George T.‐C. Chiu

6.8k citations
266 papers · 4.7k indexed · 2 hit papers · h-index 34

George T.‐C. Chiu

245 papers receiving 4.5k citations

Hit Papers

Direct Writing of Gallium‐Indium Alloy ...4712000202620082017100200300400500

Peers

George T.‐C. Chiu
Comparison fields: 5 of 142
  • Control and Systems Engineering 1.5k
  • Mechanical Engineering 1.6k
  • Computer Vision and Pattern Recognition 760
  • Automotive Engineering 348
  • Biomedical Engineering 1.1k
Replace James K. Mills with:
James K. Mills Canada
Jun Luo China
Satoshı Tadokoro Japan
M. Buehler United States
Xianmin Zhang China
Fumitoshi Matsuno Japan
Placid M. Ferreira United States
Hiroshi Fujimoto Japan
Yuhua Cheng China
Wei Gao Japan
George T.‐C. Chiu relative to James K. Mills Canada James K. Mills's profile →
Citations per field
00.5×
James K. Mills · 1×
Citations per year

Countries citing papers authored by George T.‐C. Chiu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside George T.‐C. Chiu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with George T.‐C. Chiu Line = papers co-authored together George T.‐C. Chiu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20240
3 20241
4 20233
5 20225
6 20224
7 20225
8 20229
9 202276
10 20224
11 20216
12 202125
13 20216
14 202016
15 202014
16 201943
17 201778
18 201724
19 200539
20 200438

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), Color Science and Applications (24 papers), Hydraulic and Pneumatic Systems (18 papers), Advanced Steganography and Watermarking Techniques (18 papers), Nanomaterials and Printing Technologies (16 papers), Industrial Vision Systems and Defect Detection (15 papers) and Advanced Chemical Sensor Technologies (13 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.

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