S.F. Chen
Impact in
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
- Speech and dialogue systems
- Text and Document Classification Technologies
- Advanced Text Analysis Techniques
- Signal Processing top 10%
- Speech and Audio Processing
- Music and Audio Processing
Papers in
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- Discourse Analysis in Language Studies 3
-
- Topic Modeling 4
- Natural Language Processing Techniques 4
- Speech Recognition and Synthesis 3
- Text Readability and Simplification 1
- Co-authors
- Roni Rosenfeld (1 shared paper)Geoffrey Zweig (2 shared papers)Daniel Povey (2 shared papers)Hagen Soltau (1 shared paper)Lidia Mangu (1 shared paper)George Saon (1 shared paper)Brian E. D. Kingsbury (1 shared paper)Paul S. Cohen (1 shared paper)
- Journals
- IEEE Transactions on Speech and Audio Processing (1 paper)English for Specific Purposes (1 paper)International Journal of Applied Linguistics (1 paper)IEEE Transactions on Audio Speech and Language Processing (1 paper)IRAL - International Review of Applied Linguistics in Language Teaching (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
S.F. Chen
8 papers receiving 278 citations
Peers
Comparison fields: 5 of 53
- Artificial Intelligence 300
- Signal Processing 80
- Computer Vision and Pattern Recognition 28
- Statistics and Probability 7
- Anatomy 1
Countries citing papers authored by S.F. Chen
This map shows the geographic impact of S.F. 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 S.F. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S.F. Chen more than expected).
Fields of papers citing papers by S.F. Chen
This network shows the impact of papers produced by S.F. 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 S.F. Chen. The network helps show where S.F. Chen may publish in the future.
Co-authors
The 11 scholars most cited alongside S.F. 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 | 2000 | 154 | |
| 2 | 2006 | 96 | |
| 3 | 2006 | 39 | |
| 4 | 2004 | 17 | |
| 5 | 2006 | 14 | |
| 6 | 2024 | 7 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 |
About S.F. Chen
S.F. Chen is a scholar working on Literature and Literary Theory, Artificial Intelligence, Developmental and Educational Psychology, History and Philosophy of Science and Signal Processing, having authored 8 papers that have together received 331 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers), Discourse Analysis in Language Studies (3 papers), Speech Recognition and Synthesis (3 papers), Second Language Acquisition and Learning (2 papers), Academic Writing and Publishing (1 paper), Text Readability and Simplification (1 paper) and Writing and Handwriting Education (1 paper). The work is most often cited by research in Artificial Intelligence (300 citations), Signal Processing (80 citations), Computer Vision and Pattern Recognition (28 citations), Statistics and Probability (7 citations) and Anatomy (1 citation). S.F. Chen has collaborated with scholars based in United States and China. Frequent co-authors include Roni Rosenfeld, Geoffrey Zweig, Daniel Povey, Hagen Soltau, Lidia Mangu, George Saon, Brian E. D. Kingsbury, Paul S. Cohen, Benoit Maison and Bowen Zhou. Their work appears in journals such as IEEE Transactions on Speech and Audio Processing, English for Specific Purposes, International Journal of Applied Linguistics, IEEE Transactions on Audio Speech and Language Processing and IRAL - International Review of Applied Linguistics in Language Teaching.
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.