Ling-Hui Chen
Impact in
- Signal Processing top 2%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
-
- Speech Recognition and Synthesis 19
-
- Speech and Audio Processing 15
- Music and Audio Processing 9
- Co-authors
- Zhen-Hua Ling (18 shared papers)Li-Rong Dai (13 shared papers)Lijuan Liu (4 shared papers)Junichi Yamagishi (3 shared papers)Daisuke Saito (1 shared paper)Fernando Villavicencio (1 shared paper)Zhizheng Wu (1 shared paper)Tomoki Toda (1 shared paper)
- Journals
- IEEE/ACM Transactions on Audio Speech and Language Processing (3 papers)Nature Communications (1 paper)Nature Methods (1 paper)PLoS ONE (1 paper)National Science Review (1 paper)
- Partner nations
- ChinaUnited KingdomSouth Korea
In The Last Decade
Ling-Hui Chen
28 papers receiving 441 citations
Peers
Comparison fields: 5 of 34
- Signal Processing 387
- Artificial Intelligence 398
- Computer Vision and Pattern Recognition 59
- Experimental and Cognitive Psychology 32
- Cognitive Neuroscience 23
Countries citing papers authored by Ling-Hui Chen
This map shows the geographic impact of Ling-Hui Chen'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 Ling-Hui Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling-Hui Chen more than expected).
Fields of papers citing papers by Ling-Hui Chen
This network shows the impact of papers produced by Ling-Hui Chen. 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 Ling-Hui Chen. The network helps show where Ling-Hui Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling-Hui Chen, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 142 | |
| 2 | 2016 | 107 | |
| 3 | 2013 | 46 | |
| 4 | 2015 | 29 | |
| 5 | 2024 | 25 | |
| 6 | 2014 | 21 | |
| 7 | 2012 | 19 | |
| 8 | 2020 | 13 | |
| 9 | 2014 | 12 | |
| 10 | 2014 | 10 | |
| 11 | 2009 | 7 | |
| 12 | 2012 | 6 | |
| 13 | 2014 | 5 | |
| 14 | 2010 | 5 | |
| 15 | 2015 | 5 | |
| 16 | 2016 | 4 | |
| 17 | 2016 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2013 | 2 | |
| 20 | 2024 | 2 |
About Ling-Hui Chen
Ling-Hui Chen is a scholar working on Artificial Intelligence, Signal Processing, Pulmonary and Respiratory Medicine, Management, Monitoring, Policy and Law and Global and Planetary Change, having authored 31 papers that have together received 478 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Speech and Audio Processing (15 papers), Music and Audio Processing (9 papers), Winter Sports Injuries and Performance (5 papers), Fire effects on ecosystems (5 papers), Landslides and related hazards (5 papers), Gene expression and cancer classification (2 papers) and Advanced Data Compression Techniques (2 papers). The work is most often cited by research in Signal Processing (387 citations), Artificial Intelligence (398 citations), Computer Vision and Pattern Recognition (59 citations), Experimental and Cognitive Psychology (32 citations) and Cognitive Neuroscience (23 citations). Ling-Hui Chen has collaborated with scholars based in China, United Kingdom and South Korea. Frequent co-authors include Zhen-Hua Ling, Li-Rong Dai, Lijuan Liu, Junichi Yamagishi, Daisuke Saito, Fernando Villavicencio, Zhizheng Wu, Tomoki Toda, Mirjam Wester and Yan Song. Their work appears in journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, Nature Communications, Nature Methods, PLoS ONE and National Science Review.
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.