Sirui Lu
Impact in
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture
- Quantum Information and Cryptography
- Neural Networks and Reservoir Computing
- Stochastic Gradient Optimization Techniques
- Privacy-Preserving Technologies in Data
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- Quantum many-body systems
- Quantum Mechanics and Applications
- Quantum and electron transport phenomena
Papers in
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- Quantum many-body systems 6
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- Quantum Computing Algorithms and Architecture 6
- Quantum Information and Cryptography 2
- Co-authors
- J. I. Cirac (4 shared papers)Dong-Ling Deng (4 shared papers)Mari Carmen Bañuls (1 shared paper)Weikang Li (1 shared paper)L.-M. Duan (1 shared paper)Xun Gao (1 shared paper)Bei Zeng (2 shared papers)Keren Li (1 shared paper)
- Journals
- Physical review. B. (2 papers)Physical review. A (2 papers)Physical Review Research (1 paper)Chemical Engineering Journal (1 paper)Nanoscale (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Sirui Lu
15 papers receiving 366 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 269
- Atomic and Molecular Physics, and Optics 220
- Computational Mathematics 3
- Statistical and Nonlinear Physics 41
- Condensed Matter Physics 30
Countries citing papers authored by Sirui Lu
This map shows the geographic impact of Sirui Lu'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 Sirui Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sirui Lu more than expected).
Fields of papers citing papers by Sirui Lu
This network shows the impact of papers produced by Sirui Lu. 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 Sirui Lu. The network helps show where Sirui Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Sirui Lu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 89 | |
| 2 | 2021 | 81 | |
| 3 | 2018 | 80 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 40 | |
| 6 | 2020 | 12 | |
| 7 | 2023 | 12 | |
| 8 | 2024 | 9 | |
| 9 | 2025 | 3 | |
| 10 | 2023 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2025 | 2 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | Vulnerability of Machine Learning Phases of Matter | 2019 | 1 |
About Sirui Lu
Sirui Lu is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence, Statistical and Nonlinear Physics, Condensed Matter Physics and Mechanical Engineering, having authored 15 papers that have together received 377 indexed citations. Recurring topics across this work include Quantum many-body systems (6 papers), Quantum Computing Algorithms and Architecture (6 papers), Model Reduction and Neural Networks (4 papers), Micro and Nano Robotics (3 papers), Modular Robots and Swarm Intelligence (3 papers), Advanced Thermodynamics and Statistical Mechanics (2 papers), Quantum Information and Cryptography (2 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Artificial Intelligence (269 citations), Atomic and Molecular Physics, and Optics (220 citations), Computational Mathematics (3 citations), Statistical and Nonlinear Physics (41 citations) and Condensed Matter Physics (30 citations). Sirui Lu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include J. I. Cirac, Dong-Ling Deng, Mari Carmen Bañuls, Weikang Li, L.-M. Duan, Xun Gao, Bei Zeng, Keren Li, Jun Li and Duan-Lu Zhou. Their work appears in journals such as Physical review. B., Physical review. A, Physical Review Research, Chemical Engineering Journal and Nanoscale.
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.