Shih‐Pin Chen
- Management Science and Operations Research top 1%
- Electrical and Electronic Engineering
- Management Information Systems top 2%
- Biomedical Engineering
- Control and Systems Engineering top 5%
- Co-authors
- Ying‐Chih LiaoChiang KaoPei‐Chi ChangJyh‐Horng SheuZhen-Kai KaoChun‐Hao SuChang‐Feng DaiChih‐Hua Chao
- Topics
- Optimization and Mathematical Programming (17 papers)Multi-Criteria Decision Making (14 papers)Supply Chain and Inventory Management (12 papers)
- Cited by
- Management Science and Operations ResearchManagement Information SystemsStatistics and Probability
In The Last Decade
Shih‐Pin Chen
58 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 99
- Management Science and Operations Research 466
- Electrical and Electronic Engineering 266
- Management Information Systems 260
- Biomedical Engineering 227
- Control and Systems Engineering 222
Countries citing papers authored by Shih‐Pin Chen
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 15 | |
| 3 | 2 | |
| 4 | 57 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 4 | |
| 8 | 64 | |
| 9 | 34 | |
| 10 | 49 | |
| 11 | 6 | |
| 12 | 7 | |
| 13 | 82 | |
| 14 | 1 | |
| 15 | 91 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 2 | |
| 19 | 12 | |
| 20 | 7 |
About Shih‐Pin Chen
Shih‐Pin Chen is a scholar working on Management Science and Operations Research, Management Information Systems and Statistics and Probability, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include Optimization and Mathematical Programming (17 papers), Multi-Criteria Decision Making (14 papers) and Supply Chain and Inventory Management (12 papers). The work is most often cited by research in Management Science and Operations Research (466 citations), Management Information Systems (260 citations) and Statistics and Probability (173 citations). Shih‐Pin Chen has collaborated with scholars based in Taiwan, Ireland and Japan. Frequent 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. Their work appears in journals such as ACS Applied Materials & Interfaces, European Journal of Operational Research and Physical Chemistry Chemical Physics.
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.