Lin Chen
Impact in
- Computational Mathematics top 5%
- Tensor decomposition and applications
- Artificial Intelligence top 2%
- Quantum Information and Cryptography
- Quantum Computing Algorithms and Architecture
Papers in
-
- Quantum Information and Cryptography 90
- Quantum Computing Algorithms and Architecture 79
-
- Quantum Mechanics and Applications 67
- Quantum and electron transport phenomena 6
- Co-authors
- Huangjun Zhu (6 shared papers)Masahito Hayashi (5 shared papers)Yi-Xin Chen (7 shared papers)Li Yu (8 shared papers)Dragomir Ž. Ðoković (9 shared papers)Xiande Zhang (7 shared papers)Eric Chitambar (2 shared papers)Aimin Xu (1 shared paper)
In The Last Decade
Lin Chen
115 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 81
- Computational Mathematics 40
- Artificial Intelligence 971
- Atomic and Molecular Physics, and Optics 850
- Computational Theory and Mathematics 176
- Acoustics and Ultrasonics 8
Countries citing papers authored by Lin Chen
This map shows the geographic impact of Lin 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 Lin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Chen more than expected).
Fields of papers citing papers by Lin Chen
This network shows the impact of papers produced by Lin 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 Lin Chen. The network helps show where Lin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 56 | |
| 2 | 2016 | 51 | |
| 3 | 2010 | 45 | |
| 4 | 2010 | 43 | |
| 5 | 2011 | 40 | |
| 6 | 2024 | 39 | |
| 7 | 2018 | 36 | |
| 8 | 2010 | 33 | |
| 9 | 2007 | 33 | |
| 10 | 2009 | 32 | |
| 11 | 2020 | 31 | |
| 12 | 2006 | 28 | |
| 13 | 2011 | 28 | |
| 14 | 2017 | 26 | |
| 15 | 1993 | 24 | |
| 16 | 2012 | 23 | |
| 17 | 2009 | 22 | |
| 18 | 2011 | 22 | |
| 19 | 2021 | 22 | |
| 20 | 2005 | 19 |
About Lin Chen
Lin Chen is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computational Theory and Mathematics, Mathematical Physics and Geometry and Topology, having authored 126 papers that have together received 1.3k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (90 papers), Quantum Computing Algorithms and Architecture (79 papers), Quantum Mechanics and Applications (67 papers), Algebraic structures and combinatorial models (7 papers), Quantum-Dot Cellular Automata (6 papers), Quantum and electron transport phenomena (6 papers), graph theory and CDMA systems (5 papers) and Matrix Theory and Algorithms (5 papers). The work is most often cited by research in Computational Mathematics (40 citations), Artificial Intelligence (971 citations), Atomic and Molecular Physics, and Optics (850 citations), Computational Theory and Mathematics (176 citations) and Acoustics and Ultrasonics (8 citations). Lin Chen has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Huangjun Zhu, Masahito Hayashi, Yi-Xin Chen, Li Yu, Dragomir Ž. Ðoković, Xiande Zhang, Eric Chitambar, Aimin Xu, Xian Shi and Haifeng Dong. Their work appears in journals such as Physical Review A, Quantum Information Processing, Physical review. A, Journal of Physics A Mathematical and Theoretical and Annalen der Physik.
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.