Shang‐Yu Su
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Speech and dialogue systems
- Natural Language Processing Techniques
- Domain Adaptation and Few-Shot Learning
- AI in Service Interactions
- Sentiment Analysis and Opinion Mining
- Reinforcement Learning in Robotics
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- Multimodal Machine Learning Applications
Papers in
-
- Topic Modeling 14
- Speech and dialogue systems 12
- Natural Language Processing Techniques 9
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- Multimodal Machine Learning Applications 4
- Generative Adversarial Networks and Image Synthesis 2
- Co-authors
- Yun-Nung Chen (16 shared papers)Yung-Sung Chuang (2 shared papers)Jianfeng Gao (1 shared paper)Xiujun Li (1 shared paper)Jingjing Liu (1 shared paper)Po-Chun Chen (1 shared paper)Po‐Chun Chen (1 shared paper)Chin H. Chen (2 shared papers)
- Journals
- Computer Speech & Language (3 papers)Journal of the Society for Information Display (2 papers)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)SID Symposium Digest of Technical Papers (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Shang‐Yu Su
17 papers receiving 150 citations
Peers
Comparison fields: 5 of 29
- Artificial Intelligence 136
- Computer Vision and Pattern Recognition 38
- Health Informatics 1
- Signal Processing 5
- Transportation 2
Countries citing papers authored by Shang‐Yu Su
This map shows the geographic impact of Shang‐Yu Su'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 Shang‐Yu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shang‐Yu Su more than expected).
Fields of papers citing papers by Shang‐Yu Su
This network shows the impact of papers produced by Shang‐Yu Su. 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 Shang‐Yu Su. The network helps show where Shang‐Yu Su may publish in the future.
Co-authors
The 14 scholars most cited alongside Shang‐Yu Su, 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 | 2018 | 41 | |
| 2 | 2018 | 28 | |
| 3 | 2020 | 25 | |
| 4 | 2020 | 17 | |
| 5 | 2017 | 11 | |
| 6 | Speaker Role Contextual Modeling for Language Understanding and Dialogue Policy Learning | 2017 | 6 |
| 7 | 2009 | 5 | |
| 8 | 2018 | 5 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 3 | |
| 11 | Learning Context-Sensitive Time-Decay Attention for Role-Based Dialogue Modeling. | 2018 | 2 |
| 12 | 2019 | 2 | |
| 13 | 2019 | 2 | |
| 14 | 2022 | 1 | |
| 15 | 2019 | 1 | |
| 16 | 2009 | 1 | |
| 17 | 2020 | 1 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 |
About Shang‐Yu Su
Shang‐Yu Su is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Signal Processing and Polymers and Plastics, having authored 19 papers that have together received 155 indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Speech and dialogue systems (12 papers), Natural Language Processing Techniques (9 papers), Multimodal Machine Learning Applications (4 papers), Organic Light-Emitting Diodes Research (3 papers), Organic Electronics and Photovoltaics (2 papers), Thin-Film Transistor Technologies (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in Artificial Intelligence (136 citations), Computer Vision and Pattern Recognition (38 citations), Health Informatics (1 citation), Signal Processing (5 citations) and Transportation (2 citations). Shang‐Yu Su has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Yun-Nung Chen, Yung-Sung Chuang, Jianfeng Gao, Xiujun Li, Jingjing Liu, Po-Chun Chen, Po‐Chun Chen, Chin H. Chen, Chen‐Yu Lin and Kuan‐Hung Lin. Their work appears in journals such as Computer Speech & Language, Journal of the Society for Information Display, IEEE/ACM Transactions on Audio Speech and Language Processing, SID Symposium Digest of Technical Papers and 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.