Che-Wei Huang
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
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- Emotion and Mood Recognition
Papers in
-
- Speech Recognition and Synthesis 6
- Text and Document Classification Technologies 3
- Neural Networks and Applications 2
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- Music and Audio Processing 6
- Speech and Audio Processing 6
- Co-authors
- Shrikanth Narayanan (11 shared papers)Kuan-Ta Chen (3 shared papers)Vincent S. Tseng (3 shared papers)Josh Jia-Ching Ying (3 shared papers)Roland Maas (3 shared papers)Chih‐Ting Lin (3 shared papers)Zac E. Imel (1 shared paper)Panayiotis Georgiou (2 shared papers)
- Journals
- ACM Transactions on Knowledge Discovery from Data (1 paper)IEEE Sensors Journal (1 paper)PeerJ Computer Science (1 paper)Sensors (1 paper)IEEE Transactions on Biomedical Circuits and Systems (1 paper)
- Partner nations
- United StatesTaiwanAustralia
In The Last Decade
Che-Wei Huang
22 papers receiving 343 citations
Peers
Comparison fields: 5 of 74
- Signal Processing 143
- Experimental and Cognitive Psychology 125
- Artificial Intelligence 178
- Applied Psychology 21
- Bioengineering 17
Countries citing papers authored by Che-Wei Huang
This map shows the geographic impact of Che-Wei Huang'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 Che-Wei Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Che-Wei Huang more than expected).
Fields of papers citing papers by Che-Wei Huang
This network shows the impact of papers produced by Che-Wei Huang. 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 Che-Wei Huang. The network helps show where Che-Wei Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Che-Wei Huang, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 92 | |
| 2 | 2016 | 64 | |
| 3 | 2016 | 39 | |
| 4 | 2015 | 34 | |
| 5 | 2020 | 27 | |
| 6 | 2013 | 25 | |
| 7 | 2019 | 16 | |
| 8 | 2015 | 15 | |
| 9 | 2018 | 9 | |
| 10 | 2010 | 9 | |
| 11 | 2012 | 6 | |
| 12 | 2021 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2016 | 4 | |
| 15 | 2016 | 3 | |
| 16 | 2016 | 3 | |
| 17 | 2014 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2016 | 2 | |
| 20 | 2018 | 2 |
About Che-Wei Huang
Che-Wei Huang is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Biomedical Engineering and Information Systems, having authored 22 papers that have together received 367 indexed citations. Recurring topics across this work include Music and Audio Processing (6 papers), Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (6 papers), Emotion and Mood Recognition (4 papers), Spam and Phishing Detection (3 papers), Text and Document Classification Technologies (3 papers), Advanced Chemical Sensor Technologies (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (143 citations), Experimental and Cognitive Psychology (125 citations), Artificial Intelligence (178 citations), Applied Psychology (21 citations) and Bioengineering (17 citations). Che-Wei Huang has collaborated with scholars based in United States, Taiwan and Australia. Frequent co-authors include Shrikanth Narayanan, Kuan-Ta Chen, Vincent S. Tseng, Josh Jia-Ching Ying, Roland Maas, Chih‐Ting Lin, Zac E. Imel, Panayiotis Georgiou, David C. Atkins and Sri Harish Mallidi. Their work appears in journals such as ACM Transactions on Knowledge Discovery from Data, IEEE Sensors Journal, PeerJ Computer Science, Sensors and IEEE Transactions on Biomedical Circuits and Systems.
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.