Bei Chen
Impact in
- Process Chemistry and Technology top 10%
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Speech and dialogue systems
Papers in
-
- Topic Modeling 22
- Natural Language Processing Techniques 16
-
- Photonic and Optical Devices 28
- Optical Network Technologies 12
- Advanced Photonic Communication Systems 10
- Co-authors
- Jian–Guang Lou (19 shared papers)Dongmei Zhang (12 shared papers)Steven S. C. Chuang (2 shared papers)Bin Zhou (4 shared papers)Qian Liu (3 shared papers)Jianbo Wang (6 shared papers)Edwin Yue‐Bun Pun (16 shared papers)Lipei Ren (3 shared papers)
- Journals
- IEEE Photonics Technology Letters (14 papers)IEEE photonics journal (4 papers)Journal of Lightwave Technology (4 papers)Journal of the American Ceramic Society (4 papers)The Journal of Organic Chemistry (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Bei Chen
144 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 136
- Process Chemistry and Technology 62
- Artificial Intelligence 413
- Water Science and Technology 128
- Software 37
- Organic Chemistry 206
Countries citing papers authored by Bei Chen
This map shows the geographic impact of Bei 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 Bei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bei Chen more than expected).
Fields of papers citing papers by Bei Chen
This network shows the impact of papers produced by Bei 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 Bei Chen. The network helps show where Bei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Bei 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
Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 102 | |
| 2 | 2020 | 97 | |
| 3 | 2021 | 79 | |
| 4 | 2023 | 75 | |
| 5 | 2023 | 48 | |
| 6 | 2022 | 46 | |
| 7 | 2022 | 42 | |
| 8 | 2022 | 40 | |
| 9 | 1998 | 40 | |
| 10 | 2023 | 37 | |
| 11 | 2003 | 37 | |
| 12 | 2022 | 36 | |
| 13 | 2005 | 34 | |
| 14 | 2020 | 33 | |
| 15 | 2015 | 32 | |
| 16 | 2005 | 31 | |
| 17 | 2003 | 30 | |
| 18 | 2001 | 28 | |
| 19 | 2024 | 26 | |
| 20 | 2022 | 26 |
About Bei Chen
Bei Chen is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Computer Vision and Pattern Recognition and Ceramics and Composites, having authored 155 papers that have together received 1.7k indexed citations. Recurring topics across this work include Photonic and Optical Devices (28 papers), Topic Modeling (22 papers), Advanced Fiber Laser Technologies (20 papers), Natural Language Processing Techniques (16 papers), Photorefractive and Nonlinear Optics (15 papers), Optical Network Technologies (12 papers), Advanced Photonic Communication Systems (10 papers) and Multimodal Machine Learning Applications (8 papers). The work is most often cited by research in Process Chemistry and Technology (62 citations), Artificial Intelligence (413 citations), Water Science and Technology (128 citations), Software (37 citations) and Organic Chemistry (206 citations). Bei Chen has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jian–Guang Lou, Dongmei Zhang, Steven S. C. Chuang, Bin Zhou, Qian Liu, Jianbo Wang, Edwin Yue‐Bun Pun, Lipei Ren, Xingfang Xiao and Weilin Xu. Their work appears in journals such as IEEE Photonics Technology Letters, IEEE photonics journal, Journal of Lightwave Technology, Journal of the American Ceramic Society and The Journal of Organic Chemistry.
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.