluices and dams: A case study of Beijing G. Li et al. https://doi.org/10.1016/j.ejrh.2026.103425
16. Revealing distribution patterns of river obstructions in China via deep-learning and satellite imagery M. He et al. https://doi.org/10.1016/j.jhydrol.2025.133299
17. Recognition of small water bodies under complex terrain based on SAR and optical image fusion algorithm S. Yang et al. https://doi.org/10.1016/j.scitotenv.2024.174329
18. Linking Dynamic Habitat Indices to Resident Bird Richness: Evidence from a National-Scale Analysis in China H. Duan et al. https://doi.org/10.3390/rs18030493
19. Deep Learning and Hydrological Feature Constraint Strategies for Dam Detection: Global Application to Sentinel-2 Remote Sensing Imagery H. Gu et al. https://doi.org/10.3390/rs17071194
20. The DLOD&MCCA Framework for Accurate Mapping of Reservoir Dams in Arid Regions from Remote Sensing Imagery: A Multimodal Fusion and Constraint Approach S. Qian et al. https://doi.org/10.3390/rs18091297
21. Spatial heterogeneity and driving mechanism of the response of lake area to drought for lakes in China R. Chen et al. https://doi.org/10.1080/17538947.2025.2551092
22. A high-resolution dataset of water bodies distribution over the Tibetan Plateau Z. Chen et al. https://doi.org/10.1038/s41597-024-03290-4
23. Spatially-informed interpolation for reconstructing lake area time series using semantic neighborhood correlation C. Liu https://doi.org/10.1038/s41598-025-09410-3
24. Basin shift of tropical convection impact on the Western China Autumn Rainfall interannual variability R. Lu et al. https://doi.org/10.1007/s00382-024-07466-x
25. A comprehensive research on open surface drinking water resources in Istanbul using remote sensing technologies A. Dervisoglu et al. https://doi.org/10.1007/s10661-024-12496-3
26. Characterization and mapping of photovoltaic solar power plants by Landsat imagery and random forest: A case study in Gansu Province, China X. Wang et al. https://doi.org/10.1016/j.jclepro.2023.138015
27. Fingerprinting sediment sources of the largest desert reservoir in Asia and its environmental implications G. Chen et al. https://doi.org/10.1016/j.jhydrol.2025.134257
28. Fine-grained wetland classification for national wetland reserves using multi-source remote sensing data and Pixel Information Expert Engine (PIE-Engine) H. Liu et al. https://doi.org/10.1080/15481603.2023.2286746
29. Assessing urban wetlands dynamics in Wuhan and Nanchang, China Y. Deng et al. https://doi.org/10.1016/j.scitotenv.2023.165777
30. Enhancing surface water mapping and monthly dynamics monitoring with a stepwise gap-filling method Z. Liu et al. https://doi.org/10.1080/17538947.2024.2413882
31. Mapping urban wetlands at 10-m resolution using Sentinel-1/2 on GEE: an object-based hierarchical classification framework for International Wetland Cities Z. Ling et al. https://doi.org/10.1080/17538947.2026.2646394
32. A comprehensive high-resolution lake inventory across the highly heterogeneous Tibetan Plateau from 2020 Sentinel-2 imagery using deep learning R. Wang et al. https://doi.org/10.1080/15481603.2026.2620151
33. Exacerbating water shortage induced by continuous expansion of surface artificial water bodies in the Yellow River Basin B. Liu et al. https://doi.org/10.1016/j.jhydrol.2024.130979
34. Identifying wetland restoration gaps and priorities from the perspective of wetland seasonality X. Li & X. Hou https://doi.org/10.1016/j.ecoleng.2025.107835
35. Quantifying natural and anthropogenic impacts on riverine total nitrogen concentration and load in the Yellow River Basin J. Tian et al. https://doi.org/10.1016/j.envpol.2025.126641
36. An evaluation of the hydropower planning alternatives at the upper reaches of Yellow River by considering carbon footprints R. Huang & W. Li https://doi.org/10.1016/j.eiar.2024.107446
37. Reservoir inventory for China in 2016 and 2021 H. Zhang et al. https://doi.org/10.1038/s41597-023-02515-2
38. Reshaping spatial–temporal pattern of suspended sediment concentration in the Yangtze River mainstem by damming reservoirs based on nearly 40 years Landsat observations F. Chen et al. https://doi.org/10.1016/j.isprsjprs.2025.09.023
39. Photovoltaic deployment on suitable marginal land in China enables energy and sustainability co-benefits R. Yang et al. https://doi.org/10.1038/s43247-026-03448-5
40. A Study on the Evolution and Interrelation of China’s Reservoir Resettlement Policies over 75 Years X. Wu et al. https://doi.org/10.3390/w17101444
41. A review of conservation status of freshwater fish diversity in China L. Cao et al. https://doi.org/10.1111/jfb.15606
42. Annual improved maps to understand the complete evolution of 9 thousand lakes on the Tibetan plateau in 1991–2023 Y. Zhou et al. https://doi.org/10.1016/j.isprsjprs.2024.08.012
43. Quantifying the Water Quality Impacts of Cropland Farming in China: A Satellite Data Approach C. Tang et al. https://doi.org/10.1111/ajae.12510
44. GIS-based potential assessment for pumped storage hydropower using existing reservoirs in China J. Jiang et al. https://doi.org/10.1016/j.seta.2025.104366
45. Automated and refined wetland mapping of Dongting Lake using migrated training samples based on temporally dense Sentinel 1/2 imagery Y. Deng et al. https://doi.org/10.1080/17538947.2023.2241428
46. Improved hydropower simulation for China based on a newly developed hydropower database J. Zhou et al. https://doi.org/10.1016/j.jhydrol.2025.133022
47. Monitoring Surface Water Area Changes in the Aral Sea Basin Using the Google Earth Engine Cloud Platform S. Huang et al. https://doi.org/10.3390/w15091729
48. Combining Satellite Images and the Hydraulic Engineering Archive to Map the Processes of Reservoir Construction in Xinjiang S. Li et al. https://doi.org/10.3390/rs16020328
49. Reconstruction of long-term high-resolution lake variability: Algorithm improvement and applications in China L. Feng et al. https://doi.org/10.1016/j.rse.2023.113775
50. A New Classification Rule-Set for Mapping Surface Water in Complex Topographical Regions Using Sentinel-2 Imagery X. Yang & L. Hong https://doi.org/10.3390/w16070943
51. Preliminary analysis on the characteristics of light absorption coefficients in typical rivers of different river basins across China Y. Zhang et al. https://doi.org/10.1364/OE.515555
52. Divergent Trends of Open Surface Water Body Area of River and Lake Dominated Regions in the Yangtze River Basin from 1986 to 2022 Y. Zhao et al. https://doi.org/10.3390/rs17061008
53. The Divergent Changes in Surface Water Area after the South-to-North Water Diversion Project in China T. Guo et al. https://doi.org/10.3390/rs16020378
54. Analyzing surface deformation throughout China's territory using multi-temporal InSAR processing of Sentinel-1 radar data G. Zhang et al. https://doi.org/10.1016/j.rse.2024.114105
55. WAVES: Fine-Grained Water-Type Mapping via Vision-Language Alignment Under Supervision Without Pixel-Level Labels S. Weiyue & S. Haigang https://doi.org/10.1109/TGRS.2026.3674221
56. Dams in the Mekong: a comprehensive database, spatiotemporal distribution, and hydropower potentials W. Ang et al. https://doi.org/10.5194/essd-16-1209-2024
57. Artificial Surface Water Construction Aggregated Water Loss Through Evaporation in the North China Plain Z. Wang et al. https://doi.org/10.3390/rs17152698
58. Exacerbating hydrological extremes in China’s large reservoir drainage areas X. Li et al. https://doi.org/10.1016/j.jhydrol.2025.133297
59. Construction of High Spatiotemporal Continuity Surface Water Bodies Dataset in the Haihe River Basin W. Li et al. https://doi.org/10.3390/w15122155