Ya-Fan Su
Impact in
- Signal Processing top 2%
- Music and Audio Processing
- Speech and Audio Processing
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- Music Technology and Sound Studies
- Image and Video Quality Assessment
- Video Analysis and Summarization
Papers in
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- Music Technology and Sound Studies 2
- Advanced Image and Video Retrieval Techniques 2
- Image Retrieval and Classification Techniques 2
- Advanced Vision and Imaging 1
- Generative Adversarial Networks and Image Synthesis 1
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- Music and Audio Processing 2
- Speech and Audio Processing 2
- Video Coding and Compression Technologies 1
- Co-authors
- Yi‐Hsuan Yang (3 shared papers)Homer H. Chen (3 shared papers)Yu‐Ching Lin (2 shared papers)Hsin‐Hsi Chen (1 shared paper)Winston H. Hsu (2 shared papers)Kuan‐Ting Chen (1 shared paper)Wen-Yu Lee (1 shared paper)Yu-Chiang Frank Wang (1 shared paper)
- Journals
- IEEE Transactions on Multimedia (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- Taiwan
In The Last Decade
Ya-Fan Su
7 papers receiving 415 citations
Ya-Fan Su's Hit Papers
Peers
Comparison fields: 5 of 43
- Signal Processing 317
- Computer Vision and Pattern Recognition 212
- Cognitive Neuroscience 154
- Experimental and Cognitive Psychology 93
- Music 14
Countries citing papers authored by Ya-Fan Su
This map shows the geographic impact of Ya-Fan 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 Ya-Fan Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya-Fan Su more than expected).
Fields of papers citing papers by Ya-Fan Su
This network shows the impact of papers produced by Ya-Fan 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 Ya-Fan Su. The network helps show where Ya-Fan Su may publish in the future.
Co-authors
The 9 scholars most cited alongside Ya-Fan 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 | A Regression Approach to Music Emotion Recognition Hit paper breakdown → | 2008 | 321 |
| 2 | 2009 | 46 | |
| 3 | 2007 | 44 | |
| 4 | 2010 | 21 | |
| 5 | 2012 | 6 | |
| 6 | 2011 | 4 | |
| 7 | 2021 | 1 |
About Ya-Fan Su
Ya-Fan Su is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 7 papers that have together received 443 indexed citations. Recurring topics across this work include Music and Audio Processing (2 papers), Music Technology and Sound Studies (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Image Retrieval and Classification Techniques (2 papers), Speech and Audio Processing (2 papers), Video Coding and Compression Technologies (1 paper), Advanced Vision and Imaging (1 paper) and Generative Adversarial Networks and Image Synthesis (1 paper). The work is most often cited by research in Signal Processing (317 citations), Computer Vision and Pattern Recognition (212 citations), Cognitive Neuroscience (154 citations), Experimental and Cognitive Psychology (93 citations) and Music (14 citations). Ya-Fan Su has collaborated with scholars based in Taiwan. Frequent co-authors include Yi‐Hsuan Yang, Homer H. Chen, Yu‐Ching Lin, Hsin‐Hsi Chen, Winston H. Hsu, Kuan‐Ting Chen, Wen-Yu Lee, Yu-Chiang Frank Wang and Shang‐Fu Chen. Their work appears in journals such as IEEE Transactions on Multimedia, IEEE Transactions on Audio Speech and Language Processing 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.