Yu-Tai Ching
Impact in
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- Computational Geometry and Mesh Generation
Papers in
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- Medical Image Segmentation Techniques 6
- Context-Aware Activity Recognition Systems 3
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- Computational Geometry and Mesh Generation 6
- Computer Graphics and Visualization Techniques 6
- Co-authors
- Chih‐Yang Lin (7 shared papers)Shyh‐Jye Chen (4 shared papers)Y. Hwu (4 shared papers)Wen‐Jeng Lee (3 shared papers)Chao-Chun Chuang (1 shared paper)Ching‐Hwa Tsai (1 shared paper)Yun-Liang Yang (2 shared papers)Chia‐Hung Chang (1 shared paper)
- Journals
- The Visual Computer (2 papers)Neuroinformatics (2 papers)Journal of Digital Imaging (2 papers)Pattern Recognition Letters (1 paper)Computers & Graphics (1 paper)
- Partner nations
- TaiwanUnited StatesSwitzerland
In The Last Decade
Yu-Tai Ching
38 papers receiving 322 citations
Peers
Comparison fields: 5 of 89
- Computer Graphics and Computer-Aided Design 67
- Structural Biology 11
- Biophysics 39
- Computer Vision and Pattern Recognition 117
- Media Technology 34
Countries citing papers authored by Yu-Tai Ching
This map shows the geographic impact of Yu-Tai Ching'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 Yu-Tai Ching with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Tai Ching more than expected).
Fields of papers citing papers by Yu-Tai Ching
This network shows the impact of papers produced by Yu-Tai Ching. 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 Yu-Tai Ching. The network helps show where Yu-Tai Ching may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Tai Ching, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1985 | 41 | |
| 2 | 2001 | 32 | |
| 3 | 2006 | 27 | |
| 4 | 2005 | 23 | |
| 5 | 2005 | 18 | |
| 6 | 2012 | 18 | |
| 7 | 2014 | 16 | |
| 8 | 2018 | 15 | |
| 9 | 1996 | 14 | |
| 10 | 2006 | 12 | |
| 11 | 2004 | 11 | |
| 12 | 2017 | 11 | |
| 13 | 2007 | 11 | |
| 14 | 2008 | 9 | |
| 15 | 1985 | 8 | |
| 16 | 2005 | 7 | |
| 17 | 2013 | 7 | |
| 18 | 1992 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 1997 | 5 |
About Yu-Tai Ching
Yu-Tai Ching is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Radiology, Nuclear Medicine and Imaging, Computational Mechanics and Biophysics, having authored 38 papers that have together received 343 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (6 papers), Computational Geometry and Mesh Generation (6 papers), Computer Graphics and Visualization Techniques (6 papers), Cell Image Analysis Techniques (6 papers), Advanced Numerical Analysis Techniques (5 papers), Advanced Fluorescence Microscopy Techniques (3 papers), Advanced X-ray Imaging Techniques (3 papers) and Context-Aware Activity Recognition Systems (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (67 citations), Structural Biology (11 citations), Biophysics (39 citations), Computer Vision and Pattern Recognition (117 citations) and Media Technology (34 citations). Yu-Tai Ching has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Chih‐Yang Lin, Shyh‐Jye Chen, Y. Hwu, Wen‐Jeng Lee, Chao-Chun Chuang, Ching‐Hwa Tsai, Yun-Liang Yang, Chia‐Hung Chang, Ann‐Shyn Chiang and Ann‐Shyn Chiang. Their work appears in journals such as The Visual Computer, Neuroinformatics, Journal of Digital Imaging, Pattern Recognition Letters and Computers & Graphics.
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.