T.C. Chang
- Industrial and Manufacturing Engineering top 0.2%
- Mechanical Engineering top 5%
- Computational Mechanics top 2%
- Automotive Engineering top 2%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- Sanjay JoshiYoo S. HongManju BalaDavid C. AndersonYuan‐Shin LeeAjay JonejaS.R.T. KumaraR.L. Kashyap
- Topics
- Manufacturing Process and Optimization (23 papers)Product Development and Customization (7 papers)Advanced Numerical Analysis Techniques (7 papers)
- Journals
- Scientific ReportsEuropean Journal of Operational ResearchInternational Journal of Production Research
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
T.C. Chang
29 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Industrial and Manufacturing Engineering 1.2k
- Mechanical Engineering 446
- Computational Mechanics 417
- Automotive Engineering 308
- Computer Vision and Pattern Recognition 135
Countries citing papers authored by T.C. Chang
This map shows the geographic impact of T.C. 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 T.C. Chang 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. Chang more than expected).
Fields of papers citing papers by T.C. Chang
This network shows the impact of papers produced by T.C. 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 T.C. Chang. The network helps show where T.C. Chang may publish in the future.
Co-authorship network of co-authors of T.C. Chang
This figure shows the co-authorship network connecting the top 25 collaborators of T.C. Chang. A scholar is included among the top collaborators of T.C. 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 T.C. Chang. T.C. 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 | 1 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 227 | |
| 6 | 1 | |
| 7 | 26 | |
| 8 | 55 | |
| 9 | 7 | |
| 10 | 4 | |
| 11 | 44 | |
| 12 | 65 | |
| 13 | Search Anatomy in Feature Based Automated Process Planning | 5 |
| 14 | 84 | |
| 15 | 6 | |
| 16 | 74 | |
| 17 | A Generalized Framework for Automatic Planning of Fixture Configurations | 2 |
| 18 | FEASIBLE TOOL APPROACH DIRECTIONS FOR MACHINING HOLES IN AUTOMATED PROCESS PLANNING SYSTEMS. | 4 |
| 19 | AUTOMATED PROCESS PLANNING SYSTEM STRUCTURE BASED ON AI. | 2 |
| 20 | 52 |
About T.C. Chang
T.C. Chang is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Architecture, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (23 papers), Product Development and Customization (7 papers) and Advanced Numerical Analysis Techniques (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Automotive Engineering (308 citations) and Computational Mechanics (417 citations). T.C. Chang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Sanjay Joshi, Yoo S. Hong, Manju Bala, David C. Anderson, Yuan‐Shin Lee, Ajay Joneja, S.R.T. Kumara, R.L. Kashyap, Colin L. Moodie and Subrata Chatterjee. Their work appears in journals such as Scientific Reports, European Journal of Operational Research 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.