Peng Sun

4.4k total citations
108 papers, 3.4k citations indexed

About

Peng Sun is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Peng Sun has authored 108 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 78 papers in Global and Planetary Change, 43 papers in Water Science and Technology and 33 papers in Atmospheric Science. Recurrent topics in Peng Sun's work include Climate variability and models (54 papers), Hydrology and Drought Analysis (41 papers) and Hydrology and Watershed Management Studies (36 papers). Peng Sun is often cited by papers focused on Climate variability and models (54 papers), Hydrology and Drought Analysis (41 papers) and Hydrology and Watershed Management Studies (36 papers). Peng Sun collaborates with scholars based in China, United States and Hong Kong. Peng Sun's co-authors include Qiang Zhang, Vijay P. Singh, Qiang Zhang, Peijun Shi, Jianfeng Li, Vijay P. Singh, Huiqian Yu, Xihui Gu, Jianyu Liu and Chong‐Yu Xu and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Journal of Applied Physics.

In The Last Decade

Peng Sun

103 papers receiving 3.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peng Sun China 40 2.6k 1.1k 840 568 428 108 3.4k
Ahmed El Kenawy Spain 38 3.7k 1.5× 854 0.8× 1.7k 2.0× 555 1.0× 453 1.1× 119 4.8k
René Orth Germany 32 2.6k 1.0× 821 0.7× 1.6k 1.9× 855 1.5× 334 0.8× 79 3.4k
Fernando Domínguez‐Castro Spain 33 2.6k 1.0× 639 0.6× 1.1k 1.3× 317 0.6× 236 0.6× 108 3.3k
Qiaohong Sun China 26 3.0k 1.2× 971 0.9× 2.3k 2.7× 382 0.7× 344 0.8× 45 4.0k
Omid Mazdiyasni United States 20 2.9k 1.1× 768 0.7× 1.0k 1.2× 381 0.7× 231 0.5× 26 3.9k
Tara J. Troy United States 26 1.9k 0.7× 1.6k 1.5× 728 0.9× 484 0.9× 375 0.9× 46 3.3k
Tobias Stacke Germany 20 2.1k 0.8× 1.9k 1.7× 999 1.2× 787 1.4× 289 0.7× 51 3.7k
Fubao Sun China 38 3.5k 1.4× 2.5k 2.2× 1.3k 1.5× 797 1.4× 594 1.4× 127 5.1k
Martin Hanel Czechia 24 2.0k 0.8× 834 0.7× 1.1k 1.3× 337 0.6× 210 0.5× 95 2.8k
Tommaso Caloiero Italy 33 2.5k 1.0× 719 0.6× 1.2k 1.4× 454 0.8× 225 0.5× 122 3.2k

Countries citing papers authored by Peng Sun

Since Specialization
Citations

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

Fields of papers citing papers by Peng Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Sun. A scholar is included among the top collaborators of Peng Sun 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 Peng Sun. Peng Sun 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.
Wei, Yongqiang, et al.. (2025). Data Uncertainty of Flood Susceptibility Using Non-Flood Samples. Remote Sensing. 17(3). 375–375. 4 indexed citations
3.
Bai, Yao, et al.. (2024). Model test study on the formation of basin-shaped freezing range in sandy gravel stratum under seepage conditions. Thermal Science and Engineering Progress. 51. 102601–102601. 6 indexed citations
4.
Sun, Peng, Rui Yao, Yaojin Bian, et al.. (2024). Development of a nonstationary Standardized Precipitation Evapotranspiration Index (NSPEI) and its application across China. Atmospheric Research. 300. 107256–107256. 35 indexed citations
5.
Sun, Peng, et al.. (2024). Are longer and more intense heatwaves more prone to extreme precipitation?. Global and Planetary Change. 236. 104428–104428. 16 indexed citations
6.
Ding, Yibo, et al.. (2024). Assessments of various precipitation product performances and disaster monitoring utilities over the Tibetan Plateau. Scientific Reports. 14(1). 19740–19740. 4 indexed citations
7.
Liu, Chang, et al.. (2024). Insight into cerebral microvessel endothelial regulation of cognitive impairment: A systematic review of the causes and consequences. Experimental Neurology. 385. 115116–115116. 3 indexed citations
8.
Yao, Rui, et al.. (2024). Advancing flood susceptibility modeling using stacking ensemble machine learning: A multi-model approach. Journal of Geographical Sciences. 34(8). 1513–1536. 10 indexed citations
9.
Sun, Peng, Ruilin Liu, Rui Yao, Hao Shen, & Yaojin Bian. (2023). Responses of agricultural drought to meteorological drought under different climatic zones and vegetation types. Journal of Hydrology. 619. 129305–129305. 68 indexed citations
10.
Hua, Jun, et al.. (2022). Distribution Amplitudes of K∗ and φ from Lattice QCD. Proceedings of The 38th International Symposium on Lattice Field Theory — PoS(LATTICE2021). 322–322. 2 indexed citations
11.
Gu, Xihui, Qiang Zhang, Jianfeng Li, et al.. (2020). The changing nature and projection of floods across Australia. Journal of Hydrology. 584. 124703–124703. 24 indexed citations
12.
Zhang, Qiang, et al.. (2019). Reconstruction of high spatial resolution surface air temperature data across China: A new geo-intelligent multisource data-based machine learning technique. The Science of The Total Environment. 665. 300–313. 41 indexed citations
13.
Sun, Peng, et al.. (2019). Variations and regional responses of extreme temperature events in the Huaihe River basin in China during 1961-2014. Acta Scientiarum Naturalium Universitatis Sunyatseni. 58(1). 1. 1 indexed citations
14.
Yu, Huiqian, Qiang Zhang, Chong‐Yu Xu, et al.. (2019). Modified Palmer Drought Severity Index: Model improvement and application. Environment International. 130. 104951–104951. 98 indexed citations
15.
Yang, Xi, Peng Sun, Matthieu Guimberteau, et al.. (2018). Contributions of climate change, CO 2 , land-use change and human activities to changes in river flow across ten Chinese basins. AGU Fall Meeting Abstracts. 2018.
16.
Fan, Keke, Qiang Zhang, Vijay P. Singh, et al.. (2018). Spatiotemporal impact of soil moisture on air temperature across the Tibet Plateau. The Science of The Total Environment. 649. 1338–1348. 41 indexed citations
18.
Liu, Jianyu, Qiang Zhang, Peng Sun, Xihui Gu, & Chaoyang Fang. (2014). Minimum Ecological Water Requirements of the Poyang Lake. Acta Scientiarum Naturalium Universitatis Sunyatseni. 53(4). 149. 2 indexed citations
19.
Sun, Peng. (2012). Spatio-temporal variations of drought-flood abrupt alternation during main flood season in East River Basin. SHILAP Revista de lepidopterología. 8 indexed citations
20.
Hauck, S. A., Peng Sun, Christian Klimczak, et al.. (2012). Tilted Crater Floors: Recording the History of Mercury's Long-Wavelength Deformation. Lunar and Planetary Science Conference. 1850. 4 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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