Jui-Ting Huang
- Signal Processing top 1%
- Speech and Audio Processing 11
- Music and Audio Processing 10
- Artificial Intelligence top 1%
- Speech Recognition and Synthesis 14
- Natural Language Processing Techniques 3
- Topic Modeling 2
- Speech and dialogue systems 1
- Media Technology top 10%
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- Ear Surgery and Otitis Media 1
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- Advancements in Solid Oxide Fuel Cells 1
- Journals
- Biomedical Journal (1 paper)Journal of Power Sources (1 paper)The Journal of the Acoustical Society of America (1 paper)
- Partner nations
- United StatesUnited KingdomTaiwan
In The Last Decade
Jui-Ting Huang
17 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 118
- Signal Processing 650
- Artificial Intelligence 985
- Computer Vision and Pattern Recognition 281
- Media Technology 47
- Experimental and Cognitive Psychology 54
Countries citing papers authored by Jui-Ting Huang
This map shows the geographic impact of Jui-Ting 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 Jui-Ting Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jui-Ting Huang more than expected).
Fields of papers citing papers by Jui-Ting Huang
This network shows the impact of papers produced by Jui-Ting 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 Jui-Ting Huang. The network helps show where Jui-Ting Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jui-Ting 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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 5 | |
| 2 | 2015 | 91 | |
| 3 | 2014 | 173 | |
| 4 | 2014 | 32 | |
| 5 | 2014 | 34 | |
| 6 | Cross-language knowledge transfer using multilingual deep neural network with shared hidden layersbreakdown → | 2013 | 400 |
| 7 | Recent advances in deep learning for speech research at Microsoftbreakdown → | 2013 | 510 |
| 8 | 2013 | 5 | |
| 9 | 2012 | 8 | |
| 10 | 2012 | 78 | |
| 11 | 2011 | 0 | |
| 12 | 2010 | 37 | |
| 13 | 2010 | 8 | |
| 14 | 2009 | 1 | |
| 15 | 2009 | 8 | |
| 16 | 2006 | 3 | |
| 17 | 2006 | 5 | |
| 18 | 2005 | 37 |
About Jui-Ting Huang
Jui-Ting Huang is a scholar working on Signal Processing, Artificial Intelligence, Otorhinolaryngology, Biophysics and Media Technology, having authored 18 papers that have together received 1.4k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (11 papers), Music and Audio Processing (10 papers), Natural Language Processing Techniques (3 papers), Topic Modeling (2 papers), Speech and dialogue systems (1 paper), Ear Surgery and Otitis Media (1 paper) and Advancements in Solid Oxide Fuel Cells (1 paper). The work is most often cited by research in Signal Processing (650 citations), Artificial Intelligence (985 citations), Computer Vision and Pattern Recognition (281 citations), Media Technology (47 citations) and Experimental and Cognitive Psychology (54 citations). Jui-Ting Huang has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Jinyu Li, Dong Yu, Yifan Gong, Li Deng, Yifan Gong, Alex Acero, Rui Zhao, Xiaodong He, J. D. Williams and Michael L. Seltzer. Their work appears in journals such as Biomedical Journal, Journal of Power Sources, The Journal of the Acoustical Society of America, Edinburgh Research Explorer and NTUR (臺灣機構典藏).
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.