Zhenyu Cai
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Electrical and Electronic Engineering
- Computational Theory and Mathematics top 10%
- Statistical and Nonlinear Physics
- Co-authors
- Simon C. BenjaminJarrod R. McCleanYing LiThomas E. O’BrienWilliam J. HugginsRyan BabbushSuguru EndoXiaosi Xu
- Topics
- Quantum Computing Algorithms and Architecture (12 papers)Quantum Information and Cryptography (8 papers)Quantum and electron transport phenomena (4 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Zhenyu Cai
16 papers receiving 476 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 407
- Atomic and Molecular Physics, and Optics 270
- Electrical and Electronic Engineering 68
- Computational Theory and Mathematics 59
- Statistical and Nonlinear Physics 18
Countries citing papers authored by Zhenyu Cai
This map shows the geographic impact of Zhenyu Cai'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 Zhenyu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyu Cai more than expected).
Fields of papers citing papers by Zhenyu Cai
This network shows the impact of papers produced by Zhenyu Cai. 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 Zhenyu Cai. The network helps show where Zhenyu Cai may publish in the future.
Co-authorship network of co-authors of Zhenyu Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Zhenyu Cai. A scholar is included among the top collaborators of Zhenyu Cai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhenyu Cai. Zhenyu Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 2 | |
| 5 | 24 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | Quantum error mitigationbreakdown → | 260 |
| 9 | 0 | |
| 10 | 36 | |
| 11 | 48 | |
| 12 | 29 | |
| 13 | Resource Estimation for Quantum Variational Simulations of the Hubbard Model: The Advantage of Multi-core NISQ Processing | 1 |
| 14 | 1 | |
| 15 | 14 | |
| 16 | 21 | |
| 17 | 23 |
About Zhenyu Cai
Zhenyu Cai is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics, having authored 17 papers that have together received 488 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (8 papers) and Quantum and electron transport phenomena (4 papers). The work is most often cited by research in Artificial Intelligence (407 citations), Atomic and Molecular Physics, and Optics (270 citations) and Computational Theory and Mathematics (59 citations). Zhenyu Cai has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Simon C. Benjamin, Jarrod R. McClean, Ying Li, Thomas E. O’Brien, William J. Huggins, Ryan Babbush, Suguru Endo, Xiaosi Xu, Bálint Koczor and H. Chau Nguyen. Their work appears in journals such as Reviews of Modern Physics, Proceedings of the IEEE and Physical review. A.
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.