Kejin Wei
Impact in
- Artificial Intelligence top 1%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
- Neural Networks and Reservoir Computing
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- Quantum Mechanics and Applications
- Quantum optics and atomic interactions
Papers in
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- Quantum Information and Cryptography 54
- Quantum Computing Algorithms and Architecture 40
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- Quantum Mechanics and Applications 30
- Quantum optics and atomic interactions 11
- Quantum and electron transport phenomena 4
- Co-authors
- Feihu Xu (10 shared papers)Weijun Zhang (5 shared papers)Lixing You (5 shared papers)Zhenrong Zhang (18 shared papers)Hoi‐Kwong Lo (4 shared papers)Chunfeng Huang (10 shared papers)Jian-Wei Pan (5 shared papers)Hao Li (4 shared papers)
In The Last Decade
Kejin Wei
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 35
- Artificial Intelligence 1.0k
- Atomic and Molecular Physics, and Optics 833
- Acoustics and Ultrasonics 6
- Instrumentation 20
- Computational Theory and Mathematics 51
Countries citing papers authored by Kejin Wei
This map shows the geographic impact of Kejin Wei'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 Kejin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejin Wei more than expected).
Fields of papers citing papers by Kejin Wei
This network shows the impact of papers produced by Kejin Wei. 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 Kejin Wei. The network helps show where Kejin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Kejin Wei, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 158 | |
| 2 | 2019 | 78 | |
| 3 | 2019 | 75 | |
| 4 | 2015 | 63 | |
| 5 | 2016 | 61 | |
| 6 | 2015 | 53 | |
| 7 | 2022 | 48 | |
| 8 | 2021 | 48 | |
| 9 | 2013 | 43 | |
| 10 | 2019 | 36 | |
| 11 | 2022 | 34 | |
| 12 | 2022 | 29 | |
| 13 | 2016 | 29 | |
| 14 | 2023 | 29 | |
| 15 | 2023 | 27 | |
| 16 | 2021 | 22 | |
| 17 | 2016 | 20 | |
| 18 | 2013 | 17 | |
| 19 | 2024 | 16 | |
| 20 | 2015 | 16 |
About Kejin Wei
Kejin Wei is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 60 papers that have together received 1.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (54 papers), Quantum Computing Algorithms and Architecture (40 papers), Quantum Mechanics and Applications (30 papers), Quantum optics and atomic interactions (11 papers), Quantum-Dot Cellular Automata (6 papers), Photonic and Optical Devices (6 papers), Chaos-based Image/Signal Encryption (5 papers) and Quantum and electron transport phenomena (4 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Atomic and Molecular Physics, and Optics (833 citations), Acoustics and Ultrasonics (6 citations), Instrumentation (20 citations) and Computational Theory and Mathematics (51 citations). Kejin Wei has collaborated with scholars based in China, Canada and Australia. Frequent co-authors include Feihu Xu, Weijun Zhang, Lixing You, Zhenrong Zhang, Hoi‐Kwong Lo, Chunfeng Huang, Jian-Wei Pan, Hao Li, Haiqiang Ma and Zijian Li. Their work appears in journals such as Physical review. A, Science China Physics Mechanics and Astronomy, Optics Express, Physical Review Applied and Physical Review Letters.
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.