Jun Yang
Impact in
- Signal Processing top 0.2%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Computational Mechanics top 0.5%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Speech and Audio Processing 168
- Blind Source Separation Techniques 40
-
- Acoustic Wave Phenomena Research 147
- Co-authors
- Feiran Yang (64 shared papers)Ming Wu (64 shared papers)Woon‐Seng Gan (30 shared papers)Yuzhen Yang (29 shared papers)Bin Liang (18 shared papers)Jian‐Chun Cheng (17 shared papers)Gengkai Hu (2 shared papers)Han Jia (21 shared papers)
- Journals
- The Journal of the Acoustical Society of America (32 papers)Applied Acoustics (22 papers)IEEE Signal Processing Letters (16 papers)Journal of Sound and Vibration (15 papers)Applied Sciences (14 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jun Yang
403 papers receiving 4.9k citations
Jun Yang's Hit Papers
Peers
Comparison fields: 5 of 156
- Signal Processing 1.7k
- Computational Mechanics 1.4k
- Speech and Hearing 357
- Biomedical Engineering 2.4k
- Electronic, Optical and Magnetic Materials 631
Countries citing papers authored by Jun Yang
This map shows the geographic impact of Jun 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 Jun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yang more than expected).
Fields of papers citing papers by Jun Yang
This network shows the impact of papers produced by Jun 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 Jun Yang. The network helps show where Jun Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 456 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 169 | |
| 2 | 2017 | 140 | |
| 3 | 2012 | 139 | |
| 4 | 2008 | 94 | |
| 5 | 2006 | 92 | |
| 6 | 2010 | 90 | |
| 7 | 2018 | 81 | |
| 8 | 2016 | 80 | |
| 9 | 2020 | 77 | |
| 10 | 2016 | 72 | |
| 11 | 2021 | 71 | |
| 12 | 2018 | 68 | |
| 13 | 2014 | 63 | |
| 14 | 2016 | 63 | |
| 15 | 2018 | 57 | |
| 16 | 2017 | 56 | |
| 17 | 2006 | 54 | |
| 18 | 2013 | 51 | |
| 19 | 2018 | 47 | |
| 20 | 2021 | 45 |
About Jun Yang
Jun Yang is a scholar working on Signal Processing, Biomedical Engineering, Computational Mechanics, Electrical and Electronic Engineering and Aerospace Engineering, having authored 456 papers that have together received 5.0k indexed citations. Recurring topics across this work include Speech and Audio Processing (168 papers), Acoustic Wave Phenomena Research (147 papers), Advanced Adaptive Filtering Techniques (133 papers), Blind Source Separation Techniques (40 papers), Hearing Loss and Rehabilitation (34 papers), Metamaterials and Metasurfaces Applications (32 papers), Ultrasonics and Acoustic Wave Propagation (20 papers) and Aerodynamics and Acoustics in Jet Flows (20 papers). The work is most often cited by research in Signal Processing (1.7k citations), Computational Mechanics (1.4k citations), Speech and Hearing (357 citations), Biomedical Engineering (2.4k citations) and Electronic, Optical and Magnetic Materials (631 citations). Jun Yang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Feiran Yang, Ming Wu, Woon‐Seng Gan, Yuzhen Yang, Bin Liang, Jian‐Chun Cheng, Gengkai Hu, Han Jia, Tomoo Kamakura and L. Jay Guo. Their work appears in journals such as The Journal of the Acoustical Society of America, Applied Acoustics, IEEE Signal Processing Letters, Journal of Sound and Vibration and Applied Sciences.
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.