Shaoting Tang

891 citations
51 papers · 581 indexed · h-index 14

Impact in

Papers in

Shaoting Tang

48 papers receiving 563 citations

Peers

Shaoting Tang
Comparison fields: 5 of 86
  • Statistical and Nonlinear Physics 389
  • Communication 50
  • Modeling and Simulation 26
  • Sociology and Political Science 190
  • Computer Networks and Communications 82
Replace Tarik Hadzibeganovic with:
Tarik Hadzibeganovic Austria
Amanda L. Traud United States
Mostafa Salehi Iran
Unai Alvarez-Rodriguez Spain
Mahmoudreza Babaei Germany
Bing-Hong Wang China
Giulio Rossetti Italy
Giovanna Miritello Spain
Xiu‐Xiu Zhan China
Shaoting Tang relative to Tarik Hadzibeganovic Austria Tarik Hadzibeganovic's profile →
Citations per field
00.5×4.1×
Tarik Hadzibeganovic · 1×
Citations per year

Countries citing papers authored by Shaoting Tang

Since Specialization
Citations

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

Fields of papers citing papers by Shaoting Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202063
2 201562
3 201342
4 201541
5 201539
6 201228
7 201519
8 201318
9 201417
10 202316
11 201715
12 202214
13 202314
14 201814
15 201513
16 200913
17 201413
18 201712
19 202111
20 20249

About Shaoting Tang

Shaoting Tang is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science, Cognitive Neuroscience, Computer Networks and Communications and Experimental and Cognitive Psychology, having authored 51 papers that have together received 581 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (29 papers), Opinion Dynamics and Social Influence (28 papers), Evolutionary Game Theory and Cooperation (9 papers), Functional Brain Connectivity Studies (7 papers), Mental Health Research Topics (5 papers), Misinformation and Its Impacts (5 papers), Neural dynamics and brain function (5 papers) and Advanced Neuroimaging Techniques and Applications (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (389 citations), Communication (50 citations), Modeling and Simulation (26 citations), Sociology and Political Science (190 citations) and Computer Networks and Communications (82 citations). Shaoting Tang has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Zhiming Zheng, Sen Pei, Shu Yan, Xiao Zhang, Weihua Li, Zhen Qian, Feng Fu, Lev Muchnik, Hernán A. Makse and Quantong Guo. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, New Journal of Physics, PLoS Computational Biology, PLoS ONE and Nature Communications.

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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