Ming-Te Chen

20 papers and 332 indexed citations
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About

Ming-Te Chen is a scholar working on Social Psychology, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ming-Te Chen has authored 20 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Social Psychology, 4 papers in Artificial Intelligence and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ming-Te Chen’s work include Color perception and design (7 papers), Ergonomics and Musculoskeletal Disorders (6 papers) and Cryptography and Data Security (4 papers). Ming-Te Chen is often cited by papers focused on Color perception and design (7 papers), Ergonomics and Musculoskeletal Disorders (6 papers) and Cryptography and Data Security (4 papers). Ming-Te Chen collaborates with scholars based in Taiwan and United States. Ming-Te Chen's co-authors include Kong-King Shieh, Chin-Chiuan Lin, Richard L. Shell, O. Geoffrey Okogbaa, Ming-Chau Chang, Chuan‐Mu Chen, Tain-Hsiung Chen, Cheng‐Hsun Chen, Tsung‐Hung Lin and Wan‐Yuo Guo and has published in prestigious journals such as International Journal of Production Research, Injury and Applied Sciences.

In The Last Decade

Co-authorship network of co-authors of Ming-Te Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-Te Chen. A scholar is included among the top collaborators of Ming-Te Chen 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 Ming-Te Chen. Ming-Te Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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.

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).

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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