Raphael Tang
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Topic Modeling 15
- Natural Language Processing Techniques 10
- Speech Recognition and Synthesis 7
- Speech and dialogue systems 3
- Machine Learning and Data Classification 3
- Advanced Text Analysis Techniques 2
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- Music and Audio Processing 6
- Co-authors
- Jimmy Lin (22 shared papers)Ji Xin (7 shared papers)Yaoliang Yu (4 shared papers)Jaejun Lee (4 shared papers)Achyudh Ram (2 shared papers)Ashutosh Adhikari (2 shared papers)Zhiying Jiang (4 shared papers)Ferhan Türe (5 shared papers)
- Journals
- ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)arXiv (Cornell University) (1 paper)Research at the University of Copenhagen (University of Copenhagen) (2 papers)
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Raphael Tang
25 papers receiving 599 citations
Peers
Comparison fields: 5 of 82
- Artificial Intelligence 497
- Signal Processing 134
- Computer Vision and Pattern Recognition 178
- Health Informatics 4
- Information Systems 54
Countries citing papers authored by Raphael Tang
This map shows the geographic impact of Raphael Tang'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 Raphael Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphael Tang more than expected).
Fields of papers citing papers by Raphael Tang
This network shows the impact of papers produced by Raphael Tang. 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 Raphael Tang. The network helps show where Raphael Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphael Tang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 167 | |
| 2 | 2018 | 135 | |
| 3 | 2019 | 58 | |
| 4 | 2021 | 52 | |
| 5 | 2023 | 45 | |
| 6 | 2020 | 30 | |
| 7 | 2018 | 29 | |
| 8 | 2021 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2020 | 14 | |
| 11 | 2019 | 11 | |
| 12 | 2020 | 10 | |
| 13 | 2022 | 8 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 5 | |
| 16 | 2019 | 4 | |
| 17 | 2019 | 3 | |
| 18 | 2021 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 2 |
About Raphael Tang
Raphael Tang is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Management Science and Operations Research, having authored 25 papers that have together received 637 indexed citations. Recurring topics across this work include Topic Modeling (15 papers), Natural Language Processing Techniques (10 papers), Speech Recognition and Synthesis (7 papers), Music and Audio Processing (6 papers), Multimodal Machine Learning Applications (4 papers), Speech and dialogue systems (3 papers), Machine Learning and Data Classification (3 papers) and Advanced Text Analysis Techniques (2 papers). The work is most often cited by research in Artificial Intelligence (497 citations), Signal Processing (134 citations), Computer Vision and Pattern Recognition (178 citations), Health Informatics (4 citations) and Information Systems (54 citations). Raphael Tang has collaborated with scholars based in Canada, United States and South Korea. Frequent co-authors include Jimmy Lin, Ji Xin, Yaoliang Yu, Jaejun Lee, Achyudh Ram, Ashutosh Adhikari, Zhiying Jiang, Ferhan Türe, Linqing Liu and Pontus Stenetorp. Their work appears in journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), arXiv (Cornell University) and Research at the University of Copenhagen (University of Copenhagen).
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.