Ming‐Shi Chen

14 total papers · 605 total citations
10 papers, 472 citations indexed

About

Ming‐Shi Chen is a scholar working on Social Psychology, Management of Technology and Innovation and Mechanical Engineering. According to data from OpenAlex, Ming‐Shi Chen has authored 10 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Social Psychology, 6 papers in Management of Technology and Innovation and 5 papers in Mechanical Engineering. Recurrent topics in Ming‐Shi Chen's work include Color perception and design (6 papers), Design Education and Practice (5 papers) and Quality Function Deployment in Product Design (4 papers). Ming‐Shi Chen is often cited by papers focused on Color perception and design (6 papers), Design Education and Practice (5 papers) and Quality Function Deployment in Product Design (4 papers). Ming‐Shi Chen collaborates with scholars based in Taiwan, United States and China. Ming‐Shi Chen's co-authors include Ming‐Chyuan Lin, Chun‐Ming Chang, Chencheng Wang and Yi‐Hsien Lin and has published in prestigious journals such as Technological Forecasting and Social Change, Computers in Industry and Advanced Engineering Informatics.

In The Last Decade

Ming‐Shi Chen

10 papers receiving 432 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‐Shi Chen 221 187 80 67 64 10 472
Ming‐Chyuan Lin 243 1.1× 224 1.2× 93 1.2× 75 1.1× 78 1.2× 15 545
Michael A. Mullens 253 1.1× 200 1.1× 43 0.5× 66 1.0× 47 0.7× 18 465
Henk Jan Wassenaar 112 0.5× 226 1.2× 76 0.9× 49 0.7× 50 0.8× 9 487
Kay‐Chuan Tan 126 0.6× 242 1.3× 43 0.5× 27 0.4× 57 0.9× 10 441
Kwang‐Jae Kim 219 1.0× 249 1.3× 41 0.5× 52 0.8× 42 0.7× 10 408
Taeho Park 159 0.7× 199 1.1× 37 0.5× 82 1.2× 92 1.4× 36 482
Unny Menon 54 0.2× 84 0.4× 84 1.1× 59 0.9× 70 1.1× 18 432
James V. Carnahan 115 0.5× 134 0.7× 35 0.4× 76 1.1× 23 0.4× 29 424
Lina He 82 0.4× 182 1.0× 43 0.5× 120 1.8× 147 2.3× 26 481
Shijie Chen 81 0.4× 154 0.8× 43 0.5× 93 1.4× 36 0.6× 27 492

Countries citing papers authored by Ming‐Shi Chen

Since Specialization
Citations

This map shows the geographic impact of Ming‐Shi 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‐Shi 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‐Shi Chen more than expected).

Fields of papers citing papers by Ming‐Shi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ming‐Shi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Shi Chen. A scholar is included among the top collaborators of Ming‐Shi 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‐Shi Chen. Ming‐Shi Chen 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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