Xiaohong Chen

16.8k total citations · 1 hit paper
354 papers, 11.6k citations indexed

About

Xiaohong Chen is a scholar working on Global and Planetary Change, Water Science and Technology and Atmospheric Science. According to data from OpenAlex, Xiaohong Chen has authored 354 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 219 papers in Global and Planetary Change, 166 papers in Water Science and Technology and 71 papers in Atmospheric Science. Recurrent topics in Xiaohong Chen's work include Hydrology and Watershed Management Studies (138 papers), Climate variability and models (99 papers) and Hydrology and Drought Analysis (98 papers). Xiaohong Chen is often cited by papers focused on Hydrology and Watershed Management Studies (138 papers), Climate variability and models (99 papers) and Hydrology and Drought Analysis (98 papers). Xiaohong Chen collaborates with scholars based in China, United States and Norway. Xiaohong Chen's co-authors include Zhaoli Wang, Chengguang Lai, Qiang Zhang, Vijay P. Singh, Kairong Lin, Xushu Wu, Yanhu He, Chong‐Yu Xu, Yanqing Lian and Jiefeng Wu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nature Communications.

In The Last Decade

Xiaohong Chen

337 papers receiving 11.4k citations

Hit Papers

Flood hazard risk assessm... 2015 2026 2018 2022 2015 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Xiaohong Chen 7.4k 4.9k 2.3k 2.0k 829 354 11.6k
Upmanu Lall 8.5k 1.1× 5.2k 1.1× 3.3k 1.4× 2.4k 1.2× 647 0.8× 329 13.6k
Demetris Koutsoyiannis 8.4k 1.1× 5.3k 1.1× 2.8k 1.2× 2.2k 1.1× 501 0.6× 370 12.1k
Richard M. Vogel 7.9k 1.1× 8.1k 1.7× 1.5k 0.7× 2.5k 1.3× 1.6k 1.9× 212 12.3k
Balaji Rajagopalan 9.4k 1.3× 3.6k 0.7× 6.3k 2.7× 1.8k 0.9× 789 1.0× 278 15.3k
Jery R. Stedinger 6.8k 0.9× 6.6k 1.3× 1.2k 0.5× 1.5k 0.8× 991 1.2× 178 11.8k
Richard W. Katz 7.1k 1.0× 1.5k 0.3× 4.1k 1.8× 874 0.4× 447 0.5× 101 9.7k
Daniel S. Wilks 11.7k 1.6× 2.2k 0.4× 9.4k 4.1× 1.9k 0.9× 473 0.6× 108 15.0k
Jun Xia 8.8k 1.2× 7.9k 1.6× 2.6k 1.1× 3.8k 1.9× 1.5k 1.8× 528 15.2k
Robert M. Hirsch 6.2k 0.8× 7.4k 1.5× 2.0k 0.9× 2.3k 1.1× 1.8k 2.1× 97 12.8k
Anthony J. Jakeman 7.4k 1.0× 8.5k 1.7× 1.4k 0.6× 4.4k 2.2× 2.0k 2.4× 319 16.7k

Countries citing papers authored by Xiaohong Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xiaohong Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohong Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohong Chen. A scholar is included among the top collaborators of Xiaohong Chen 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 Xiaohong Chen. Xiaohong Chen 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.
Zhong, Ming, Xueyou Li, Lu Zhuo, et al.. (2025). Identifying Risk Transition Pattern of Compound Flooding Using the Copula Integrated Markov Chain. Water Resources Management. 39(14). 7727–7748.
2.
Fu, Jianyu, Yang Lu, Bingjun Liu, et al.. (2025). Intensifying Hydroclimate Whiplash From a 3D Perspective. Water Resources Research. 61(11).
4.
Dong, Chunyu, Zhimin Ma, Xianwei Wang, et al.. (2024). Monitoring saltwater intrusion to estuaries based on UAV and satellite imagery with machine learning models. Remote Sensing of Environment. 308. 114198–114198. 10 indexed citations
5.
Chen, Xiaohong, et al.. (2024). Information bounds for Gaussian copula parameter in stationary semiparametric Markov models. Statistics & Probability Letters. 216. 110254–110254. 1 indexed citations
6.
Chen, Xiaohong, Shi-Dong Chen, Mary A. Arthur, et al.. (2024). Primary productivity regulates rhizosphere soil organic carbon: Evidence from a chronosequence of subtropical Chinese fir (Cunninghamia lanceolata) plantation. The Science of The Total Environment. 955. 177082–177082. 3 indexed citations
7.
Xie, Yuying, Zhiyong Liu, Ting Yang, et al.. (2024). Vegetation greening accelerated hydrological drought in two-thirds of river basins over China. Journal of Hydrology. 637. 131436–131436. 7 indexed citations
8.
Zhao, Tongtiegang, et al.. (2024). Relating extreme precipitation events to atmospheric conditions and driving variables in China. Climate Dynamics. 62(6). 4925–4942. 5 indexed citations
9.
Zhao, Tongtiegang, et al.. (2023). Evaluation and attribution of trends in compound dry-hot events for major river basins in China. Science China Earth Sciences. 67(1). 79–91. 9 indexed citations
10.
Liu, Meixian, Alexander Y. Sun, Kairong Lin, et al.. (2023). Estimating Dynamic Non‐Water‐Limited Canopy Resistance Over the Globe: Changes, Contributors, and Implications. Water Resources Research. 59(9). 2 indexed citations
11.
Jin, Haoyu, et al.. (2023). Determination of duration, threshold and spatiotemporal distribution of extreme continuous precipitation in nine major river basins in China. Atmospheric Research. 300. 107217–107217. 2 indexed citations
12.
Cai, Xitian, Joshua B. Fisher, Zhenzhong Zeng, et al.. (2023). The responses of ecosystem water use efficiency to CO2, nitrogen deposition, and climatic drivers across China. Journal of Hydrology. 622. 129696–129696. 15 indexed citations
13.
Chen, Tianning, Shuqi Liang, Jiajia Han, et al.. (2023). Advances in the analysis of odorous substances derived from drinking water disinfection. TrAC Trends in Analytical Chemistry. 167. 117224–117224. 5 indexed citations
14.
Wu, Jiefeng, Guoqing Wang, Xiaohong Chen, et al.. (2023). Hydrological drought characterization considering onset, maximum streamflow deficit, and termination. Advances in Water Resources. 184. 104613–104613. 6 indexed citations
15.
Zhong, Ming, Xiao Lu, Yiwen Mei, et al.. (2023). A study on compound flood prediction and inundation simulation under future scenarios in a coastal city. Journal of Hydrology. 628. 130475–130475. 22 indexed citations
17.
Tan, Xuejin, Xuejin Tan, Bingjun Liu, et al.. (2022). Long‐Term Water Imbalances of Watersheds Resulting From Biases in Hydroclimatic Data Sets for Water Budget Analyses. Water Resources Research. 58(3). 19 indexed citations
18.
Zhao, Tongtiegang, Zhiyong Liu, Yu Tian, et al.. (2022). A Two‐Stage Framework for Bias and Reliability Tests of Ensemble Hydroclimatic Forecasts. Water Resources Research. 58(9). 6 indexed citations
19.
Zhao, Tongtiegang, Baoxiang Pan, Lei Ye, et al.. (2021). Correspondence relationship between ENSO teleconnection and anomaly correlation for GCM seasonal precipitation forecasts. Climate Dynamics. 58(3-4). 633–649. 8 indexed citations
20.
Liu, Zhiyong, Lei Chen, Nicholas G. Smith, et al.. (2019). Global divergent responses of primary productivity to water, energy, and CO2. Environmental Research Letters. 14(12). 124044–124044. 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.

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