Raphael Tang
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Text and Document Classification Technologies
- Signal Processing top 5%
- Music and Audio Processing
- Speech and Audio Processing
Papers in
-
- Topic Modeling 16
- Natural Language Processing Techniques 11
- Speech Recognition and Synthesis 7
- Machine Learning and Data Classification 3
- Speech and dialogue systems 3
- Adversarial Robustness in Machine Learning 2
-
- Music and Audio Processing 6
- Co-authors
- Jimmy Lin (23 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
- Lecture notes in computer science (1 paper)Research at the University of Copenhagen (University of Copenhagen) (2 papers)UWSpace (University of Waterloo) (1 paper)arXiv (Cornell University) (1 paper)ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (1 paper)
- Partner nations
- CanadaUnited StatesSouth Korea
In The Last Decade
Raphael Tang
27 papers receiving 683 citations
Peers
Comparison fields: 5 of 84
- Artificial Intelligence 559
- Signal Processing 144
- Computer Vision and Pattern Recognition 204
- Health Informatics 4
- Information Systems 59
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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 185 | |
| 2 | 2018 | 145 | |
| 3 | 2019 | 62 | |
| 4 | 2023 | 61 | |
| 5 | 2021 | 59 | |
| 6 | 2020 | 34 | |
| 7 | 2018 | 29 | |
| 8 | 2021 | 27 | |
| 9 | 2023 | 27 | |
| 10 | 2020 | 15 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2024 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2021 | 6 | |
| 17 | 2019 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2019 | 3 |
About Raphael Tang
Raphael Tang is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Management Science and Operations Research and Information Systems, having authored 27 papers that have together received 724 indexed citations. Recurring topics across this work include Topic Modeling (16 papers), Natural Language Processing Techniques (11 papers), Speech Recognition and Synthesis (7 papers), Music and Audio Processing (6 papers), Multimodal Machine Learning Applications (4 papers), Machine Learning and Data Classification (3 papers), Speech and dialogue systems (3 papers) and Adversarial Robustness in Machine Learning (2 papers). The work is most often cited by research in Artificial Intelligence (559 citations), Signal Processing (144 citations), Computer Vision and Pattern Recognition (204 citations), Health Informatics (4 citations) and Information Systems (59 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 Lecture notes in computer science, Research at the University of Copenhagen (University of Copenhagen), UWSpace (University of Waterloo), arXiv (Cornell University) and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
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.