Feng Fu

116 papers receiving 5.2k citations

Feng Fu's Hit Papers

Reputation-based partner choice promotes cooperation in social networks 2008 · 569 citations
5690+6+12Years since publication100200300400500

Peers

Feng Fu
Comparison fields: 5 of 167
  • Safety Research 1.1k
  • Modeling and Simulation 476
  • Statistical and Nonlinear Physics 1.2k
  • Sociology and Political Science 3.8k
  • Genetics 2.0k
Replace Marko Jusup with:
Marko Jusup Japan
Tom Lenaerts Belgium
Francisco C. Santos Portugal
Лей Ши China
Attila Szolnoki Hungary
Steven M. Goodreau United States
Ross Cressman Canada
Lorens A. Imhof Germany
Matthew Salganik United States
Daniel B. Larremore United States
Feng Fu relative to Marko Jusup Japan Marko Jusup's profile →
Citations per field
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Marko Jusup · 1×
Citations per year

Countries citing papers authored by Feng Fu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 128 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Reputation-based partner choice promotes cooperation in social networks
Hit paper breakdown →
2008569
2 2010341
3 2009209
4 2014187
5 2009186
6 2012168
7 2010150
8 2007148
9 2008113
10 2012112
11 2007111
12 2007109
13 2010107
14 2009106
15 2020105
16 201491
17 202291
18 201587
19 200986
20 201185

About Feng Fu

Feng Fu is a scholar working on Sociology and Political Science, Genetics, Public Health, Environmental and Occupational Health, Statistical and Nonlinear Physics and Safety Research, having authored 128 papers that have together received 5.3k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (75 papers), Evolution and Genetic Dynamics (56 papers), Mathematical and Theoretical Epidemiology and Ecology Models (34 papers), Experimental Behavioral Economics Studies (20 papers), Opinion Dynamics and Social Influence (16 papers), COVID-19 epidemiological studies (12 papers), Complex Network Analysis Techniques (10 papers) and Evolutionary Psychology and Human Behavior (9 papers). The work is most often cited by research in Safety Research (1.1k citations), Modeling and Simulation (476 citations), Statistical and Nonlinear Physics (1.2k citations), Sociology and Political Science (3.8k citations) and Genetics (2.0k citations). Feng Fu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Long Wang, Martin A. Nowak, Christoph Hauert, Te Wu, Xiaojie Chen, Daniel I. S. Rosenbloom, Xingru Chen, Nicholas A. Christakis, Lianghuan Liu and Yanling Zhang. Their work appears in journals such as Scientific Reports, PLoS ONE, Physica A Statistical Mechanics and its Applications, New Journal of Physics and Journal of Theoretical Biology.

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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