Ming‐Chuen Chuang

43 total papers · 506 total citations
30 papers, 347 citations indexed

About

Ming‐Chuen Chuang is a scholar working on Social Psychology, Computer Vision and Pattern Recognition and General Health Professions. According to data from OpenAlex, Ming‐Chuen Chuang has authored 30 papers receiving a total of 347 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Social Psychology, 6 papers in Computer Vision and Pattern Recognition and 5 papers in General Health Professions. Recurrent topics in Ming‐Chuen Chuang's work include Color perception and design (9 papers), Multisensory perception and integration (5 papers) and Sensory Analysis and Statistical Methods (3 papers). Ming‐Chuen Chuang is often cited by papers focused on Color perception and design (9 papers), Multisensory perception and integration (5 papers) and Sensory Analysis and Statistical Methods (3 papers). Ming‐Chuen Chuang collaborates with scholars based in Taiwan, United States and Germany. Ming‐Chuen Chuang's co-authors include Li‐Chen Ou, John G. Kreifeldt, Tien‐Chun Chang, Dingming Wang, Pei‐Ju Lin, Ming-Hui Wen, John K. Zao, Shang-Hwa Hsu, Shih-Chen Fan and Shang Hwa Hsu and has published in prestigious journals such as Science, SHILAP Revista de lepidopterología and Computers in Human Behavior.

In The Last Decade

Ming‐Chuen Chuang

29 papers receiving 327 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ming‐Chuen Chuang 189 104 68 49 48 30 347
Qing‐Xing Qu 224 1.2× 90 0.9× 60 0.9× 53 1.1× 31 0.6× 19 380
Hua-Cheng Chang 217 1.1× 92 0.9× 24 0.4× 60 1.2× 84 1.8× 12 311
Jean-François Petiot 237 1.3× 98 0.9× 26 0.4× 38 0.8× 84 1.8× 19 328
Bahar Şener 141 0.7× 80 0.8× 44 0.6× 11 0.2× 18 0.4× 28 352
Tomohiro Masuda 102 0.5× 108 1.0× 87 1.3× 18 0.4× 90 1.9× 29 387
Domicelė Jonauskaitė 291 1.5× 232 2.2× 51 0.8× 36 0.7× 13 0.3× 29 382
Toshimasa Yamanaka 146 0.8× 65 0.6× 25 0.4× 13 0.3× 49 1.0× 73 300
René van Egmond 145 0.8× 66 0.6× 114 1.7× 24 0.5× 9 0.2× 50 402
Sandra Mouta 250 1.3× 95 0.9× 89 1.3× 19 0.4× 18 0.4× 18 387
Pei‐Li Sun 162 0.9× 73 0.7× 49 0.7× 104 2.1× 8 0.2× 41 304

Countries citing papers authored by Ming‐Chuen Chuang

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chuen Chuang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chuen 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 Ming‐Chuen Chuang. The network helps show where Ming‐Chuen Chuang may publish in the future.

Co-authorship network of co-authors of Ming‐Chuen Chuang

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

All Works

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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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2026