Tongfei Chen
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech Recognition and Synthesis
- Advanced Text Analysis Techniques
- Speech and dialogue systems
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
-
- Natural Language Processing Techniques 10
- Topic Modeling 9
- Speech and dialogue systems 3
- Semantic Web and Ontologies 2
- Speech Recognition and Synthesis 2
-
- Multimodal Machine Learning Applications 2
- Co-authors
- Benjamin Van Durme (7 shared papers)Yiming Wang (2 shared papers)Sanjeev Khudanpur (2 shared papers)Patrick Xia (2 shared papers)Huda Khayrallah (1 shared paper)J. Edward Hu (1 shared paper)Matt Post (1 shared paper)Aaron Steven White (2 shared papers)
- Journals
- IEEE Access (1 paper)International Journal of Biological Macromolecules (1 paper)Journal of Statistical Mechanics Theory and Experiment (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Tongfei Chen
12 papers receiving 235 citations
Peers
Comparison fields: 5 of 31
- Artificial Intelligence 240
- Signal Processing 60
- Computer Vision and Pattern Recognition 43
- Information Systems 25
- Management Science and Operations Research 6
Countries citing papers authored by Tongfei Chen
This map shows the geographic impact of Tongfei Chen'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 Tongfei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tongfei Chen more than expected).
Fields of papers citing papers by Tongfei Chen
This network shows the impact of papers produced by Tongfei Chen. 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 Tongfei Chen. The network helps show where Tongfei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Tongfei Chen, 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 | 2019 | 62 | |
| 2 | 2018 | 57 | |
| 3 | 2019 | 40 | |
| 4 | 2020 | 32 | |
| 5 | 2017 | 11 | |
| 6 | 2024 | 11 | |
| 7 | 2019 | 11 | |
| 8 | 2021 | 11 | |
| 9 | 2020 | 10 | |
| 10 | 2019 | 7 | |
| 11 | 2015 | 5 | |
| 12 | 2018 | 2 | |
| 13 | 2023 | 0 |
About Tongfei Chen
Tongfei Chen is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Statistical and Nonlinear Physics and Electrical and Electronic Engineering, having authored 13 papers that have together received 259 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (10 papers), Topic Modeling (9 papers), Speech and dialogue systems (3 papers), Semantic Web and Ontologies (2 papers), Speech Recognition and Synthesis (2 papers), Multimodal Machine Learning Applications (2 papers), Optical Wireless Communication Technologies (1 paper) and Advanced Optical Network Technologies (1 paper). The work is most often cited by research in Artificial Intelligence (240 citations), Signal Processing (60 citations), Computer Vision and Pattern Recognition (43 citations), Information Systems (25 citations) and Management Science and Operations Research (6 citations). Tongfei Chen has collaborated with scholars based in United States and China. Frequent co-authors include Benjamin Van Durme, Yiming Wang, Sanjeev Khudanpur, Patrick Xia, Huda Khayrallah, J. Edward Hu, Matt Post, Aaron Steven White, Nagendra Kumar Goel and Hainan Xu. Their work appears in journals such as IEEE Access, International Journal of Biological Macromolecules and Journal of Statistical Mechanics Theory and Experiment.
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.