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 30
- Speech and Audio Processing 23
-
- Music Technology and Sound Studies 21
- Video Surveillance and Tracking Methods 3
- Co-authors
- Xiaoou Chen (34 shared papers)Yuqian Wu (5 shared papers)Xing Wang (3 shared papers)Jun Wang (2 shared papers)Xiaoyu Qi (2 shared papers)Liqun Peng (3 shared papers)Xiaobing Liu (1 shared paper)Xavier Anguera (1 shared paper)
- Journals
- Lecture notes in computer science (3 papers)Smart innovation, systems and technologies (1 paper)Advances in intelligent and soft computing (1 paper)Lecture notes in electrical engineering (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (1 paper)
In The Last Decade
Deshun Yang
32 papers receiving 266 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 250
- Music 36
- Computer Vision and Pattern Recognition 175
- Developmental Biology 9
- Cognitive Neuroscience 66
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 15 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 80 | |
| 2 | 2019 | 36 | |
| 3 | 2018 | 31 | |
| 4 | 2011 | 18 | |
| 5 | 2020 | 13 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 11 | |
| 8 | 2010 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2008 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2014 | 8 | |
| 13 | 2013 | 8 | |
| 14 | 2010 | 8 | |
| 15 | 2010 | 7 | |
| 16 | 2015 | 6 | |
| 17 | 2018 | 6 | |
| 18 | 2017 | 5 | |
| 19 | 2016 | 5 | |
| 20 | 2017 | 4 |
About Deshun Yang
Deshun Yang is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Artificial Intelligence, Music and Safety, Risk, Reliability and Quality, having authored 34 papers that have together received 322 indexed citations. Recurring topics across this work include Music and Audio Processing (30 papers), Speech and Audio Processing (23 papers), Music Technology and Sound Studies (21 papers), Speech Recognition and Synthesis (4 papers), Advanced Text Analysis Techniques (3 papers), Video Surveillance and Tracking Methods (3 papers), Fire Detection and Safety Systems (2 papers) and Anomaly Detection Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (250 citations), Music (36 citations), Computer Vision and Pattern Recognition (175 citations), Developmental Biology (9 citations) and Cognitive Neuroscience (66 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, Xiaoyu Qi, Liqun Peng, Xiaobing Liu, Xavier Anguera, Feng Guo and Kang Cai. Their work appears in journals such as Lecture notes in computer science, Smart innovation, systems and technologies, Advances in intelligent and soft computing, Lecture notes in electrical engineering 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.