Shanshan Wen

1.0k total citations · 1 hit paper
16 papers, 766 citations indexed

About

Shanshan Wen is a scholar working on Global and Planetary Change, Atmospheric Science and Water Science and Technology. According to data from OpenAlex, Shanshan Wen has authored 16 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 9 papers in Atmospheric Science and 6 papers in Water Science and Technology. Recurrent topics in Shanshan Wen's work include Climate variability and models (14 papers), Hydrology and Watershed Management Studies (6 papers) and Tropical and Extratropical Cyclones Research (6 papers). Shanshan Wen is often cited by papers focused on Climate variability and models (14 papers), Hydrology and Watershed Management Studies (6 papers) and Tropical and Extratropical Cyclones Research (6 papers). Shanshan Wen collaborates with scholars based in China, Germany and Poland. Shanshan Wen's co-authors include Buda Su, Yanjun Wang, Jinlong Huang, Tong Jiang, Jianqing Zhai, Sanjit Kumar Mondal, Shan Jiang, Miaoni Gao, Thomas Fischer and Anqian Wang and has published in prestigious journals such as The Science of The Total Environment, Climatic Change and International Journal of Climatology.

In The Last Decade

Shanshan Wen

16 papers receiving 752 citations

Hit Papers

align trajectories

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.

Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China

2020 300 citations Buda Su, Jinlong Huang et al. Atmospheric Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shanshan Wen China	13	618	286	238	116	59	16	766
Xiucang Li China	16	868 1.4×	346 1.2×	324 1.4×	152 1.3×	83 1.4×	26	1.1k
Oskar Landgren Norway	12	449 0.7×	407 1.4×	87 0.4×	61 0.5×	55 0.9×	23	734
Carly R. Tozer Australia	16	571 0.9×	375 1.3×	95 0.4×	59 0.5×	47 0.8×	42	789
Huanhuan Zhu China	7	602 1.0×	385 1.3×	128 0.5×	130 1.1×	39 0.7×	11	714
Andrea J. Ray United States	12	434 0.7×	204 0.7×	176 0.7×	81 0.7×	36 0.6×	29	672
Shankar Sharma Nepal	16	658 1.1×	547 1.9×	152 0.6×	82 0.7×	97 1.6×	56	941
P. Maharana India	16	555 0.9×	471 1.6×	93 0.4×	84 0.7×	68 1.2×	48	710
Daniela Carneiro Rodrigues Brazil	5	438 0.7×	193 0.7×	218 0.9×	68 0.6×	48 0.8×	8	657
Nitesh Khadka China	16	616 1.0×	612 2.1×	153 0.6×	76 0.7×	61 1.0×	40	968
Kanhu Charan Pattnayak India	13	608 1.0×	417 1.5×	112 0.5×	83 0.7×	62 1.1×	33	769

Countries citing papers authored by Shanshan Wen

Since Specialization

Citations

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

Fields of papers citing papers by Shanshan Wen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Wen

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

Fohrer, Nicola, et al.. (2025). Response of discharge in the Upper Yellow River Basin to changing climate over the long time period (1850–2023). Journal of Water and Climate Change. 16(2). 655–674. 1 indexed citations

Wen, Shanshan, Buda Su, Jinlong Huang, et al.. (2024). Attribution of streamflow changes during 1961–2019 in the Upper Yangtze and the Upper Yellow River basins. Climatic Change. 177(4). 9 indexed citations

Wen, Shanshan, et al.. (2023). Assessment of NEX-GDDP-CMIP6 Downscale Data in Simulating Extreme Precipitation over the Huai River Basin. Atmosphere. 14(10). 1497–1497. 14 indexed citations

Mondal, Sanjit Kumar, Hui Tao, Jinlong Huang, et al.. (2021). Projected changes in temperature, precipitation and potential evapotranspiration across Indus River Basin at 1.5–3.0 °C warming levels using CMIP6-GCMs. The Science of The Total Environment. 789. 147867–147867. 50 indexed citations

Mondal, Sanjit Kumar, Jinlong Huang, Yanjun Wang, et al.. (2021). Doubling of the population exposed to drought over South Asia: CMIP6 multi-model-based analysis. The Science of The Total Environment. 771. 145186–145186. 82 indexed citations

Su, Buda, Jinlong Huang, Sanjit Kumar Mondal, et al.. (2020). Insight from CMIP6 SSP-RCP scenarios for future drought characteristics in China. Atmospheric Research. 250. 105375–105375. 300 indexed citations breakdown →

Wen, Shanshan, Buda Su, Yanjun Wang, et al.. (2020). Comprehensive evaluation of hydrological models for climate change impact assessment in the Upper Yangtze River Basin, China. Climatic Change. 163(3). 1207–1226. 49 indexed citations

Wang, Anqian, Yanjun Wang, Buda Su, et al.. (2020). Comparison of Changing Population Exposure to Droughts in River Basins of the Tarim and the Indus. Earth s Future. 8(5). 33 indexed citations

Wang, Hong, et al.. (2019). Tropical cyclone damages in Mainland China over 2005–2016: losses analysis and implications. Environment Development and Sustainability. 21(6). 3077–3092. 31 indexed citations

10.

Wen, Shanshan, Yanjun Wang, Buda Su, et al.. (2018). Estimation of economic losses from tropical cyclones in China at 1.5 °C and 2.0 °C warming using the regional climate model COSMO‐CLM. International Journal of Climatology. 39(2). 724–737. 11 indexed citations

11.

Wen, Shanshan, Anqian Wang, Hui Tao, et al.. (2018). Population exposed to drought under the 1.5 °C and 2.0 °C warming in the Indus River Basin. Atmospheric Research. 218. 296–305. 35 indexed citations

12.

Wen, Shanshan, Buda Su, Yanjun Wang, et al.. (2018). Economic sector loss from influential tropical cyclones and relationship to associated rainfall and wind speed in China. Global and Planetary Change. 169. 224–233. 26 indexed citations

13.

Su, Buda, Xiucang Li, Yanjun Wang, et al.. (2017). Projection of actual evapotranspiration using the COSMO-CLM regional climate model under global warming scenarios of 1.5 °C and 2.0 °C in the Tarim River basin, China. Atmospheric Research. 196. 119–128. 30 indexed citations

14.

Sun, Hemin, Anqian Wang, Jianqing Zhai, et al.. (2017). Impacts of global warming of 1.5 °C and 2.0 °C on precipitation patterns in China by regional climate model (COSMO-CLM). Atmospheric Research. 203. 83–94. 37 indexed citations

15.

Wang, Yanjun, Shanshan Wen, Xiucang Li, et al.. (2016). Spatiotemporal distributions of influential tropical cyclones and associated economic losses in China in 1984–2015. Natural Hazards. 84(3). 2009–2030. 36 indexed citations

16.

Fischer, Thomas, Buda Su, & Shanshan Wen. (2015). Spatio-Temporal Analysis of Economic Losses from Tropical Cyclones in Affected Provinces of China for the Last 30 Years (1984–2013). Natural Hazards Review. 16(4). 22 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