T.-C. Chu
Impact in
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- Multi-Criteria Decision Making
- Statistics and Probability top 5%
- Fuzzy Systems and Optimization
Papers in ⓘ
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- Fuzzy Systems and Optimization 3
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- Multi-Criteria Decision Making 3
- Co-authors
- Yi‐Chen Lin (1 shared paper)Yang Xiang (1 shared paper)Jun Luo (1 shared paper)Jie Ding (1 shared paper)Kang K. Yen (1 shared paper)Tuan Minh Le (1 shared paper)Jing Chen (1 shared paper)Jiajia Xu (1 shared paper)
- Journals
- The International Journal of Advanced Manufacturing Technology (3 papers)Scientific Reports (1 paper)Data Mining and Knowledge Discovery (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)International Journal of Technology (1 paper)
In The Last Decade
T.-C. Chu
5 papers receiving 487 citations
Peers
Comparison fields: 5 of 69
- Management Science and Operations Research 380
- Statistics and Probability 78
- Management of Technology and Innovation 65
- Control and Systems Engineering 133
- Industrial and Manufacturing Engineering 52
Countries citing papers authored by T.-C. Chu
This map shows the geographic impact of T.-C. Chu'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 T.-C. Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.-C. Chu more than expected).
Fields of papers citing papers by T.-C. Chu
This network shows the impact of papers produced by T.-C. Chu. 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 T.-C. Chu. The network helps show where T.-C. Chu may publish in the future.
Co-authors
The 10 scholars most cited alongside T.-C. Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 265 | |
| 2 | 2002 | 226 | |
| 3 | 2004 | 20 | |
| 4 | 1999 | 10 | |
| 5 | 2013 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2025 | 0 |
About T.-C. Chu
T.-C. Chu is a scholar working on Statistics and Probability, Management Science and Operations Research, Health, Industrial and Manufacturing Engineering and Artificial Intelligence, having authored 7 papers that have together received 522 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (3 papers), Fuzzy Systems and Optimization (3 papers), Fuzzy Logic and Control Systems (2 papers), Cardiovascular Health and Risk Factors (1 paper), Data Management and Algorithms (1 paper), Health disparities and outcomes (1 paper), Bayesian Modeling and Causal Inference (1 paper) and Healthcare Systems and Public Health (1 paper). The work is most often cited by research in Management Science and Operations Research (380 citations), Statistics and Probability (78 citations), Management of Technology and Innovation (65 citations), Control and Systems Engineering (133 citations) and Industrial and Manufacturing Engineering (52 citations). T.-C. Chu has collaborated with scholars based in Taiwan, China and Canada. Frequent co-authors include Yi‐Chen Lin, Yang Xiang, Jun Luo, Jie Ding, Kang K. Yen, Tuan Minh Le, Jing Chen, Jiajia Xu, Hung Viet Pham and Son Vu Truong Dao. Their work appears in journals such as The International Journal of Advanced Manufacturing Technology, Scientific Reports, Data Mining and Knowledge Discovery, Zenodo (CERN European Organization for Nuclear Research) and International Journal of Technology.
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.