Jingshan Yu

817 total citations
32 papers, 642 citations indexed

About

Jingshan Yu is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jingshan Yu has authored 32 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Water Science and Technology, 17 papers in Global and Planetary Change and 15 papers in Environmental Engineering. Recurrent topics in Jingshan Yu's work include Hydrology and Watershed Management Studies (15 papers), Flood Risk Assessment and Management (9 papers) and Hydrological Forecasting Using AI (7 papers). Jingshan Yu is often cited by papers focused on Hydrology and Watershed Management Studies (15 papers), Flood Risk Assessment and Management (9 papers) and Hydrological Forecasting Using AI (7 papers). Jingshan Yu collaborates with scholars based in China, Japan and Thailand. Jingshan Yu's co-authors include Guoqiang Wang, Wenchao Sun, Zongxue Xu, Sangam Shrestha, Depeng Zuo, Baolin Xue, Yongshuo H. Fu, Yue Zhao, Lijing Wang and Yuanyuan Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Jingshan Yu

32 papers receiving 630 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jingshan Yu China 14 392 317 170 124 120 32 642
Pascal Viennot France 10 435 1.1× 314 1.0× 172 1.0× 79 0.6× 132 1.1× 16 677
Pavla Pekárová Slovakia 17 487 1.2× 443 1.4× 187 1.1× 114 0.9× 112 0.9× 77 820
Sidong Zeng China 16 527 1.3× 507 1.6× 194 1.1× 97 0.8× 151 1.3× 45 788
René Capell Sweden 15 637 1.6× 431 1.4× 198 1.2× 110 0.9× 169 1.4× 26 776
Ján Pekár Slovakia 13 339 0.9× 328 1.0× 135 0.8× 73 0.6× 91 0.8× 45 582
Xiaoyan Zhai China 13 541 1.4× 394 1.2× 218 1.3× 100 0.8× 133 1.1× 24 752
José-Luis Guerrero Norway 10 416 1.1× 368 1.2× 150 0.9× 128 1.0× 92 0.8× 14 600
Frank Voß Germany 15 615 1.6× 475 1.5× 194 1.1× 111 0.9× 117 1.0× 33 947
Danrong Zhang China 17 392 1.0× 395 1.2× 245 1.4× 111 0.9× 101 0.8× 42 746

Countries citing papers authored by Jingshan Yu

Since Specialization
Citations

This map shows the geographic impact of Jingshan Yu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jingshan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingshan Yu more than expected).

Fields of papers citing papers by Jingshan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jingshan Yu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jingshan Yu. The network helps show where Jingshan Yu may publish in the future.

Co-authorship network of co-authors of Jingshan Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jingshan Yu. A scholar is included among the top collaborators of Jingshan Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingshan Yu. Jingshan Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Li, Xinyu, Kaiwen Wang, Changming Liu, et al.. (2025). Exacerbating hydrological extremes in China’s large reservoir drainage areas. Journal of Hydrology. 659. 133297–133297. 2 indexed citations
2.
3.
Yu, Jingshan, et al.. (2024). What drives the changing characteristics of phytoplankton in urban lakes: Climate, hydrology, or human disturbance?. Journal of Environmental Management. 351. 119966–119966. 5 indexed citations
4.
Zhang, Xuan, et al.. (2022). Nitrogen and Phosphorus Retention Risk Assessment in a Drinking Water Source Area under Anthropogenic Activities. Remote Sensing. 14(9). 2070–2070. 6 indexed citations
5.
Sun, Wenchao, Jingshan Yu, Guoqiang Wang, et al.. (2019). Integrating satellite observations and human water use data to estimate changes in key components of terrestrial water storage in a semi-arid region of North China. The Science of The Total Environment. 698. 134171–134171. 19 indexed citations
6.
Zhang, Lufang, Baolin Xue, Guoqiang Wang, et al.. (2019). Model Uncertainty Analysis Methods for Semi-Arid Watersheds with Different Characteristics: A Comparative SWAT Case Study. Water. 11(6). 1177–1177. 12 indexed citations
7.
Sun, Wenchao, et al.. (2019). Anthropogenic influences on the water quality of the Baiyangdian Lake in North China over the last decade. The Science of The Total Environment. 701. 134929–134929. 120 indexed citations
8.
Sun, Wenchao, Yuanyuan Wang, Yongshuo H. Fu, et al.. (2019). Spatial heterogeneity of changes in vegetation growth and their driving forces based on satellite observations of the Yarlung Zangbo River Basin in the Tibetan Plateau. Journal of Hydrology. 574. 324–332. 81 indexed citations
9.
Sun, Wenchao, Yuanyuan Wang, Guoqiang Wang, et al.. (2017). Physically based distributed hydrological model calibration based on a short period of streamflow data: case studies in four Chinese basins. Hydrology and earth system sciences. 21(1). 251–265. 50 indexed citations
10.
Otsuki, Kyoichi, et al.. (2017). Temporal and Spatial Variations of Vegetation Response to Dynamic Change of Meteorological Factors and Groundwater in the Heihe River Basin, China. Journal of the Faculty of Agriculture Kyushu University. 62(2). 503–511. 1 indexed citations
11.
Wang, Guoqiang, Qingqing Fang, Yanguo Teng, & Jingshan Yu. (2016). Determination of the factors governing soil erodibility using hyperspectral visible and near-infrared reflectance spectroscopy. International Journal of Applied Earth Observation and Geoinformation. 53. 48–63. 30 indexed citations
12.
Yu, Jingshan, et al.. (2016). The impacts of climate change on water resources in the Second Songhua River Basin, China. IOP Conference Series Earth and Environmental Science. 41. 12032–12032. 7 indexed citations
13.
Wang, Guoqiang, et al.. (2014). Evaluation of Gridded Precipitation Data for Driving SWAT Model in Area Upstream of Three Gorges Reservoir. PLoS ONE. 9(11). e112725–e112725. 74 indexed citations
14.
Sun, Wenchao, et al.. (2014). Influences of Climate Change on Water Resources Availability in Jinjiang Basin, China. The Scientific World JOURNAL. 2014. 1–7. 14 indexed citations
15.
16.
Li, Yingxia, et al.. (2010). Parameter determination to calculate water environmental capacity in Zhangweinan Canal Sub-basin in China. Journal of Environmental Sciences. 22(6). 904–907. 31 indexed citations
17.
Wang, Shaowei, et al.. (2010). A Study on Eco-Hydrology Regionalization and Its Application. International Conference on Bioinformatics and Biomedical Engineering. 14. 1–6. 3 indexed citations
18.
Li, Yingxia, et al.. (2010). A waste load allocation method based on unfairness factors and its application in the Zhangweinan Watershed, northern China. Water Science & Technology. 62(1). 58–67. 1 indexed citations
19.
Wang, Guoqiang, Jingshan Yu, Sangam Shrestha, Hiroshi Ishidaira, & Koh Takeuchi. (2009). Application of a distributed erosion model for the assessment of spatial erosion patterns in the Lushi catchment, China. Environmental Earth Sciences. 61(4). 787–797. 10 indexed citations
20.
Chunfa, Jiang, et al.. (1993). The Marine Middle Jurassic Karajigu Formation in Northern Karakorum Mountains, Western China, and its Tectonic Implications.. Journal of Geography (Chigaku Zasshi). 102(7). 836–848. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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