Tien‐Chien Chang
- Industrial and Manufacturing Engineering top 0.5%
- Computational Mechanics top 5%
- Mechanical Engineering top 10%
- Management Science and Operations Research top 5%
- Control and Systems Engineering top 10%
- Co-authors
- Yuan‐Shin LeeSanjay JoshiRichard A. WyskMao‐Jiun J. WangAjay JonejaDana NauAlan C. LinRobert P. Davis
- Topics
- Manufacturing Process and Optimization (32 papers)Advanced Numerical Analysis Techniques (15 papers)Flexible and Reconfigurable Manufacturing Systems (7 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational MechanicsComputer Graphics and Computer-Aided Design
- Partner nations
- United StatesTaiwanSouth Korea
In The Last Decade
Tien‐Chien Chang
39 papers receiving 850 citations
Peers
Comparison fields: 5 of 86
- Industrial and Manufacturing Engineering 636
- Computational Mechanics 272
- Mechanical Engineering 251
- Management Science and Operations Research 98
- Control and Systems Engineering 92
Countries citing papers authored by Tien‐Chien Chang
This map shows the geographic impact of Tien‐Chien 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 Tien‐Chien Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tien‐Chien Chang more than expected).
Fields of papers citing papers by Tien‐Chien Chang
This network shows the impact of papers produced by Tien‐Chien 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 Tien‐Chien Chang. The network helps show where Tien‐Chien Chang may publish in the future.
Co-authorship network of co-authors of Tien‐Chien Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Tien‐Chien Chang. A scholar is included among the top collaborators of Tien‐Chien Chang 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 Tien‐Chien Chang. Tien‐Chien Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 15 | |
| 3 | 5 | |
| 4 | 14 | |
| 5 | 33 | |
| 6 | 1 | |
| 7 | 92 | |
| 8 | 102 | |
| 9 | 20 | |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 41 | |
| 13 | 23 | |
| 14 | 81 | |
| 15 | 3 | |
| 16 | 1 | |
| 17 | 5 | |
| 18 | Integrated and intelligent manufacturing | 18 |
| 19 | 32 | |
| 20 | 8 |
About Tien‐Chien Chang
Tien‐Chien Chang is a scholar working on Industrial and Manufacturing Engineering, Computational Mechanics and Computer Graphics and Computer-Aided Design, having authored 40 papers that have together received 912 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (32 papers), Advanced Numerical Analysis Techniques (15 papers) and Flexible and Reconfigurable Manufacturing Systems (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (636 citations), Computational Mechanics (272 citations) and Computer Graphics and Computer-Aided Design (43 citations). Tien‐Chien Chang has collaborated with scholars based in United States, Taiwan and South Korea. Frequent co-authors include Yuan‐Shin Lee, Sanjay Joshi, Richard A. Wysk, Mao‐Jiun J. Wang, Ajay Joneja, Dana Nau, Alan C. Lin, Robert P. Davis, John P. Shewchuk and Byoung K. Choi. Their work appears in journals such as Scientific Reports, Fuzzy Sets and Systems and International Journal of Production 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.