Ta‐Chung Chu
- Management Science and Operations Research top 0.5%
- Control and Systems Engineering top 2%
- Statistics and Probability top 1%
- Artificial Intelligence top 10%
- Strategy and Management top 10%
- Co-authors
- Chung-Tsen TsaoYi‐Chen LinWei‐Chang YehYeou-Ren ShiueJun YangMeihua WangChia‐Ling HuangXianyong Zhang
- Topics
- Multi-Criteria Decision Making (36 papers)Fuzzy Systems and Optimization (22 papers)Optimization and Mathematical Programming (15 papers)
In The Last Decade
Ta‐Chung Chu
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Management Science and Operations Research 876
- Control and Systems Engineering 391
- Statistics and Probability 385
- Artificial Intelligence 172
- Strategy and Management 112
Countries citing papers authored by Ta‐Chung Chu
This map shows the geographic impact of Ta‐Chung 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 Ta‐Chung Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ta‐Chung Chu more than expected).
Fields of papers citing papers by Ta‐Chung Chu
This network shows the impact of papers produced by Ta‐Chung 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 Ta‐Chung Chu. The network helps show where Ta‐Chung Chu may publish in the future.
Co-authorship network of co-authors of Ta‐Chung Chu
This figure shows the co-authorship network connecting the top 25 collaborators of Ta‐Chung Chu. A scholar is included among the top collaborators of Ta‐Chung Chu 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 Ta‐Chung Chu. Ta‐Chung Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 6 | |
| 10 | Ordering Alternatives under Fuzzy Multiple Criteria Decision Making via a Fuzzy Number Dominance Based Ranking Approach | 10 |
| 11 | 2 | |
| 12 | 38 | |
| 13 | 99 | |
| 14 | 65 | |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 400 | |
| 18 | 85 | |
| 19 | 3 | |
| 20 | 3 |
About Ta‐Chung Chu
Ta‐Chung Chu is a scholar working on Management Science and Operations Research, Statistics and Probability and Control and Systems Engineering, having authored 38 papers that have together received 1.1k indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (36 papers), Fuzzy Systems and Optimization (22 papers) and Optimization and Mathematical Programming (15 papers). The work is most often cited by research in Management Science and Operations Research (876 citations), Statistics and Probability (385 citations) and Control and Systems Engineering (391 citations). Ta‐Chung Chu has collaborated with scholars based in Taiwan, Vietnam and China. Frequent co-authors include Chung-Tsen Tsao, Yi‐Chen Lin, Wei‐Chang Yeh, Yeou-Ren Shiue, Jun Yang, Meihua Wang, Chia‐Ling Huang, Xianyong Zhang, Rong-Ho Lin and Tzu-Ming Chang. Their work appears in journals such as Expert Systems with Applications, Reliability Engineering & System Safety and Energies.
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.