Yu Cai
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- Quantum Mechanics and Applications 19
- Artificial Intelligence top 5%
- Quantum Information and Cryptography 17
- Quantum Computing Algorithms and Architecture 12
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- Supercapacitor Materials and Fabrication 3
- Electrochemistry top 10%
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- Advancements in Battery Materials 6
- Advanced Battery Materials and Technologies 4
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- Advanced Thermodynamics and Statistical Mechanics 5
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- Copper-based nanomaterials and applications 2
- Co-authors
- Kian Ping LohB. V. R. ChowdariM. V. ReddyJean-Daniel BancalValerio ScaraniXingquan LiuZhenwei WangShanshan Liu
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceElectronic, Optical and Magnetic Materials
- Journals
- Physical Review Letters (2 papers)Nature Communications (1 paper)ACS Applied Materials & Interfaces (1 paper)
- Partner nations
- SingaporeChinaSwitzerland
In The Last Decade
Yu Cai
34 papers receiving 884 citations
Peers
Comparison fields: 5 of 58
- Atomic and Molecular Physics, and Optics 443
- Artificial Intelligence 441
- Electronic, Optical and Magnetic Materials 175
- Electrochemistry 47
- Electrical and Electronic Engineering 405
Countries citing papers authored by Yu Cai
This map shows the geographic impact of Yu 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 Yu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Cai more than expected).
Fields of papers citing papers by Yu Cai
This network shows the impact of papers produced by Yu 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 Yu Cai. The network helps show where Yu Cai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yu Cai, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2021 | 33 | |
| 5 | 2020 | 148 | |
| 6 | 2020 | 48 | |
| 7 | 2019 | 7 | |
| 8 | 2019 | 7 | |
| 9 | 2019 | 5 | |
| 10 | 2019 | 10 | |
| 11 | 2018 | 72 | |
| 12 | 2017 | 5 | |
| 13 | 2017 | 26 | |
| 14 | Irreducible dimension witness | 2016 | 1 |
| 15 | 2016 | 47 | |
| 16 | 2016 | 51 | |
| 17 | 2016 | 47 | |
| 18 | 2014 | 1 | |
| 19 | 2014 | 50 | |
| 20 | 2008 | 3 |
About Yu Cai
Yu Cai is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 35 papers that have together received 925 indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (19 papers), Quantum Information and Cryptography (17 papers), Quantum Computing Algorithms and Architecture (12 papers), Advancements in Battery Materials (6 papers), Advanced Thermodynamics and Statistical Mechanics (5 papers), Advanced Battery Materials and Technologies (4 papers), Supercapacitor Materials and Fabrication (3 papers) and Copper-based nanomaterials and applications (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (443 citations), Artificial Intelligence (441 citations) and Electronic, Optical and Magnetic Materials (175 citations). Yu Cai has collaborated with scholars based in Singapore, China and Switzerland. Frequent co-authors include Kian Ping Loh, B. V. R. Chowdari, M. V. Reddy, Jean-Daniel Bancal, Valerio Scarani, Xingquan Liu, Zhenwei Wang, Shanshan Liu, Ming Jen Tan and Hongyuan Zhao. Their work appears in journals such as Physical Review Letters, Nature Communications and ACS Applied Materials & Interfaces.
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.