Shaolin Tan

59 total papers · 594 total citations
40 papers, 431 citations indexed

About

Shaolin Tan is a scholar working on Sociology and Political Science, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Shaolin Tan has authored 40 papers receiving a total of 431 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Sociology and Political Science, 13 papers in Computer Networks and Communications and 13 papers in Statistical and Nonlinear Physics. Recurrent topics in Shaolin Tan's work include Evolutionary Game Theory and Cooperation (19 papers), Evolution and Genetic Dynamics (12 papers) and Game Theory and Applications (11 papers). Shaolin Tan is often cited by papers focused on Evolutionary Game Theory and Cooperation (19 papers), Evolution and Genetic Dynamics (12 papers) and Game Theory and Applications (11 papers). Shaolin Tan collaborates with scholars based in China, Australia and Hong Kong. Shaolin Tan's co-authors include Jinhu Lü, Yaonan Wang, David J. Hill, Henghui Zhu, Yao Chen, Wenwu Yu, Zongli Lin, Athanasios V. Vasilakos, Guanrong Chen and Yao Chen and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.

In The Last Decade

Shaolin Tan

31 papers receiving 405 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Shaolin Tan	207	141	138	88	83	40	431
James R. Riehl	109 0.5×	149 1.1×	89 0.6×	61 0.7×	63 0.8×	26	378
Peilian Guo	74 0.4×	84 0.6×	37 0.3×	70 0.8×	76 0.9×	18	371
Qiming Liu	113 0.5×	71 0.5×	298 2.2×	88 1.0×	27 0.3×	42	471
Xiang Wu	199 1.0×	96 0.7×	183 1.3×	60 0.7×	67 0.8×	31	438
Shihua Fu	46 0.2×	96 0.7×	33 0.2×	72 0.8×	93 1.1×	62	373
Weicai Zhong	53 0.3×	67 0.5×	76 0.6×	28 0.3×	35 0.4×	25	374
Zhenbin Liu	98 0.5×	50 0.4×	25 0.2×	39 0.4×	56 0.7×	24	467
Ashish R. Hota	36 0.2×	53 0.4×	63 0.5×	53 0.6×	23 0.3×	42	434
Dong Hao	26 0.1×	222 1.6×	189 1.4×	56 0.6×	85 1.0×	30	495
Jin-Li Guo	56 0.3×	79 0.6×	259 1.9×	14 0.2×	12 0.1×	55	448

Countries citing papers authored by Shaolin Tan

Since Specialization

Citations

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

Fields of papers citing papers by Shaolin Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaolin Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Shaolin Tan. A scholar is included among the top collaborators of Shaolin Tan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shaolin Tan. Shaolin Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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