Du‐Ming Tsai

6.2k citations
117 papers · 5.1k · h-index 43

Impact in

Papers in

Du‐Ming Tsai

115 papers receiving 4.8k citations

Peers

Du‐Ming Tsai
Comparison fields: 5 of 152
  • Industrial and Manufacturing Engineering 2.7k
  • Media Technology 1.2k
  • Computer Vision and Pattern Recognition 2.7k
  • Computational Mechanics 953
  • Mechanical Engineering 628
Replace G.K.H. Pang with:
G.K.H. Pang Hong Kong
Dongwei Ren China
De Xu China
Zhigang Liu China
Chunjing Xu China
Haozhi Qi United States
Hua Yang China
Yigang He China
Song Bai China
Jonathan Masci Switzerland
Du‐Ming Tsai relative to G.K.H. Pang Hong Kong G.K.H. Pang's profile →
Citations per field
00.5×
G.K.H. Pang · 1×
Citations per year

Countries citing papers authored by Du‐Ming Tsai

Since Specialization
Citations

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

Fields of papers citing papers by Du‐Ming Tsai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003226
2 2008219
3 2003182
4 1999181
5 2012162
6 2012156
7 2020137
8 1995137
9 1996135
10 2004127
11 2001127
12 2004127
13 2010115
14 2002103
15 2011102
16 201898
17 200397
18 201197
19 201096
20 202194

About Du‐Ming Tsai

Du‐Ming Tsai is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering, Computational Mechanics, Media Technology and Aerospace Engineering, having authored 117 papers that have together received 5.1k indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (74 papers), Image and Object Detection Techniques (41 papers), Image Processing Techniques and Applications (27 papers), Surface Roughness and Optical Measurements (27 papers), Optical measurement and interference techniques (17 papers), Advanced Image and Video Retrieval Techniques (10 papers), Integrated Circuits and Semiconductor Failure Analysis (10 papers) and Robotics and Sensor-Based Localization (10 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.7k citations), Media Technology (1.2k citations), Computer Vision and Pattern Recognition (2.7k citations), Computational Mechanics (953 citations) and Mechanical Engineering (628 citations). Du‐Ming Tsai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Shin-Min Chao, Chi-Jie Lu, Wei‐Yao Chiu, Shu‐Kai S. Fan, Wei-Chen Li, Shih-Chieh Wu, Bo Hsiao, Weichen Li, Ya‐Hui Tsai and Jeng-Fung Chen. Their work appears in journals such as Pattern Recognition Letters, Pattern Recognition, Image and Vision Computing, The International Journal of Advanced Manufacturing Technology and International Journal of Production Research.

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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