Shaoting Tang

931 citations
56 papers · 646 · h-index 15

Impact in

Papers in

Shaoting Tang

49 papers receiving 629 citations

Peers

Shaoting Tang
Comparison fields: 5 of 87
  • Statistical and Nonlinear Physics 428
  • Communication 57
  • Modeling and Simulation 25
  • Sociology and Political Science 217
  • Computer Networks and Communications 82
Replace Saulo D. S. Reis with:
Saulo D. S. Reis Brazil
Unai Alvarez-Rodriguez Spain
Mahmoudreza Babaei Germany
Giovanna Miritello Spain
Xiu‐Xiu Zhan China
Alexandru Topîrceanu Romania
René Pfitzner Switzerland
Daniel P. Mäki United States
Muhua Zheng China
Shaoting Tang relative to Saulo D. S. Reis Brazil Saulo D. S. Reis's profile →
Citations per field
00.5×1.5×2.4×
Saulo D. S. Reis · 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 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201567
2 202067
3 201550
4 201343
5 201541
6 201228
7 201521
8 202321
9 201418
10 201318
11 202217
12 201717
13 201516
14 202315
15 200915
16 201814
17 201414
18 202113
19 201713
20 202411

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 56 papers that have together received 646 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 (10 papers), Neural dynamics and brain function (7 papers), Functional Brain Connectivity Studies (7 papers), Mental Health Research Topics (5 papers), Misinformation and Its Impacts (5 papers) and Evolution and Genetic Dynamics (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (428 citations), Communication (57 citations), Modeling and Simulation (25 citations), Sociology and Political Science (217 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, Xiao Zhang, Weihua Li, Zhen Qian, Feng Fu, Hernán A. Makse, Lev Muchnik, Quantong Guo and Xiao Zhang. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, PLoS Computational Biology, Frontiers in Neuroscience, PLoS ONE and New Journal of Physics.

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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