Bei Li
Impact in
- Artificial Intelligence top 5%
- Natural Language Processing Techniques
- Topic Modeling
- Speech Recognition and Synthesis
- Domain Adaptation and Few-Shot Learning
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
Papers in
-
- Natural Language Processing Techniques 19
- Topic Modeling 9
- Speech Recognition and Synthesis 4
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- Medical Image Segmentation Techniques 2
- Advanced Neural Network Applications 2
- Co-authors
- Tong Xiao (23 shared papers)Jingbo Zhu (9 shared papers)Changliang Li (2 shared papers)Qiang Wang (3 shared papers)Lidia Sam Chao (1 shared paper)Derek F. Wong (1 shared paper)Hui Liu (5 shared papers)Jingbo Zhu (12 shared papers)
- Journals
- IEEE Signal Processing Letters (1 paper)IEEE Transactions on Artificial Intelligence (1 paper)Scientific Reports (1 paper)IEEE/ACM Transactions on Audio Speech and Language Processing (1 paper)Pattern Recognition (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Bei Li
34 papers receiving 790 citations
Bei Li's Hit Papers
Peers
Comparison fields: 5 of 66
- Artificial Intelligence 435
- Computer Vision and Pattern Recognition 189
- Signal Processing 31
- Discrete Mathematics and Combinatorics 13
- Information Systems 60
Countries citing papers authored by Bei Li
This map shows the geographic impact of Bei Li'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 Bei Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Li more than expected).
Fields of papers citing papers by Bei Li
This network shows the impact of papers produced by Bei Li. 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 Bei Li. The network helps show where Bei Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei Li, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning Deep Transformer Models for Machine Translation Hit paper breakdown → | 2019 | 484 |
| 2 | 2020 | 47 | |
| 3 | 2018 | 38 | |
| 4 | 2019 | 30 | |
| 5 | 2020 | 26 | |
| 6 | 2016 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 1991 | 21 | |
| 9 | 2022 | 16 | |
| 10 | 2011 | 13 | |
| 11 | 2021 | 12 | |
| 12 | 2024 | 12 | |
| 13 | 2018 | 9 | |
| 14 | 2015 | 6 | |
| 15 | 2019 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2019 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Bei Li
Bei Li is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Human-Computer Interaction, Experimental and Cognitive Psychology and Discrete Mathematics and Combinatorics, having authored 39 papers that have together received 817 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (9 papers), Speech Recognition and Synthesis (4 papers), Medical Image Segmentation Techniques (2 papers), Phonetics and Phonology Research (2 papers), Advanced Neural Network Applications (2 papers), Hand Gesture Recognition Systems (2 papers) and Teleoperation and Haptic Systems (1 paper). The work is most often cited by research in Artificial Intelligence (435 citations), Computer Vision and Pattern Recognition (189 citations), Signal Processing (31 citations), Discrete Mathematics and Combinatorics (13 citations) and Information Systems (60 citations). Bei Li has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Tong Xiao, Jingbo Zhu, Changliang Li, Qiang Wang, Lidia Sam Chao, Derek F. Wong, Hui Liu, Jingbo Zhu, Ching Y. Suen and Ziyang Wang. Their work appears in journals such as IEEE Signal Processing Letters, IEEE Transactions on Artificial Intelligence, Scientific Reports, IEEE/ACM Transactions on Audio Speech and Language Processing and Pattern Recognition.
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.