Lifa Sun
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 13
- Speech and dialogue systems 2
-
- Speech and Audio Processing 9
- Music and Audio Processing 6
- Co-authors
- Helen Meng (12 shared papers)Shiyin Kang (5 shared papers)Kun Li (2 shared papers)Hao Wang (1 shared paper)Xixin Wu (9 shared papers)Xunying Liu (9 shared papers)Songxiang Liu (8 shared papers)Disong Wang (5 shared papers)
- Journals
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)Microelectronics Journal (1 paper)
- Partner nations
- Hong KongUnited KingdomChina
In The Last Decade
Lifa Sun
14 papers receiving 484 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 454
- Artificial Intelligence 509
- Experimental and Cognitive Psychology 47
- Computer Vision and Pattern Recognition 66
- Physiology 78
Countries citing papers authored by Lifa Sun
This map shows the geographic impact of Lifa Sun'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 Lifa Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lifa Sun more than expected).
Fields of papers citing papers by Lifa Sun
This network shows the impact of papers produced by Lifa Sun. 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 Lifa Sun. The network helps show where Lifa Sun may publish in the future.
Co-authors
The 25 scholars most cited alongside Lifa Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 203 | |
| 2 | 2015 | 173 | |
| 3 | 2016 | 40 | |
| 4 | 2018 | 35 | |
| 5 | 2021 | 24 | |
| 6 | 2020 | 22 | |
| 7 | 2020 | 20 | |
| 8 | 2023 | 10 | |
| 9 | 2019 | 8 | |
| 10 | 2018 | 7 | |
| 11 | 2021 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2018 | 3 | |
| 14 | 2022 | 3 |
About Lifa Sun
Lifa Sun is a scholar working on Artificial Intelligence, Signal Processing, Physiology, Computer Vision and Pattern Recognition and Experimental and Cognitive Psychology, having authored 14 papers that have together received 557 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (13 papers), Speech and Audio Processing (9 papers), Music and Audio Processing (6 papers), Voice and Speech Disorders (4 papers), Phonetics and Phonology Research (2 papers), Advanced Data Compression Techniques (2 papers), Speech and dialogue systems (2 papers) and Chaos-based Image/Signal Encryption (1 paper). The work is most often cited by research in Signal Processing (454 citations), Artificial Intelligence (509 citations), Experimental and Cognitive Psychology (47 citations), Computer Vision and Pattern Recognition (66 citations) and Physiology (78 citations). Lifa Sun has collaborated with scholars based in Hong Kong, United Kingdom and China. Frequent co-authors include Helen Meng, Shiyin Kang, Kun Li, Hao Wang, Xixin Wu, Xunying Liu, Songxiang Liu, Disong Wang, Kun Li and Hao Wang. Their work appears in journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) and Microelectronics Journal.
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.