Chun‐Hsien Li

48 total papers · 662 total citations
37 papers, 484 citations indexed

About

Chun‐Hsien Li is a scholar working on Computer Networks and Communications, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chun‐Hsien Li has authored 37 papers receiving a total of 484 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 11 papers in Statistical and Nonlinear Physics and 10 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chun‐Hsien Li's work include Nonlinear Dynamics and Pattern Formation (10 papers), Neural Networks Stability and Synchronization (10 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (10 papers). Chun‐Hsien Li is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (10 papers), Neural Networks Stability and Synchronization (10 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (10 papers). Chun‐Hsien Li collaborates with scholars based in Taiwan, India and Canada. Chun‐Hsien Li's co-authors include Suh‐Yuh Yang, Junyuan Yang, Min‐Hsiang Chuang, Chang‐Yuan Cheng, Hsing‐Tao Kuo, Cheng-Hsiung Hsu, Chih‐Cheng Lai, Po‐Yu Huang, Ting‐Fen Tsai and Liang‐Kung Chen and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, International Journal of Molecular Sciences and Diabetologia.

In The Last Decade

Chun‐Hsien Li

35 papers receiving 473 citations

Author Peers

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

Author Last Decade Papers Cites
Chun‐Hsien Li 192 182 161 98 92 37 484
Jinliang Wang 192 1.0× 62 0.3× 97 0.6× 112 1.1× 88 1.0× 34 480
Yiping Lin 247 1.3× 129 0.7× 132 0.8× 145 1.5× 145 1.6× 42 485
Yongfeng Guo 74 0.4× 301 1.7× 78 0.5× 77 0.8× 43 0.5× 57 485
Dejun Fan 243 1.3× 140 0.8× 166 1.0× 185 1.9× 133 1.4× 30 442
Xiang Wu 60 0.3× 183 1.0× 98 0.6× 199 2.0× 67 0.7× 31 438
Muhua Zheng 58 0.3× 373 2.0× 77 0.5× 89 0.9× 29 0.3× 37 518
Wei Feng 267 1.4× 88 0.5× 115 0.7× 88 0.9× 195 2.1× 41 479
Yi Song 298 1.6× 45 0.2× 200 1.2× 61 0.6× 185 2.0× 33 421
Ayman A. Arafa 92 0.5× 253 1.4× 76 0.5× 210 2.1× 35 0.4× 24 413
Dongpo Hu 294 1.5× 116 0.6× 73 0.5× 169 1.7× 212 2.3× 27 431

Countries citing papers authored by Chun‐Hsien Li

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐Hsien Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐Hsien Li. 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 Chun‐Hsien Li. The network helps show where Chun‐Hsien Li may publish in the future.

Co-authorship network of co-authors of Chun‐Hsien Li

This figure shows the co-authorship network connecting the top 25 collaborators of Chun‐Hsien Li. A scholar is included among the top collaborators of Chun‐Hsien Li 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 Chun‐Hsien Li. Chun‐Hsien Li 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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2026