Thomas C. Chuang

818 citations
30 papers · 593 indexed · h-index 12

Impact in

Papers in

Thomas C. Chuang

30 papers receiving 564 citations

Peers

Thomas C. Chuang
Comparison fields: 5 of 99
  • Polymers and Plastics 143
  • Electrochemistry 51
  • Signal Processing 71
  • Electronic, Optical and Magnetic Materials 107
  • Bioengineering 29
Replace Osvaldo N. Oliveira with:
Osvaldo N. Oliveira Brazil
Gunawan Witjaksono Malaysia
Sungho Park South Korea
Michael Mayer Germany
Ritu Sharma India
Claire Mathieu France
Jae-il Jung South Korea
Trevor Michael Braun United States
Hui Kang China
Thomas C. Chuang relative to Osvaldo N. Oliveira Brazil Osvaldo N. Oliveira's profile →
Citations per field
00.5×5.1×
Osvaldo N. Oliveira · 1×
Citations per year

Countries citing papers authored by Thomas C. Chuang

Since Specialization
Citations

This map shows the geographic impact of Thomas C. Chuang'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 Thomas C. Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas C. Chuang more than expected).

Fields of papers citing papers by Thomas C. Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas C. Chuang. 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 Thomas C. Chuang. The network helps show where Thomas C. Chuang may publish in the future.

Co-authors

The 25 scholars most cited alongside Thomas C. Chuang, 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 Thomas C. Chuang Line = papers co-authored together Thomas C. Chuang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 201643
3 201498
4 20125
5 20121
6 20086
7 20073
8 200711
9 200512
10 200513
11 200517
12 200573
13 200516
14 20043
15 200451
16 20042
17 200411
18 200345
19 200311
20 19901

About Thomas C. Chuang

Thomas C. Chuang is a scholar working on Polymers and Plastics, Computer Vision and Pattern Recognition, Electrochemistry, Artificial Intelligence and Signal Processing, having authored 30 papers that have together received 593 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (6 papers), Conducting polymers and applications (6 papers), Topic Modeling (5 papers), Gold and Silver Nanoparticles Synthesis and Applications (3 papers), Advanced Steganography and Watermarking Techniques (3 papers), Digital Media Forensic Detection (3 papers), Electrochemical Analysis and Applications (2 papers) and Superconducting Materials and Applications (2 papers). The work is most often cited by research in Polymers and Plastics (143 citations), Electrochemistry (51 citations), Signal Processing (71 citations), Electronic, Optical and Magnetic Materials (107 citations) and Bioengineering (29 citations). Thomas C. Chuang has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yu‐Chuan Liu, Louis Y.Y. Lu, John S. Liu, Kuo‐Chin Fan, Chih‐Lung Lin, Fang-Mei Tseng, Char‐Dir Chung, Chee‐Chan Wang, Jason S. Chang and Chih‐Hao Chang. Their work appears in journals such as The Journal of Physical Chemistry B, International Journal of Heat and Mass Transfer, CALICO Journal, Cryogenics and RSC Advances.

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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