Deshun Yang
Impact in
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
- Music top 5%
- Diverse Musicological Studies
Papers in
-
- Music and Audio Processing 26
- Speech and Audio Processing 21
-
- Music Technology and Sound Studies 17
- Co-authors
- Xiaoou Chen (29 shared papers)Yuqian Wu (5 shared papers)Xing Wang (3 shared papers)Jun Wang (2 shared papers)Xiaobing Liu (1 shared paper)Feng Guo (1 shared paper)Xavier Anguera (1 shared paper)Liqun Peng (2 shared papers)
- Journals
- Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)IEEE Conference Proceedings (2 papers)Zenodo (CERN European Organization for Nuclear Research) (4 papers)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Deshun Yang
27 papers receiving 214 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 198
- Music 33
- Computer Vision and Pattern Recognition 131
- Developmental Biology 9
- Cognitive Neuroscience 55
Countries citing papers authored by Deshun Yang
This map shows the geographic impact of Deshun Yang'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 Deshun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deshun Yang more than expected).
Fields of papers citing papers by Deshun Yang
This network shows the impact of papers produced by Deshun Yang. 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 Deshun Yang. The network helps show where Deshun Yang may publish in the future.
Co-authors
The 14 scholars most cited alongside Deshun Yang, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 67 | |
| 2 | 2019 | 22 | |
| 3 | 2018 | 18 | |
| 4 | 2011 | 17 | |
| 5 | 2020 | 12 | |
| 6 | 2020 | 11 | |
| 7 | 2010 | 9 | |
| 8 | 2014 | 9 | |
| 9 | 2008 | 8 | |
| 10 | 2010 | 7 | |
| 11 | 2017 | 5 | |
| 12 | 2014 | 5 | |
| 13 | 2015 | 5 | |
| 14 | 2010 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2017 | 4 | |
| 18 | Beatsens' solution for MediaEval 2014 emotion in music task | 2014 | 3 |
| 19 | 2013 | 3 | |
| 20 | PKU-AIPL' Solution for MediaEval 2015 Emotion in Music Task | 2015 | 3 |
About Deshun Yang
Deshun Yang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Music and Experimental and Cognitive Psychology, having authored 29 papers that have together received 234 indexed citations. Recurring topics across this work include Music and Audio Processing (26 papers), Speech and Audio Processing (21 papers), Music Technology and Sound Studies (17 papers), Diverse Musicological Studies (2 papers), Advanced Text Analysis Techniques (2 papers), Neural Networks and Applications (2 papers), Anomaly Detection Techniques and Applications (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Signal Processing (198 citations), Music (33 citations), Computer Vision and Pattern Recognition (131 citations), Developmental Biology (9 citations) and Cognitive Neuroscience (55 citations). Deshun Yang has collaborated with scholars based in China, Myanmar and Czechia. Frequent co-authors include Xiaoou Chen, Yuqian Wu, Xing Wang, Jun Wang, Xiaobing Liu, Feng Guo, Xavier Anguera, Liqun Peng, Kang Cai and Xiaoyu Qi. Their work appears in journals such as Rare & Special e-Zone (The Hong Kong University of Science and Technology), IEEE Conference Proceedings, Zenodo (CERN European Organization for Nuclear Research) and Proceedings of the AAAI Conference on Artificial Intelligence.
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.