Feiran Yang
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Music and Audio Processing
- Computational Mechanics top 2%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Speech and Audio Processing 66
- Blind Source Separation Techniques 33
- Music and Audio Processing 10
-
- Advanced Adaptive Filtering Techniques 52
- Co-authors
- Jun Yang (64 shared papers)Ming Wu (5 shared papers)Gerald Enzner (6 shared papers)Felix Albu (3 shared papers)Yin Cao (5 shared papers)Peifeng Ji (4 shared papers)Ming Wu (1 shared paper)Rui Zhu (4 shared papers)
- Journals
- IEEE Signal Processing Letters (10 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (8 papers)The Journal of the Acoustical Society of America (6 papers)Applied Acoustics (4 papers)Signal Processing (4 papers)
- Partner nations
- ChinaGermanyUnited Kingdom
In The Last Decade
Feiran Yang
70 papers receiving 730 citations
Peers
Comparison fields: 5 of 46
- Signal Processing 598
- Computational Mechanics 557
- Cognitive Neuroscience 83
- Biomedical Engineering 185
- Computer Vision and Pattern Recognition 63
Countries citing papers authored by Feiran Yang
This map shows the geographic impact of Feiran 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 Feiran Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feiran Yang more than expected).
Fields of papers citing papers by Feiran Yang
This network shows the impact of papers produced by Feiran 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 Feiran Yang. The network helps show where Feiran Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Feiran 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 81 | |
| 2 | 2020 | 76 | |
| 3 | 2012 | 35 | |
| 4 | 2017 | 34 | |
| 5 | 2018 | 31 | |
| 6 | 2019 | 23 | |
| 7 | 2017 | 23 | |
| 8 | 2022 | 21 | |
| 9 | 2012 | 21 | |
| 10 | 2019 | 20 | |
| 11 | 2014 | 20 | |
| 12 | 2015 | 20 | |
| 13 | 2013 | 19 | |
| 14 | 2015 | 17 | |
| 15 | 2018 | 15 | |
| 16 | 2022 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2019 | 14 | |
| 19 | 2015 | 13 | |
| 20 | 2023 | 13 |
About Feiran Yang
Feiran Yang is a scholar working on Signal Processing, Computational Mechanics, Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence, having authored 74 papers that have together received 745 indexed citations. Recurring topics across this work include Speech and Audio Processing (66 papers), Advanced Adaptive Filtering Techniques (52 papers), Blind Source Separation Techniques (33 papers), Acoustic Wave Phenomena Research (11 papers), Music and Audio Processing (10 papers), Speech Recognition and Synthesis (7 papers), Hearing Loss and Rehabilitation (6 papers) and Music Technology and Sound Studies (5 papers). The work is most often cited by research in Signal Processing (598 citations), Computational Mechanics (557 citations), Cognitive Neuroscience (83 citations), Biomedical Engineering (185 citations) and Computer Vision and Pattern Recognition (63 citations). Feiran Yang has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Jun Yang, Ming Wu, Gerald Enzner, Felix Albu, Yin Cao, Peifeng Ji, Ming Wu, Rui Zhu, Junfeng Li and Ming Wu. Their work appears in journals such as IEEE Signal Processing Letters, IEEE/ACM Transactions on Audio Speech and Language Processing, The Journal of the Acoustical Society of America, Applied Acoustics and Signal 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.