Wenjun Mei

586 citations
26 papers · 313 · h-index 10

Impact in

Papers in

Wenjun Mei

26 papers receiving 303 citations

Peers

Wenjun Mei
Comparison fields: 5 of 57
  • Statistical and Nonlinear Physics 204
  • Modeling and Simulation 74
  • Communication 31
  • Management Science and Operations Research 33
  • Public Health, Environmental and Occupational Health 58
Replace Fulian Yin with:
Fulian Yin China
Nicholas C. Valler United States
Pablo M. Rodríguez Brazil
Mark E. Dickison United States
Raquel A. Baños Spain
Yanyi Nie China
Michele Tizzani Italy
Emanuele Cozzo Spain
Alon Sela Israel
Panpan Shu China
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Citations per field
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Citations per year

Countries citing papers authored by Wenjun Mei

Since Specialization
Citations

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

Fields of papers citing papers by Wenjun Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wenjun Mei, 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 Wenjun Mei Line = papers co-authored together Wenjun Mei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017126
2 202032
3 201920
4 201918
5 201715
6 202213
7 202013
8 201711
9 201410
10 201810
11 20219
12 20229
13 20166
14 20243
15 20243
16 20223
17 20243
18 20231
19
Occam's Razor in Opinion Dynamics: The Weighted-Median Influence Process
20191
20 20251

About Wenjun Mei

Wenjun Mei is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Management Science and Operations Research, Communication and Computer Networks and Communications, having authored 26 papers that have together received 313 indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (18 papers), Complex Network Analysis Techniques (14 papers), Evolutionary Game Theory and Cooperation (8 papers), Social Media and Politics (3 papers), Game Theory and Applications (3 papers), Mathematical and Theoretical Epidemiology and Ecology Models (2 papers), Misinformation and Its Impacts (2 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (204 citations), Modeling and Simulation (74 citations), Communication (31 citations), Management Science and Operations Research (33 citations) and Public Health, Environmental and Occupational Health (58 citations). Wenjun Mei has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Francesco Bullo, Sandro Zampieri, Ge Chen, Noah E. Friedkin, Florian Dörfler, Wei Su, Kyle Lewis, Julien M. Hendrickx, Xiaoming Duan and Martin Buss. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica, Scientific Reports, Mathematics of Control Signals and Systems and Annual Reviews in Control.

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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