Jian Sha

29 total papers · 665 total citations
26 papers, 522 citations indexed

About

Jian Sha is a scholar working on Water Science and Technology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Jian Sha has authored 26 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Water Science and Technology, 13 papers in Global and Planetary Change and 10 papers in Environmental Engineering. Recurrent topics in Jian Sha's work include Hydrology and Watershed Management Studies (17 papers), Climate variability and models (9 papers) and Hydrological Forecasting Using AI (9 papers). Jian Sha is often cited by papers focused on Hydrology and Watershed Management Studies (17 papers), Climate variability and models (9 papers) and Hydrological Forecasting Using AI (9 papers). Jian Sha collaborates with scholars based in China, United States and Norway. Jian Sha's co-authors include Zhong-Liang Wang, Zhong‐Liang Wang, Xue Li, Xue Li, Xue Li, Yuqiu Wang, Xue Li, Man Zhang, Yue Zhao and Dennis P. Swaney and has published in prestigious journals such as Journal of Hydrology, Journal of Environmental Management and International Journal of Environmental Research and Public Health.

In The Last Decade

Jian Sha

26 papers receiving 513 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jian Sha 346 235 206 78 77 26 522
Chunxue Shang 200 0.6× 200 0.9× 169 0.8× 112 1.4× 31 0.4× 30 521
Y. Jeffrey Yang 301 0.9× 143 0.6× 122 0.6× 54 0.7× 83 1.1× 24 566
Mengistu Geza 349 1.0× 236 1.0× 191 0.9× 91 1.2× 74 1.0× 33 576
Mustafa Al-Mukhtar 304 0.9× 259 1.1× 224 1.1× 21 0.3× 29 0.4× 30 553
Hongwei Guo 306 0.9× 162 0.7× 92 0.4× 36 0.5× 180 2.3× 16 486
Hashim Nisar Hashmi 241 0.7× 135 0.6× 200 1.0× 21 0.3× 62 0.8× 37 510
Jian Dong 110 0.3× 167 0.7× 126 0.6× 50 0.6× 154 2.0× 20 539
Yun‐Sheng Yu 236 0.7× 177 0.8× 226 1.1× 43 0.6× 14 0.2× 19 544
E. Annette Hernandez 227 0.7× 147 0.6× 237 1.2× 24 0.3× 51 0.7× 40 550
Jung Min Ahn 280 0.8× 104 0.4× 75 0.4× 78 1.0× 80 1.0× 41 465

Countries citing papers authored by Jian Sha

Since Specialization
Citations

This map shows the geographic impact of Jian Sha'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 Jian Sha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jian Sha more than expected).

Fields of papers citing papers by Jian Sha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian Sha. 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 Jian Sha. The network helps show where Jian Sha may publish in the future.

Co-authorship network of co-authors of Jian Sha

This figure shows the co-authorship network connecting the top 25 collaborators of Jian Sha. A scholar is included among the top collaborators of Jian Sha 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 Jian Sha. Jian Sha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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