Jin-Li Guo

97 total papers · 662 total citations
55 papers, 448 citations indexed

About

Jin-Li Guo is a scholar working on Statistical and Nonlinear Physics, Sociology and Political Science and Economics and Econometrics. According to data from OpenAlex, Jin-Li Guo has authored 55 papers receiving a total of 448 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Statistical and Nonlinear Physics, 10 papers in Sociology and Political Science and 9 papers in Economics and Econometrics. Recurrent topics in Jin-Li Guo's work include Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (22 papers) and Evolutionary Game Theory and Cooperation (9 papers). Jin-Li Guo is often cited by papers focused on Complex Network Analysis Techniques (36 papers), Opinion Dynamics and Social Influence (22 papers) and Evolutionary Game Theory and Cooperation (9 papers). Jin-Li Guo collaborates with scholars based in China, United States and Hong Kong. Jin-Li Guo's co-authors include Yu Wang, Chao Fan, Tao Zhou, Han-Xin Yang, Junfang Wang, Shiwei Sun, Jeffrey Yi‐Lin Forrest, Tao Ma, Han Liu and Haibo Hu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Jin-Li Guo

50 papers receiving 405 citations

Author Peers

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

Author Last Decade Papers Cites
Jin-Li Guo 259 79 66 58 56 55 448
Ashish R. Hota 63 0.2× 53 0.7× 17 0.3× 71 1.2× 36 0.6× 42 434
Cyrille Bertelle 178 0.7× 51 0.6× 8 0.1× 22 0.4× 128 2.3× 50 488
Dalibor Fiala 165 0.6× 24 0.3× 182 2.8× 12 0.2× 39 0.7× 36 423
Sebastián Moreno 127 0.5× 26 0.3× 9 0.1× 8 0.1× 29 0.5× 40 501
José F. Vicent 187 0.7× 40 0.5× 6 0.1× 7 0.1× 42 0.8× 48 522
A. Al-khedhairi 100 0.4× 15 0.2× 24 0.4× 41 0.7× 66 1.2× 41 446
Xovee Xu 239 0.9× 63 0.8× 5 0.1× 18 0.3× 61 1.1× 41 473
Wei Zeng 105 0.4× 28 0.4× 20 0.3× 47 0.8× 71 1.3× 41 434
Taro Kanno 13 0.1× 55 0.7× 34 0.5× 34 0.6× 14 0.3× 58 427
Qi Liao 86 0.3× 27 0.3× 8 0.1× 28 0.5× 159 2.8× 56 541

Countries citing papers authored by Jin-Li Guo

Since Specialization
Citations

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

Fields of papers citing papers by Jin-Li Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Li Guo. 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 Jin-Li Guo. The network helps show where Jin-Li Guo may publish in the future.

Co-authorship network of co-authors of Jin-Li Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Jin-Li Guo. A scholar is included among the top collaborators of Jin-Li Guo 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 Jin-Li Guo. Jin-Li Guo 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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