Shen‐Chuan Tai
- Computer Vision and Pattern Recognition top 1%
- Signal Processing top 2%
- Cardiology and Cardiovascular Medicine top 10%
- Media Technology top 2%
- Biomedical Engineering
- Co-authors
- S. M. YangYan WangChengzhe LaiYu‐Chang LinChangwei LinYing-Ru ChenCheng‐Jian LinKevin C. Chung
- Topics
- Image and Signal Denoising Methods (29 papers)Advanced Data Compression Techniques (26 papers)Image Enhancement Techniques (24 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Biomedical EngineeringIEEE Transactions on Communications
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
Shen‐Chuan Tai
88 papers receiving 932 citations
Peers
Comparison fields: 5 of 78
- Computer Vision and Pattern Recognition 775
- Signal Processing 369
- Cardiology and Cardiovascular Medicine 191
- Media Technology 170
- Biomedical Engineering 156
Countries citing papers authored by Shen‐Chuan Tai
This map shows the geographic impact of Shen‐Chuan Tai'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 Shen‐Chuan Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shen‐Chuan Tai more than expected).
Fields of papers citing papers by Shen‐Chuan Tai
This network shows the impact of papers produced by Shen‐Chuan Tai. 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 Shen‐Chuan Tai. The network helps show where Shen‐Chuan Tai may publish in the future.
Co-authorship network of co-authors of Shen‐Chuan Tai
This figure shows the co-authorship network connecting the top 25 collaborators of Shen‐Chuan Tai. A scholar is included among the top collaborators of Shen‐Chuan Tai 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 Shen‐Chuan Tai. Shen‐Chuan Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | Automatic White Balance algorithm through the average equalization and threshold | 13 |
| 3 | 4 | |
| 4 | Color balance algorithm with Zone system in color image correction | 2 |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | Facial Expression Recognition using Neural Network | 16 |
| 10 | 35 | |
| 11 | 97 | |
| 12 | 12 | |
| 13 | 5 | |
| 14 | Digital Watermarking for Image Ownership Protection on Internet | 1 |
| 15 | 40 | |
| 16 | 5 | |
| 17 | 5 | |
| 18 | 3 | |
| 19 | 16 | |
| 20 | 27 |
About Shen‐Chuan Tai
Shen‐Chuan Tai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 93 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (29 papers), Advanced Data Compression Techniques (26 papers) and Image Enhancement Techniques (24 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (775 citations), Signal Processing (369 citations) and Media Technology (170 citations). Shen‐Chuan Tai has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include S. M. Yang, Yan Wang, Chengzhe Lai, Yu‐Chang Lin, Changwei Lin, Ying-Ru Chen, Cheng‐Jian Lin, Kevin C. Chung, Guo-Shiang Lin and Chung‐Yu Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Biomedical Engineering and IEEE Transactions on Communications.
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.