Xiao‐Qiu Cai
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 34
- Quantum Computing Algorithms and Architecture 34
- Cryptography and Data Security 10
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- Quantum Mechanics and Applications 24
- Quantum optics and atomic interactions 2
- Quantum and electron transport phenomena 1
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- Cryptography and Residue Arithmetic 3
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- Advanced Authentication Protocols Security 1
Xiao‐Qiu Cai
36 papers receiving 519 citations
Peers
Comparison fields: 5 of 25
- Artificial Intelligence 529
- Atomic and Molecular Physics, and Optics 412
- Computational Theory and Mathematics 20
- Computer Vision and Pattern Recognition 21
- Information Systems 20
Countries citing papers authored by Xiao‐Qiu Cai
This map shows the geographic impact of Xiao‐Qiu 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 Xiao‐Qiu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Qiu Cai more than expected).
Fields of papers citing papers by Xiao‐Qiu Cai
This network shows the impact of papers produced by Xiao‐Qiu 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 Xiao‐Qiu Cai. The network helps show where Xiao‐Qiu Cai may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Xiao‐Qiu 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 3 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 1 | |
| 9 | 2022 | 11 | |
| 10 | 2022 | 5 | |
| 11 | 2022 | 1 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 49 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 1 | |
| 16 | 2017 | 130 | |
| 17 | 2017 | 20 | |
| 18 | Efficient Certificateless Short Signature Scheme Under Standard Model | 2012 | 1 |
| 19 | 2012 | 2 | |
| 20 | Secure certificateless signcryption scheme | 2011 | 1 |
About Xiao‐Qiu Cai
Xiao‐Qiu Cai is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics, Information Systems, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 39 papers that have together received 545 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (34 papers), Quantum Mechanics and Applications (24 papers), Cryptography and Data Security (10 papers), Cryptography and Residue Arithmetic (3 papers), Quantum optics and atomic interactions (2 papers), Advanced Authentication Protocols Security (1 paper) and Quantum and electron transport phenomena (1 paper). The work is most often cited by research in Artificial Intelligence (529 citations), Atomic and Molecular Physics, and Optics (412 citations), Computational Theory and Mathematics (20 citations), Computer Vision and Pattern Recognition (21 citations) and Information Systems (20 citations). Xiao‐Qiu Cai has collaborated with scholars based in China, Singapore and France. Frequent co-authors include Tian‐Yin Wang, Chun‐Yan Wei, Fei Gao, Bin Liu, Ruiling Zhang, Jianfeng Ma, Yanli Ren, Su‐Juan Qin, Qiaoyan Wen and Huifang Niu. Their work appears in journals such as Quantum Information Processing, Scientific Reports, Advanced Quantum Technologies, Optics Express and Physica A Statistical Mechanics and its Applications.
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.