Te Wu

1.7k citations
56 papers · 1.4k · h-index 22

Impact in

Papers in

Te Wu

55 papers receiving 1.4k citations

Peers

Te Wu
Comparison fields: 5 of 65
  • Safety Research 574
  • Sociology and Political Science 1.4k
  • Genetics 711
  • Experimental and Cognitive Psychology 317
  • Statistical and Nonlinear Physics 287
Replace Marta D. Santos with:
Marta D. Santos Portugal
Hannelore Brandt Austria
Jeromos Vukov Hungary
Matthijs van Veelen Netherlands
Hannelore De Silva Austria
Linjie Liu China
Julián García Australia
Alex McAvoy United States
Danyang Jia China
Jinming Du China
Te Wu relative to Marta D. Santos Portugal Marta D. Santos's profile →
Citations per field
00.5×1.7×
Marta D. Santos · 1×
Citations per year

Countries citing papers authored by Te Wu

Since Specialization
Citations

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

Fields of papers citing papers by Te Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009181
2 2009103
3 201593
4 201265
5 200960
6 200949
7 201346
8 201446
9 201045
10 201841
11 201140
12 201140
13 201039
14 201338
15 201335
16 201532
17 201128
18 201428
19 201324
20 201322

About Te Wu

Te Wu 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 56 papers that have together received 1.4k indexed citations. Recurring topics across this work include Evolutionary Game Theory and Cooperation (55 papers), Evolution and Genetic Dynamics (36 papers), Mathematical and Theoretical Epidemiology and Ecology Models (26 papers), Experimental Behavioral Economics Studies (17 papers), Opinion Dynamics and Social Influence (9 papers), Evolutionary Psychology and Human Behavior (8 papers), Game Theory and Applications (7 papers) and Plant and animal studies (3 papers). The work is most often cited by research in Safety Research (574 citations), Sociology and Political Science (1.4k citations), Genetics (711 citations), Experimental and Cognitive Psychology (317 citations) and Statistical and Nonlinear Physics (287 citations). Te Wu has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Long Wang, Feng Fu, Yanling Zhang, Rui Cong, Zhi Li, Kun Li, Jing Wang, Zhiwu Li, Jia Gao and Guangming Xie. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Theoretical Biology, Physics Letters A, Europhysics Letters (EPL) and Scientific Reports.

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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