Feng Fu

114 papers receiving 5.0k citations

Feng Fu's Hit Papers

Reputation-based partner choice promotes cooperation in social networks 2008 · 559 citations
5590+6+12Years since publication100200300400500

Peers

Feng Fu
Comparison fields: 5 of 167
  • Safety Research 1.1k
  • Modeling and Simulation 470
  • Statistical and Nonlinear Physics 1.2k
  • Sociology and Political Science 3.7k
  • Genetics 2.0k
Replace Tom Lenaerts with:
Tom Lenaerts Belgium
Francisco C. Santos Portugal
Attila Szolnoki Hungary
Лей Ши China
Steven M. Goodreau United States
Ross Cressman Canada
Lorens A. Imhof Germany
Matthew Salganik United States
Rick Riolo United States
Daniel B. Larremore United States
Feng Fu relative to Tom Lenaerts Belgium Tom Lenaerts's profile →
Citations per field
00.5×7.5×
Tom Lenaerts · 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 125 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 →
2008559
2 2010331
3 2009205
4 2014186
5 2009181
6 2012167
7 2007148
8 2010147
9 2008113
10 2007111
11 2012108
12 2007107
13 2010105
14 2009103
15 2020100
16 201486
17 201586
18 201184
19 202284
20 200982

About Feng Fu

Feng Fu is a scholar working on Sociology and Political Science, Genetics, Public Health, Environmental and Occupational Health, Safety Research and Statistical and Nonlinear Physics, having authored 125 papers that have together received 5.1k 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 (21 papers), Opinion Dynamics and Social Influence (16 papers), Complex Network Analysis Techniques (10 papers), COVID-19 epidemiological studies (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 (470 citations), Statistical and Nonlinear Physics (1.2k citations), Sociology and Political Science (3.7k 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 Corina E. Tarnita. Their work appears in journals such as Scientific Reports, Physica A Statistical Mechanics and its Applications, PLoS ONE, 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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