Yuanshi Wang

107 total papers · 900 total citations
88 papers, 682 citations indexed

About

Yuanshi Wang is a scholar working on Public Health, Environmental and Occupational Health, Sociology and Political Science and Genetics. According to data from OpenAlex, Yuanshi Wang has authored 88 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Public Health, Environmental and Occupational Health, 42 papers in Sociology and Political Science and 40 papers in Genetics. Recurrent topics in Yuanshi Wang's work include Mathematical and Theoretical Epidemiology and Ecology Models (52 papers), Evolutionary Game Theory and Cooperation (42 papers) and Evolution and Genetic Dynamics (40 papers). Yuanshi Wang is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (52 papers), Evolutionary Game Theory and Cooperation (42 papers) and Evolution and Genetic Dynamics (40 papers). Yuanshi Wang collaborates with scholars based in China, United States and Hong Kong. Yuanshi Wang's co-authors include Hong Wu, Donald L. DeAngelis, Jiming Liu, J. Nathaniel Holland, Xiaolong Jin, Shikun Wang, Wei‐Ming Ni, Fei Yu, Yufeng Li and Rong Huang and has published in prestigious journals such as The American Naturalist, Sensors and Journal of Theoretical Biology.

In The Last Decade

Yuanshi Wang

80 papers receiving 639 citations

Author Peers

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

Author						Papers	Cites
Yuanshi Wang	371	290	197	181	114	88	682
Yu. V. Tyutyunov	378 1.0×	316 1.1×	79 0.4×	61 0.3×	66 0.6×	36	658
Samrat Chatterjee	325 0.9×	246 0.8×	102 0.5×	45 0.2×	79 0.7×	88	784
Juhua Liang	394 1.1×	191 0.7×	70 0.4×	54 0.3×	63 0.6×	25	780
Pauline Hogeweg	114 0.3×	240 0.8×	126 0.6×	124 0.7×	146 1.3×	22	721
P. D. N. Srinivasu	582 1.6×	457 1.6×	151 0.8×	47 0.3×	66 0.6×	26	680
Joaquim Valls	121 0.3×	174 0.6×	84 0.4×	54 0.3×	96 0.8×	36	633
Yuan Tian	371 1.0×	238 0.8×	92 0.5×	16 0.1×	85 0.7×	49	726
Prabir Panja	539 1.5×	343 1.2×	126 0.6×	26 0.1×	78 0.7×	50	710
Genki Ichinose	237 0.6×	229 0.8×	344 1.7×	47 0.3×	18 0.2×	56	638
Claude Lobry	220 0.6×	202 0.7×	111 0.6×	32 0.2×	29 0.3×	35	759

Countries citing papers authored by Yuanshi Wang

Since Specialization

Citations

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

Fields of papers citing papers by Yuanshi Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuanshi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuanshi Wang. A scholar is included among the top collaborators of Yuanshi Wang 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 Yuanshi Wang. Yuanshi Wang 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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