C.-C. Su
Impact in
- Media Technology top 2%
- Advanced Image Fusion Techniques
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- Image and Video Quality Assessment
- Visual Attention and Saliency Detection
- Advanced Image Processing Techniques
- Image Enhancement Techniques
Papers in
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- Image Enhancement Techniques 3
- Advanced Vision and Imaging 2
- Image and Video Quality Assessment 2
-
- Bioactive Natural Diterpenoids Research 1
- Co-authors
- Alan C. Bovik (4 shared papers)Anush K. Moorthy (1 shared paper)Anish Mittal (1 shared paper)Biing-Hui Liu (1 shared paper)Tian-Shung Wu (1 shared paper)Feng‐Yih Yu (1 shared paper)Cheng‐Yoong Pang (1 shared paper)Sheng‐Chun Chiu (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)Toxicological Sciences (1 paper)Prostate Cancer and Prostatic Diseases (1 paper)British Journal of Radiology (1 paper)Signal Processing Image Communication (1 paper)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
C.-C. Su
11 papers receiving 474 citations
Peers
Comparison fields: 5 of 69
- Media Technology 167
- Computer Vision and Pattern Recognition 259
- Complementary and alternative medicine 37
- Cognitive Neuroscience 57
- Cancer Research 41
Countries citing papers authored by C.-C. Su
This map shows the geographic impact of C.-C. 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 C.-C. Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.-C. Su more than expected).
Fields of papers citing papers by C.-C. Su
This network shows the impact of papers produced by C.-C. 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 C.-C. Su. The network helps show where C.-C. Su may publish in the future.
Co-authors
The 25 scholars most cited alongside C.-C. 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
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 249 | |
| 2 | 2006 | 89 | |
| 3 | 2013 | 62 | |
| 4 | 2010 | 28 | |
| 5 | 2004 | 25 | |
| 6 | 2014 | 14 | |
| 7 | Choroidal masses: a fourteen-year analysis. | 2001 | 6 |
| 8 | 2014 | 5 | |
| 9 | 2014 | 2 | |
| 10 | 2011 | 2 | |
| 11 | 2009 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2009 | 0 |
About C.-C. Su
C.-C. Su is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology, Atomic and Molecular Physics, and Optics, Cancer Research and Surgery, having authored 13 papers that have together received 483 indexed citations. Recurring topics across this work include Image Enhancement Techniques (3 papers), Color Science and Applications (2 papers), Advanced Vision and Imaging (2 papers), Image and Video Quality Assessment (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Urologic and reproductive health conditions (1 paper), Visual perception and processing mechanisms (1 paper) and Bioactive Natural Diterpenoids Research (1 paper). The work is most often cited by research in Media Technology (167 citations), Computer Vision and Pattern Recognition (259 citations), Complementary and alternative medicine (37 citations), Cognitive Neuroscience (57 citations) and Cancer Research (41 citations). C.-C. Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Alan C. Bovik, Anush K. Moorthy, Anish Mittal, Biing-Hui Liu, Tian-Shung Wu, Feng‐Yih Yu, Cheng‐Yoong Pang, Sheng‐Chun Chiu, Tsung‐Lang Chiu and Songwen Zhou. Their work appears in journals such as Journal of Clinical Oncology, Toxicological Sciences, Prostate Cancer and Prostatic Diseases, British Journal of Radiology and Signal Processing Image Communication.
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.