Shih‐Pin Chen

77 total papers · 1.6k total citations
61 papers, 1.2k citations indexed

About

Shih‐Pin Chen is a scholar working on Management Science and Operations Research, Control and Systems Engineering and Management Information Systems. According to data from OpenAlex, Shih‐Pin Chen has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Management Science and Operations Research, 18 papers in Control and Systems Engineering and 17 papers in Management Information Systems. Recurrent topics in Shih‐Pin Chen's work include Optimization and Mathematical Programming (17 papers), Multi-Criteria Decision Making (14 papers) and Fuzzy Systems and Optimization (12 papers). Shih‐Pin Chen is often cited by papers focused on Optimization and Mathematical Programming (17 papers), Multi-Criteria Decision Making (14 papers) and Fuzzy Systems and Optimization (12 papers). Shih‐Pin Chen collaborates with scholars based in Taiwan, Ireland and Saudi Arabia. Shih‐Pin Chen's co-authors include Ying‐Chih Liao, Chiang Kao, Pei‐Chi Chang, Jyh‐Horng Sheu, Zhen-Kai Kao, Chun‐Hao Su, Chang‐Feng Dai, Chih‐Hua Chao, Ping‐Jyun Sung and Chih‐Ying Chen and has published in prestigious journals such as ACS Applied Materials & Interfaces, European Journal of Operational Research and Physical Chemistry Chemical Physics.

In The Last Decade

Shih‐Pin Chen

58 papers receiving 1.2k citations

Author Peers

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

Author Last Decade Papers Cites
Shih‐Pin Chen 466 263 259 226 222 61 1.2k
Sung H. Park 381 0.8× 180 0.7× 189 0.7× 128 0.6× 57 0.3× 52 1.3k
A.M.M. Sharif Ullah 250 0.5× 132 0.5× 83 0.3× 132 0.6× 127 0.6× 71 1.1k
Sébastien Thomassey 344 0.7× 112 0.4× 209 0.8× 46 0.2× 128 0.6× 58 1.3k
Chang-Sheng Lin 626 1.3× 83 0.3× 65 0.3× 52 0.2× 188 0.8× 49 1.2k
Antonio Rizzi 430 0.9× 39 0.1× 469 1.8× 25 0.1× 103 0.5× 45 1.4k
Susanta Kumar Gauri 124 0.3× 197 0.7× 18 0.1× 142 0.6× 252 1.1× 59 963
Jian Liu 476 1.0× 259 1.0× 245 0.9× 28 0.1× 201 0.9× 112 1.2k
Kuo-Hao Chang 179 0.4× 230 0.9× 61 0.2× 76 0.3× 110 0.5× 82 1.4k
Mikael Collan 251 0.5× 61 0.2× 47 0.2× 49 0.2× 77 0.3× 94 966
Yunfei Chu 98 0.2× 56 0.2× 77 0.3× 82 0.4× 799 3.6× 46 1.3k

Countries citing papers authored by Shih‐Pin Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Pin Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Pin Chen. 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 Shih‐Pin Chen. The network helps show where Shih‐Pin Chen may publish in the future.

Co-authorship network of co-authors of Shih‐Pin Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Pin Chen. A scholar is included among the top collaborators of Shih‐Pin Chen 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 Shih‐Pin Chen. Shih‐Pin Chen 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