Te-Min Chang
Impact in
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- Scheduling and Optimization Algorithms
- Advanced Manufacturing and Logistics Optimization
- Assembly Line Balancing Optimization
- Management Information Systems top 10%
Papers in
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- Neural Networks and Applications 3
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- Stock Market Forecasting Methods 6
- Co-authors
- Yuehwern Yih (6 shared papers)Sin‐Jin Lin (8 shared papers)Ming-Fu Hsu (4 shared papers)Keng‐Pei Lin (3 shared papers)Chih-Ya Shen (1 shared paper)Jen‐Her Wu (2 shared papers)Hao-Yun Kao (2 shared papers)Hsin‐Hui Lin (1 shared paper)
- Journals
- International Journal of Production Research (4 papers)Expert Systems with Applications (2 papers)Computers in Human Behavior (2 papers)Program electronic library and information systems (1 paper)Annals of Operations Research (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Te-Min Chang
28 papers receiving 278 citations
Peers
Comparison fields: 5 of 71
- Industrial and Manufacturing Engineering 99
- Management Information Systems 42
- Management Science and Operations Research 50
- Artificial Intelligence 97
- Information Systems 62
Countries citing papers authored by Te-Min Chang
This map shows the geographic impact of Te-Min Chang'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 Te-Min Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Te-Min Chang more than expected).
Fields of papers citing papers by Te-Min Chang
This network shows the impact of papers produced by Te-Min Chang. 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 Te-Min Chang. The network helps show where Te-Min Chang may publish in the future.
Co-authors
The 18 scholars most cited alongside Te-Min Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 62 | |
| 2 | 2007 | 45 | |
| 3 | 2017 | 29 | |
| 4 | 1994 | 25 | |
| 5 | 2008 | 16 | |
| 6 | 2017 | 15 | |
| 7 | 2007 | 12 | |
| 8 | 2016 | 11 | |
| 9 | 1998 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2015 | 10 | |
| 12 | 1998 | 9 | |
| 13 | 2019 | 7 | |
| 14 | 2011 | 7 | |
| 15 | 2023 | 5 | |
| 16 | 2021 | 5 | |
| 17 | 2015 | 4 | |
| 18 | 1979 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2023 | 3 |
About Te-Min Chang
Te-Min Chang is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Accounting and Strategy and Management, having authored 29 papers that have together received 309 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (6 papers), Financial Distress and Bankruptcy Prediction (4 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Supply Chain Resilience and Risk Management (3 papers), Recommender Systems and Techniques (3 papers), Neural Networks and Applications (3 papers), Rough Sets and Fuzzy Logic (3 papers) and Scheduling and Optimization Algorithms (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (99 citations), Management Information Systems (42 citations), Management Science and Operations Research (50 citations), Artificial Intelligence (97 citations) and Information Systems (62 citations). Te-Min Chang has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Yuehwern Yih, Sin‐Jin Lin, Ming-Fu Hsu, Keng‐Pei Lin, Chih-Ya Shen, Jen‐Her Wu, Hao-Yun Kao, Hsin‐Hui Lin, Yu‐Feng Su and Rex K. Kincaid. Their work appears in journals such as International Journal of Production Research, Expert Systems with Applications, Computers in Human Behavior, Program electronic library and information systems and Annals of Operations Research.
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.