Yung-Sung Chuang
- Signal Processing top 2%
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 15
- Topic Modeling 13
- Speech Recognition and Synthesis 8
- Speech and dialogue systems 3
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- Multimodal Machine Learning Applications 7
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- Power System Optimization and Stability 7
- Optimal Power Flow Distribution 4
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- Power Systems Fault Detection 4
- Co-authors
- Hung-yi LeeShang-Wen LiCheng-I LaiGuan-Ting LinXuankai ChangPo-Han ChiShinji WatanabeAbdelrahman Mohamed
- Journals
- IEEE Transactions on Energy Conversion (1 paper)Journal of marine science and technology (2 papers)ACM Transactions on Asian and Low-Resource Language Information Processing (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Yung-Sung Chuang
31 papers receiving 741 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Signal Processing 269
- Artificial Intelligence 643
- Experimental and Cognitive Psychology 66
- Computer Vision and Pattern Recognition 100
- Nuclear Energy and Engineering 1
Countries citing papers authored by Yung-Sung Chuang
This map shows the geographic impact of Yung-Sung Chuang'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 Yung-Sung Chuang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung-Sung Chuang more than expected).
Fields of papers citing papers by Yung-Sung Chuang
This network shows the impact of papers produced by Yung-Sung Chuang. 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 Yung-Sung Chuang. The network helps show where Yung-Sung Chuang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yung-Sung Chuang, 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 | 2024 | 9 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 90 | |
| 9 | 2022 | 3 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 13 | |
| 12 | 2021 | 10 | |
| 13 | SUPERB: Speech Processing Universal PERformance Benchmarkbreakdown → | 2021 | 409 |
| 14 | 2020 | 58 | |
| 15 | 2020 | 25 | |
| 16 | SpeechBERT: Cross-Modal Pre-trained Language Model for End-to-end Spoken Question Answering. | 2019 | 11 |
| 17 | 2014 | 1 | |
| 18 | 2013 | 2 | |
| 19 | 2006 | 1 | |
| 20 | 2005 | 7 |
About Yung-Sung Chuang
Yung-Sung Chuang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 34 papers that have together received 772 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (15 papers), Topic Modeling (13 papers), Speech Recognition and Synthesis (8 papers), Power System Optimization and Stability (7 papers), Multimodal Machine Learning Applications (7 papers), Optimal Power Flow Distribution (4 papers), Power Systems Fault Detection (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Signal Processing (269 citations), Artificial Intelligence (643 citations) and Experimental and Cognitive Psychology (66 citations). Yung-Sung Chuang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Hung-yi Lee, Shang-Wen Li, Cheng-I Lai, Guan-Ting Lin, Xuankai Chang, Po-Han Chi, Shinji Watanabe, Abdelrahman Mohamed, Shuyan Dong and Jiatong Shi. Their work appears in journals such as IEEE Transactions on Energy Conversion, Journal of marine science and technology and ACM Transactions on Asian and Low-Resource Language Information Processing.
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.