Lvzhou Li
Impact in
- Artificial Intelligence top 1%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
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- Quantum-Dot Cellular Automata
- semigroups and automata theory
Papers in
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- Quantum Computing Algorithms and Architecture 78
- Quantum Information and Cryptography 49
- Machine Learning and Algorithms 14
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- Perovskite Materials and Applications 18
- Co-authors
- Daowen Qiu (25 shared papers)Haozhen Situ (21 shared papers)Shenggen Zheng (17 shared papers)Paulo Mateus (6 shared papers)Jianning Ding (48 shared papers)Xiangfu Zou (6 shared papers)Yu Tian (12 shared papers)Zhimin He (10 shared papers)
In The Last Decade
Lvzhou Li
146 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 93
- Artificial Intelligence 988
- Computational Theory and Mathematics 317
- Atomic and Molecular Physics, and Optics 580
- Polymers and Plastics 134
- Mechanics of Materials 188
Countries citing papers authored by Lvzhou Li
This map shows the geographic impact of Lvzhou 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 Lvzhou Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lvzhou Li more than expected).
Fields of papers citing papers by Lvzhou Li
This network shows the impact of papers produced by Lvzhou 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 Lvzhou Li. The network helps show where Lvzhou Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Lvzhou 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 161 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 154 | |
| 2 | 2016 | 114 | |
| 3 | 2020 | 103 | |
| 4 | 2013 | 100 | |
| 5 | 2015 | 66 | |
| 6 | 2023 | 56 | |
| 7 | 2021 | 44 | |
| 8 | 2018 | 35 | |
| 9 | 2019 | 31 | |
| 10 | 2018 | 30 | |
| 11 | 2014 | 30 | |
| 12 | 2022 | 29 | |
| 13 | 2023 | 28 | |
| 14 | 2008 | 28 | |
| 15 | 2023 | 26 | |
| 16 | 2018 | 24 | |
| 17 | 2023 | 23 | |
| 18 | 2023 | 22 | |
| 19 | 2009 | 22 | |
| 20 | 2023 | 21 |
About Lvzhou Li
Lvzhou Li is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 161 papers that have together received 1.9k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (78 papers), Quantum Information and Cryptography (49 papers), Quantum Mechanics and Applications (22 papers), Advanced Sensor and Energy Harvesting Materials (22 papers), Perovskite Materials and Applications (18 papers), Quantum-Dot Cellular Automata (16 papers), Computability, Logic, AI Algorithms (14 papers) and Machine Learning and Algorithms (14 papers). The work is most often cited by research in Artificial Intelligence (988 citations), Computational Theory and Mathematics (317 citations), Atomic and Molecular Physics, and Optics (580 citations), Polymers and Plastics (134 citations) and Mechanics of Materials (188 citations). Lvzhou Li has collaborated with scholars based in China, Portugal and Australia. Frequent co-authors include Daowen Qiu, Haozhen Situ, Shenggen Zheng, Paulo Mateus, Jianning Ding, Xiangfu Zou, Yu Tian, Zhimin He, Chen Xie and Xu Dong. Their work appears in journals such as Physical review. A, Theoretical Computer Science, Information and Computation, Solar Energy Materials and Solar Cells and Quantum Information Processing.
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.