Hsin-Te Hwang
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
Papers in
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- Speech and Audio Processing 15
- Music and Audio Processing 9
- Blind Source Separation Techniques 1
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- Speech Recognition and Synthesis 14
- Natural Language Processing Techniques 1
- Co-authors
- Yu Tsao (16 shared papers)Hsin‐Min Wang (15 shared papers)Yi-Chiao Wu (8 shared papers)Chin-Cheng Hsu (5 shared papers)Wen-Chin Huang (3 shared papers)Sin‐Horng Chen (4 shared papers)Yuhuai Peng (3 shared papers)Yih‐Ru Wang (4 shared papers)
- Journals
- arXiv (Cornell University) (2 papers)
- Partner nations
- TaiwanJapanUnited States
In The Last Decade
Hsin-Te Hwang
16 papers receiving 255 citations
Peers
Comparison fields: 5 of 28
- Signal Processing 261
- Artificial Intelligence 262
- Computer Vision and Pattern Recognition 35
- Computational Mechanics 17
- Experimental and Cognitive Psychology 9
Countries citing papers authored by Hsin-Te Hwang
This map shows the geographic impact of Hsin-Te Hwang'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 Hsin-Te Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsin-Te Hwang more than expected).
Fields of papers citing papers by Hsin-Te Hwang
This network shows the impact of papers produced by Hsin-Te Hwang. 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 Hsin-Te Hwang. The network helps show where Hsin-Te Hwang may publish in the future.
Co-authors
The 18 scholars most cited alongside Hsin-Te Hwang, 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 | 164 | |
| 2 | 2018 | 30 | |
| 3 | 2016 | 20 | |
| 4 | 2013 | 13 | |
| 5 | 2015 | 13 | |
| 6 | 2019 | 11 | |
| 7 | 2015 | 7 | |
| 8 | 2013 | 6 | |
| 9 | 2018 | 6 | |
| 10 | 2012 | 6 | |
| 11 | 2016 | 3 | |
| 12 | 2014 | 2 | |
| 13 | 2017 | 2 | |
| 14 | 2017 | 2 | |
| 15 | 2019 | 1 | |
| 16 | 2018 | 1 |
About Hsin-Te Hwang
Hsin-Te Hwang is a scholar working on Signal Processing, Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Mechanics and Cognitive Neuroscience, having authored 16 papers that have together received 287 indexed citations. Recurring topics across this work include Speech and Audio Processing (15 papers), Speech Recognition and Synthesis (14 papers), Music and Audio Processing (9 papers), Advanced Adaptive Filtering Techniques (3 papers), Advanced Data Compression Techniques (3 papers), Natural Language Processing Techniques (1 paper), Blind Source Separation Techniques (1 paper) and Hearing Loss and Rehabilitation (1 paper). The work is most often cited by research in Signal Processing (261 citations), Artificial Intelligence (262 citations), Computer Vision and Pattern Recognition (35 citations), Computational Mechanics (17 citations) and Experimental and Cognitive Psychology (9 citations). Hsin-Te Hwang has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Yu Tsao, Hsin‐Min Wang, Yi-Chiao Wu, Chin-Cheng Hsu, Wen-Chin Huang, Sin‐Horng Chen, Yuhuai Peng, Yih‐Ru Wang, Xugang Lu and Syu‐Siang Wang. Their work appears in journals such as arXiv (Cornell University).
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.