Xiaofei Li
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
- Blind Source Separation Techniques
- Computational Mechanics top 5%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Speech and Audio Processing 60
- Music and Audio Processing 30
- Blind Source Separation Techniques 9
-
- Advanced Adaptive Filtering Techniques 27
- Co-authors
- Radu Horaud (19 shared papers)Hong Liu (10 shared papers)Changsheng Quan (6 shared papers)Laurent Girin (16 shared papers)Xiangdong Su (1 shared paper)Xiang Hao (1 shared paper)Sharon Gannot (10 shared papers)Bing Yang (8 shared papers)
In The Last Decade
Xiaofei Li
60 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 64
- Signal Processing 810
- Computational Mechanics 280
- Artificial Intelligence 355
- Computer Vision and Pattern Recognition 183
- Industrial and Manufacturing Engineering 66
Countries citing papers authored by Xiaofei Li
This map shows the geographic impact of Xiaofei Li'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 Xiaofei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaofei Li more than expected).
Fields of papers citing papers by Xiaofei Li
This network shows the impact of papers produced by Xiaofei Li. 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 Xiaofei Li. The network helps show where Xiaofei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaofei Li, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 153 | |
| 2 | 2017 | 89 | |
| 3 | 2018 | 68 | |
| 4 | 2016 | 47 | |
| 5 | 2016 | 47 | |
| 6 | 2024 | 44 | |
| 7 | 2019 | 39 | |
| 8 | 2017 | 32 | |
| 9 | 2019 | 29 | |
| 10 | 2021 | 24 | |
| 11 | 2015 | 24 | |
| 12 | 2012 | 24 | |
| 13 | 2024 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 2023 | 21 | |
| 16 | 2019 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2016 | 18 | |
| 19 | 2024 | 18 | |
| 20 | 2022 | 18 |
About Xiaofei Li
Xiaofei Li is a scholar working on Signal Processing, Computational Mechanics, Artificial Intelligence, Cognitive Neuroscience and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech and Audio Processing (60 papers), Music and Audio Processing (30 papers), Advanced Adaptive Filtering Techniques (27 papers), Speech Recognition and Synthesis (17 papers), Blind Source Separation Techniques (9 papers), Indoor and Outdoor Localization Technologies (8 papers), Hearing Loss and Rehabilitation (7 papers) and Underwater Acoustics Research (3 papers). The work is most often cited by research in Signal Processing (810 citations), Computational Mechanics (280 citations), Artificial Intelligence (355 citations), Computer Vision and Pattern Recognition (183 citations) and Industrial and Manufacturing Engineering (66 citations). Xiaofei Li has collaborated with scholars based in China, France and Israel. Frequent co-authors include Radu Horaud, Hong Liu, Changsheng Quan, Laurent Girin, Xiangdong Su, Xiang Hao, Sharon Gannot, Bing Yang, Israel D. Gebru and Silèye Ba. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Signal Processing Letters, CAAI Transactions on Intelligence Technology, The Journal of Engineering and IEEE Transactions on Multimedia.
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.