Shin-Ting Wu
Impact in
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- Computer Graphics and Visualization Techniques
- Computational Geometry and Mesh Generation
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- Geographic Information Systems Studies
Papers in
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- Advanced Vision and Imaging 6
- Medical Image Segmentation Techniques 4
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- Computer Graphics and Visualization Techniques 12
- Co-authors
- Rickson C. Mesquita (2 shared papers)Sergio L. Novi (2 shared papers)Clarissa Lin Yasuda (5 shared papers)Dani Tost (1 shared paper)Fernando Cendes (4 shared papers)Chia‐Yang Li (2 shared papers)Yu‐Wei Chang (2 shared papers)Jau‐Ling Suen (3 shared papers)
In The Last Decade
Shin-Ting Wu
46 papers receiving 277 citations
Peers
Comparison fields: 5 of 90
- Computer Graphics and Computer-Aided Design 45
- Geography, Planning and Development 31
- Computational Mathematics 3
- Computer Vision and Pattern Recognition 74
- Signal Processing 37
Countries citing papers authored by Shin-Ting Wu
This map shows the geographic impact of Shin-Ting Wu'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 Shin-Ting Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shin-Ting Wu more than expected).
Fields of papers citing papers by Shin-Ting Wu
This network shows the impact of papers produced by Shin-Ting Wu. 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 Shin-Ting Wu. The network helps show where Shin-Ting Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Shin-Ting Wu, 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 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 58 | |
| 2 | 2020 | 36 | |
| 3 | 2004 | 17 | |
| 4 | 1999 | 17 | |
| 5 | 2022 | 16 | |
| 6 | 2004 | 14 | |
| 7 | 2020 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2007 | 12 | |
| 10 | 2011 | 6 | |
| 11 | 2016 | 6 | |
| 12 | 2005 | 6 | |
| 13 | 1989 | 6 | |
| 14 | 2011 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2018 | 4 | |
| 17 | 2002 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2008 | 3 | |
| 20 | 1998 | 3 |
About Shin-Ting Wu
Shin-Ting Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering, having authored 49 papers that have together received 292 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (12 papers), 3D Shape Modeling and Analysis (7 papers), Advanced Vision and Imaging (6 papers), Advanced Numerical Analysis Techniques (6 papers), Robotics and Sensor-Based Localization (6 papers), Advanced Neuroimaging Techniques and Applications (5 papers), Geographic Information Systems Studies (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (45 citations), Geography, Planning and Development (31 citations), Computational Mathematics (3 citations), Computer Vision and Pattern Recognition (74 citations) and Signal Processing (37 citations). Shin-Ting Wu has collaborated with scholars based in Brazil, Taiwan and Germany. Frequent co-authors include Rickson C. Mesquita, Sergio L. Novi, Clarissa Lin Yasuda, Dani Tost, Fernando Cendes, Chia‐Yang Li, Yu‐Wei Chang, Jau‐Ling Suen, Sueli I. R. Costa and Shau‐Ku Huang. Their work appears in journals such as Computers & Graphics, The Visual Computer, Computer Aided Geometric Design, ACM Transactions on Storage and IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
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.