Yung-Sung Chuang
- Artificial Intelligence top 2%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 10%
- Experimental and Cognitive Psychology
- Electrical and Electronic Engineering
- Co-authors
- Hung-yi LeeShang-Wen LiCheng-I LaiGuan-Ting LinXuankai ChangPo-Han ChiShinji WatanabeAbdelrahman Mohamed
- Topics
- Natural Language Processing Techniques (15 papers)Topic Modeling (13 papers)Speech Recognition and Synthesis (8 papers)
- Journals
- IEEE Transactions on Energy ConversionJournal of marine science and technologyACM Transactions on Asian and Low-Resource Language Information Processing
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Yung-Sung Chuang
31 papers receiving 741 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 643
- Signal Processing 269
- Computer Vision and Pattern Recognition 100
- Experimental and Cognitive Psychology 66
- Electrical and Electronic Engineering 29
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 of co-authors of Yung-Sung Chuang
This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Sung Chuang. A scholar is included among the top collaborators of Yung-Sung Chuang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yung-Sung Chuang. Yung-Sung Chuang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 3 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 4 | |
| 8 | 90 | |
| 9 | 3 | |
| 10 | 10 | |
| 11 | 13 | |
| 12 | 10 | |
| 13 | SUPERB: Speech Processing Universal PERformance Benchmarkbreakdown → | 409 |
| 14 | 58 | |
| 15 | 25 | |
| 16 | SpeechBERT: Cross-Modal Pre-trained Language Model for End-to-end Spoken Question Answering. | 11 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 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) and Speech Recognition and Synthesis (8 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.