Ming-Te Chen

533 citations
32 papers · 435 · h-index 10

Impact in

Papers in

    • Blockchain Technology Applications and Security 4
    • Color perception and design 7
    • Ergonomics and Musculoskeletal Disorders 6
    • Safety Warnings and Signage 2

Ming-Te Chen

28 papers receiving 409 citations

Peers

Ming-Te Chen
Comparison fields: 5 of 68
  • Social Psychology 225
  • Human-Computer Interaction 60
  • Cognitive Neuroscience 105
  • Industrial and Manufacturing Engineering 45
  • Computer Vision and Pattern Recognition 50
Replace Chengqi Xue with:
Chengqi Xue China
Juliane Reichenbach Germany
Subhashini Ganapathy United States
Robert G. Eggleston United States
Farhad Dadgostar New Zealand
David M. Weimer United States
Jeffrey G. Morrison United States
T. Ertl Germany
Sabrina Caldwell Australia
Ming-Te Chen relative to Chengqi Xue China Chengqi Xue's profile →
Citations per field
00.5×2×4×6.3×
Chengqi Xue · 1×
Citations per year

Countries citing papers authored by Ming-Te Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ming-Te Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-Te Chen. 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 Ming-Te Chen. The network helps show where Ming-Te Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200090
2 199768
3 200454
4 199745
5 199234
6 201023
7 200721
8 200316
9 200211
10 201110
11 20088
12 20067
13 20087
14 20146
15 20145
16 20105
17 20215
18 20203
19
AN EFFICIENT ELECTRONIC CASH SCHEME WITH MULTIPLE BANKS USING GROUP SIGNATURE
20123
20 20202

About Ming-Te Chen

Ming-Te Chen is a scholar working on Information Systems, Social Psychology, Computer Networks and Communications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 435 indexed citations. Recurring topics across this work include Cryptography and Data Security (8 papers), Color perception and design (7 papers), Ergonomics and Musculoskeletal Disorders (6 papers), Advanced Steganography and Watermarking Techniques (6 papers), Blockchain Technology Applications and Security (4 papers), Internet Traffic Analysis and Secure E-voting (3 papers), Color Science and Applications (3 papers) and Safety Warnings and Signage (2 papers). The work is most often cited by research in Social Psychology (225 citations), Human-Computer Interaction (60 citations), Cognitive Neuroscience (105 citations), Industrial and Manufacturing Engineering (45 citations) and Computer Vision and Pattern Recognition (50 citations). Ming-Te Chen has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Kong-King Shieh, Chin-Chiuan Lin, Chun‐I Fan, Richard L. Shell, O. Geoffrey Okogbaa, Ming-Chau Chang, Tain-Hsiung Chen, Chuan‐Mu Chen, Cheng‐Hsun Chen and Tsung‐Hung Lin. Their work appears in journals such as International Journal of Industrial Ergonomics, Applied Sciences, International Journal on Semantic Web and Information Systems, Injury and Journal of Industrial and Management Optimization.

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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