Ming‐Jong Tsai

465 citations
35 papers · 373 · h-index 9

Impact in

Papers in

Ming‐Jong Tsai

33 papers receiving 353 citations

Peers

Ming‐Jong Tsai
Comparison fields: 5 of 61
  • Computational Mechanics 109
  • Electrical and Electronic Engineering 226
  • Atomic and Molecular Physics, and Optics 110
  • Mechanical Engineering 113
  • Industrial and Manufacturing Engineering 29
Replace Guiling Deng with:
Guiling Deng China
Kiwamu ASHIDA Japan
Jae Seok Choi South Korea
Joseph J. Rencis United States
J. Wakil United States
L. Sanchez France
Siva P. Gurrum United States
Sergio Lupi Italy
Hsin-Ta Hsieh Taiwan
Ming‐Jong Tsai relative to Guiling Deng China Guiling Deng's profile →
Citations per field
00.5×4.6×
Guiling Deng · 1×
Citations per year

Countries citing papers authored by Ming‐Jong Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Jong Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198069
2 200857
3 200848
4 198337
5 200934
6 200315
7 200811
8 20098
9 20088
10 19787
11 20176
12 19946
13 20206
14 20056
15 20115
16 20054
17 20094
18 20054
19 20224
20 20194

About Ming‐Jong Tsai

Ming‐Jong Tsai is a scholar working on Electrical and Electronic Engineering, Computational Mechanics, Biomedical Engineering, Automotive Engineering and Atomic and Molecular Physics, and Optics, having authored 35 papers that have together received 373 indexed citations. Recurring topics across this work include Laser Material Processing Techniques (9 papers), Additive Manufacturing and 3D Printing Technologies (7 papers), Surface Roughness and Optical Measurements (6 papers), Thin-Film Transistor Technologies (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Color Science and Applications (3 papers), Organic Light-Emitting Diodes Research (3 papers) and Semiconductor materials and interfaces (2 papers). The work is most often cited by research in Computational Mechanics (109 citations), Electrical and Electronic Engineering (226 citations), Atomic and Molecular Physics, and Optics (110 citations), Mechanical Engineering (113 citations) and Industrial and Manufacturing Engineering (29 citations). Ming‐Jong Tsai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Richard H. Bube, Alan L. Fahrenbruch, Mulpuri V. Rao, P. Bhattacharya, Jinn‐Kong Sheu, Tengyao Jiang, Hsin‐Hui Chiu, Wei‐Hsin Chen, Chunhao Li and Cha’o-Kuang Chen. Their work appears in journals such as Journal of Applied Physics, Optics & Laser Technology, Journal of Materials Processing Technology, IEEE Transactions on Consumer Electronics and Laser Physics.

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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