George T.‐C. Chiu
- Mechanical Engineering top 1%
- Control and Systems Engineering top 0.5%
- Biomedical Engineering top 2%
- Electrical and Electronic Engineering top 5%
- Computer Vision and Pattern Recognition top 1%
- Co-authors
- Bin YaoFanping BuJ. William BoleyMasayoshi TomizukaJan P. AllebachRebecca K. KramerEdward L. WhiteEdward J. Delp
- Topics
- Iterative Learning Control Systems (34 papers)Digital Media Forensic Detection (26 papers)Color Science and Applications (24 papers)
- Cited by
- Control and Systems EngineeringMechanical EngineeringComputer Vision and Pattern Recognition
- Partner nations
- United StatesTaiwanSingapore
In The Last Decade
George T.‐C. Chiu
245 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Mechanical Engineering 1.6k
- Control and Systems Engineering 1.5k
- Biomedical Engineering 1.1k
- Electrical and Electronic Engineering 913
- Computer Vision and Pattern Recognition 760
Countries citing papers authored by George T.‐C. Chiu
This map shows the geographic impact of George T.‐C. Chiu'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 George T.‐C. Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites George T.‐C. Chiu more than expected).
Fields of papers citing papers by George T.‐C. Chiu
This network shows the impact of papers produced by George T.‐C. Chiu. 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 George T.‐C. Chiu. The network helps show where George T.‐C. Chiu may publish in the future.
Co-authorship network of co-authors of George T.‐C. Chiu
This figure shows the co-authorship network connecting the top 25 collaborators of George T.‐C. Chiu. A scholar is included among the top collaborators of George T.‐C. Chiu 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 George T.‐C. Chiu. George T.‐C. Chiu 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 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 5 | |
| 8 | 9 | |
| 9 | 76 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 25 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 14 | |
| 16 | 43 | |
| 17 | 78 | |
| 18 | 24 | |
| 19 | 39 | |
| 20 | 38 |
About George T.‐C. Chiu
George T.‐C. Chiu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Structural Biology, having authored 266 papers that have together received 4.7k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (34 papers), Digital Media Forensic Detection (26 papers) and Color Science and Applications (24 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Mechanical Engineering (1.6k citations) and Computer Vision and Pattern Recognition (760 citations). George T.‐C. Chiu has collaborated with scholars based in United States, Taiwan and Singapore. Frequent co-authors include Bin Yao, Fanping Bu, J. William Boley, Masayoshi Tomizuka, Jan P. Allebach, Rebecca K. Kramer, Edward L. White, Edward J. Delp, Robert J. Bernhard and Keith A. Williams. Their work appears in journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.
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.