Shanshui Yuan

1.8k total citations · 1 hit paper
52 papers, 1.3k citations indexed

About

Shanshui Yuan is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Shanshui Yuan has authored 52 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Global and Planetary Change, 22 papers in Atmospheric Science and 22 papers in Water Science and Technology. Recurrent topics in Shanshui Yuan's work include Climate variability and models (22 papers), Hydrology and Watershed Management Studies (19 papers) and Hydrology and Drought Analysis (19 papers). Shanshui Yuan is often cited by papers focused on Climate variability and models (22 papers), Hydrology and Watershed Management Studies (19 papers) and Hydrology and Drought Analysis (19 papers). Shanshui Yuan collaborates with scholars based in China, United States and Norway. Shanshui Yuan's co-authors include Steven M. Quiring, Sergio M. Vicente‐Serrano, Fernando Domínguez‐Castro, Marina Peña‐Gallardo, Liyan Tian, Liliang Ren, S. S. Jiang, Xiaoli Yang, Yi Liu and Liujun Zhu and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Remote Sensing of Environment.

In The Last Decade

Shanshui Yuan

48 papers receiving 1.3k citations

Hit Papers

A review of environmental... 2019 2026 2021 2023 2019 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A review of environmental droughts: Increased risk under global warming?
    2019 476 citations Steven M. Quiring, Shanshui Yuan et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shanshui Yuan China 17 902 340 296 226 171 52 1.3k
María Cleofé Valverde Brazil 12 659 0.7× 248 0.7× 383 1.3× 280 1.2× 104 0.6× 32 1.2k
Francisco Muñoz‐Arriola United States 17 707 0.8× 519 1.5× 365 1.2× 279 1.2× 61 0.4× 51 1.2k
Sourav Mukherjee United States 16 1.6k 1.7× 345 1.0× 507 1.7× 213 0.9× 375 2.2× 22 2.0k
Guihua Lu China 19 814 0.9× 527 1.6× 278 0.9× 221 1.0× 76 0.4× 41 1.1k
Guojie Wang China 20 1.3k 1.4× 434 1.3× 469 1.6× 362 1.6× 116 0.7× 67 1.8k
Zhiyong Yang China 19 1.1k 1.2× 464 1.4× 359 1.2× 454 2.0× 65 0.4× 58 1.4k
N. V. Umamahesh India 24 1.2k 1.3× 701 2.1× 418 1.4× 282 1.2× 142 0.8× 73 1.6k
Olusola O. Ayantobo China 22 777 0.9× 387 1.1× 227 0.8× 131 0.6× 168 1.0× 48 1.2k
Samuel Jonson Sutanto Netherlands 14 704 0.8× 327 1.0× 180 0.6× 122 0.5× 102 0.6× 43 978

Countries citing papers authored by Shanshui Yuan

Since Specialization
Citations

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

Fields of papers citing papers by Shanshui Yuan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshui Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshui Yuan. A scholar is included among the top collaborators of Shanshui Yuan 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 Shanshui Yuan. Shanshui Yuan 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.
2.
3.
Jin, Junliang, Jianyun Zhang, Shanshui Yuan, et al.. (2025). Coupling coordination degree, interaction relationship and driving mechanism of water resources carrying capacity of Beijing-Tianjin-Hebei urban agglomeration in China. Journal of Cleaner Production. 504. 145433–145433. 6 indexed citations
4.
Fan, Linfeng, Shanshui Yuan, Liujun Zhu, et al.. (2025). Permafrost‒vegetation controls on water availability over the Qinghai‒Tibet Plateau. Advances in Climate Change Research. 16(3). 526–537.
5.
Jiang, S. S., Liliang Ren, Hao Cui, et al.. (2025). Attribution of streamflow and its seasonal variation to dual nature-society drivers using CMIP6 data and hydrological models. Journal of Hydrology. 659. 133314–133314. 1 indexed citations
6.
7.
Zhou, Jun, Chuanhao Wu, Pat J.‐F. Yeh, et al.. (2024). A global attribution analysis of increasing risk of successive runoff-heat extreme events driven by anthropogenic forcing. Journal of Hydrology. 641. 131779–131779. 1 indexed citations
8.
9.
Yuan, Shanshui, et al.. (2023). The patterns, magnitude, and drivers of unprecedented 2022 mega-drought in the Yangtze River Basin, China. Environmental Research Letters. 18(11). 114006–114006. 50 indexed citations
10.
Wu, Fan, Xiaoli Yang, Liliang Ren, et al.. (2023). The impact of human activities on blue-green water resources and quantification of water resource scarcity in the Yangtze River Basin. The Science of The Total Environment. 909. 168550–168550. 46 indexed citations
11.
Zhang, Jianyun, et al.. (2023). Initiatives on exploring the mechanism of eco‐hydrological response to land surface change and adaptive regulation in the Yellow River Basin. SHILAP Revista de lepidopterología. 2(2). 149–157. 5 indexed citations
12.
Zhu, Liujun, Shanshui Yuan, Yi Liu, Cheng Chen, & Jeffrey P. Walker. (2023). Time series soil moisture retrieval from SAR data: Multi-temporal constraints and a global validation. Remote Sensing of Environment. 287. 113466–113466. 18 indexed citations
13.
Wei, Linyong, S. S. Jiang, Liliang Ren, et al.. (2023). An Extended Triple Collocation Method With Maximized Correlation for Near Global‐Land Precipitation Fusion. Geophysical Research Letters. 50(24). 9 indexed citations
14.
15.
Zhao, Chen, et al.. (2020). Developing and evaluating national soil moisture percentile maps. Soil Science Society of America Journal. 84(2). 443–460. 14 indexed citations
16.
Yuan, Shanshui, et al.. (2020). Optimizing climate model selection for hydrological modeling: A case study in the Maumee River basin using the SWAT. Journal of Hydrology. 588. 125064–125064. 20 indexed citations
17.
Yuan, Shanshui, et al.. (2020). A sensitivity study on the response of convection initiation to in situ soil moisture in the central United States. Climate Dynamics. 54(3-4). 2013–2028. 15 indexed citations
18.
Yuan, Shanshui & Steven M. Quiring. (2017). Evaluation of soil moisture in CMIP5 simulations over the contiguous United States using in situ and satellite observations. Hydrology and earth system sciences. 21(4). 2203–2218. 54 indexed citations
19.
Yang, Xiaoli, et al.. (2012). Analysis of trend and influencing factors of runoff variation in headwater basin of West Liaohe River. Journal of Hohai University. 40(1). 37–41. 4 indexed citations
20.
Yuan, Fei, et al.. (2011). Evolution of methodology in hydrology and its explanation. Advances in Water Science. 22(4). 586–592. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by María Cleofé Valverde Breakdown of academic impact, for papers by Francisco Muñoz‐Arriola Breakdown of academic impact, for papers by Sourav Mukherjee Breakdown of academic impact, for papers by Guihua Lu Breakdown of academic impact, for papers by Guojie Wang Breakdown of academic impact, for papers by Zhiyong Yang Breakdown of academic impact, for papers by N. V. Umamahesh Breakdown of academic impact, for papers by Olusola O. Ayantobo Breakdown of academic impact, for papers by Samuel Jonson Sutanto
Rankless by CCL
2026