Che-Chun Su
Impact in
- Media Technology top 1%
- Advanced Image Fusion Techniques
- Advanced Optical Imaging Technologies
-
- Image and Video Quality Assessment
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
- Image Enhancement Techniques
Papers in
-
- Image and Video Quality Assessment 5
- Image Enhancement Techniques 4
- Advanced Steganography and Watermarking Techniques 3
- Advanced Vision and Imaging 3
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- Advanced Image Fusion Techniques 3
- Co-authors
- Alan C. Bovik (8 shared papers)Lawrence K. Cormack (7 shared papers)Ming-Jun Chen (2 shared papers)Do-Kyoung Kwon (2 shared papers)Bao Liu (1 shared paper)Lixiong Liu (1 shared paper)Hua Huang (1 shared paper)Chien-Pang Lee (2 shared papers)
- Journals
- Signal Processing Image Communication (3 papers)Cancer Research (1 paper)Journal of Vision (1 paper)Oncotarget (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- TaiwanUnited StatesCroatia
In The Last Decade
Che-Chun Su
22 papers receiving 646 citations
Peers
Comparison fields: 5 of 92
- Media Technology 320
- Computer Vision and Pattern Recognition 507
- Cognitive Neuroscience 114
- Biological Psychiatry 7
- Signal Processing 25
Countries citing papers authored by Che-Chun Su
This map shows the geographic impact of Che-Chun Su'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 Che-Chun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che-Chun Su more than expected).
Fields of papers citing papers by Che-Chun Su
This network shows the impact of papers produced by Che-Chun Su. 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 Che-Chun Su. The network helps show where Che-Chun Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Che-Chun Su, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 292 | |
| 2 | 2015 | 72 | |
| 3 | 2017 | 65 | |
| 4 | 2017 | 28 | |
| 5 | 2011 | 28 | |
| 6 | 2015 | 25 | |
| 7 | 2004 | 22 | |
| 8 | 2020 | 19 | |
| 9 | 2018 | 17 | |
| 10 | 2021 | 14 | |
| 11 | 2018 | 13 | |
| 12 | 2007 | 9 | |
| 13 | 2005 | 9 | |
| 14 | 2017 | 9 | |
| 15 | 2012 | 8 | |
| 16 | 2008 | 8 | |
| 17 | 2013 | 6 | |
| 18 | 2010 | 4 | |
| 19 | 2005 | 3 | |
| 20 | 2012 | 3 |
About Che-Chun Su
Che-Chun Su is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Cognitive Neuroscience, Signal Processing and Immunology, having authored 22 papers that have together received 657 indexed citations. Recurring topics across this work include Visual perception and processing mechanisms (5 papers), Image and Video Quality Assessment (5 papers), Image Enhancement Techniques (4 papers), Advanced Steganography and Watermarking Techniques (3 papers), Video Coding and Compression Technologies (3 papers), Advanced Image Fusion Techniques (3 papers), Advanced Vision and Imaging (3 papers) and Mast cells and histamine (2 papers). The work is most often cited by research in Media Technology (320 citations), Computer Vision and Pattern Recognition (507 citations), Cognitive Neuroscience (114 citations), Biological Psychiatry (7 citations) and Signal Processing (25 citations). Che-Chun Su has collaborated with scholars based in Taiwan, United States and Croatia. Frequent co-authors include Alan C. Bovik, Lawrence K. Cormack, Ming-Jun Chen, Do-Kyoung Kwon, Bao Liu, Lixiong Liu, Hua Huang, Chien-Pang Lee, Homer H. Chen and Menghsiao Meng. Their work appears in journals such as Signal Processing Image Communication, Cancer Research, Journal of Vision, Oncotarget and IEEE Transactions on Image Processing.
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.