Xingru Chen

50 papers receiving 575 citations

Peers

Xingru Chen
Comparison fields: 5 of 138
  • Modeling and Simulation 63
  • Safety Research 41
  • Applied Microbiology and Biotechnology 8
  • Statistical and Nonlinear Physics 53
  • Public Health, Environmental and Occupational Health 86
Replace Ning Zang with:
Ning Zang China
Zoltán Varga Hungary
Kankoé Sallah France
Martin Müller Germany
Juan Zhang China
Rafiqul Islam Bangladesh
Limin Zhang China
Alessandra Micheletti Italy
Bashar Ibrahim Germany
Xingru Chen relative to Ning Zang China Ning Zang's profile →
Citations per field
00.5×10×20×26.5×
Ning Zang · 1×
Citations per year

Countries citing papers authored by Xingru Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xingru Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xingru Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xingru Chen Line = papers co-authored together Xingru Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201985
2 201840
3 201634
4 201929
5 202328
6 201725
7 201724
8 202322
9 202418
10 202118
11 202318
12 201716
13 202015
14 202214
15 201914
16 202413
17 201813
18 201913
19 202311
20 202110

About Xingru Chen

Xingru Chen is a scholar working on Molecular Biology, Sociology and Political Science, Ecology, Plant Science and Safety Research, having authored 58 papers that have together received 581 indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (7 papers), Evolution and Genetic Dynamics (5 papers), Experimental Behavioral Economics Studies (4 papers), Fish Ecology and Management Studies (4 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (4 papers), Flood Risk Assessment and Management (3 papers), COVID-19 epidemiological studies (3 papers) and Hydrology and Watershed Management Studies (3 papers). The work is most often cited by research in Modeling and Simulation (63 citations), Safety Research (41 citations), Applied Microbiology and Biotechnology (8 citations), Statistical and Nonlinear Physics (53 citations) and Public Health, Environmental and Occupational Health (86 citations). Xingru Chen has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Feng Fu, Long Wang, Wenqiang Cui, Xiaoxu Xing, Wenya Ding, Xiuying Wang, Yonghui Zhou, Sijun Liu, Xin Liu and Xueying Chen. Their work appears in journals such as Frontiers in Pharmacology, New Journal of Physics, Advances in Difference Equations, BMC Plant Biology and RSC Advances.

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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