Shu-Wen Yang
- Signal Processing top 2%
- Music and Audio Processing 5
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 9
- Natural Language Processing Techniques 7
- Topic Modeling 4
- Organic Chemistry top 10%
- Radical Photochemical Reactions 4
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- Luminescence and Fluorescent Materials 5
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- Molecular Junctions and Nanostructures 4
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- Conducting polymers and applications 4
- Co-authors
- Tong‐Ing HoArumugasamy ElangovanHung-yi LeeShinji WatanabeZili HuangKuo‐Chu HwangAndy T. LiuXuankai Chang
- Journals
- The Journal of Physical Chemistry B (4 papers)The Journal of Organic Chemistry (4 papers)Experimental Neurology (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shu-Wen Yang
25 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Signal Processing 374
- Artificial Intelligence 529
- Physical and Theoretical Chemistry 88
- Organic Chemistry 182
- Experimental and Cognitive Psychology 74
Countries citing papers authored by Shu-Wen Yang
This map shows the geographic impact of Shu-Wen Yang'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 Shu-Wen Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu-Wen Yang more than expected).
Fields of papers citing papers by Shu-Wen Yang
This network shows the impact of papers produced by Shu-Wen Yang. 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 Shu-Wen Yang. The network helps show where Shu-Wen Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shu-Wen Yang, 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 | 2025 | 0 | |
| 2 | 2025 | 4 | |
| 3 | 2023 | 15 | |
| 4 | 2022 | 60 | |
| 5 | 2022 | 4 | |
| 6 | 2022 | 44 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 23 | |
| 9 | SUPERB: Speech Processing Universal PERformance Benchmarkbreakdown → | 2021 | 409 |
| 10 | 2021 | 32 | |
| 11 | 2020 | 26 | |
| 12 | 2006 | 11 | |
| 13 | 2005 | 10 | |
| 14 | 2005 | 15 | |
| 15 | 2005 | 111 | |
| 16 | 2005 | 52 | |
| 17 | 2005 | 36 | |
| 18 | 2005 | 12 | |
| 19 | 2004 | 52 | |
| 20 | 2004 | 39 |
About Shu-Wen Yang
Shu-Wen Yang is a scholar working on Signal Processing, Electrochemistry and Artificial Intelligence, having authored 26 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (9 papers), Natural Language Processing Techniques (7 papers), Music and Audio Processing (5 papers), Luminescence and Fluorescent Materials (5 papers), Molecular Junctions and Nanostructures (4 papers), Topic Modeling (4 papers), Radical Photochemical Reactions (4 papers) and Conducting polymers and applications (4 papers). The work is most often cited by research in Signal Processing (374 citations), Artificial Intelligence (529 citations) and Physical and Theoretical Chemistry (88 citations). Shu-Wen Yang has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Tong‐Ing Ho, Arumugasamy Elangovan, Hung-yi Lee, Shinji Watanabe, Zili Huang, Kuo‐Chu Hwang, Andy T. Liu, Xuankai Chang, Abdelrahman Mohamed and Jiatong Shi. Their work appears in journals such as The Journal of Physical Chemistry B, The Journal of Organic Chemistry and Experimental Neurology.
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.