Xiaoyu Cao
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Information Systems top 10%
- Co-authors
- Neil Zhenqiang GongJinyuan JiaZeng‐Bing ChenHua‐Lei YinYao FuJie GuZaixi ZhangChen-Xun Weng
- Topics
- Quantum Mechanics and Applications (11 papers)Quantum Information and Cryptography (11 papers)Quantum Computing Algorithms and Architecture (9 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoyu Cao
23 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 1.0k
- Atomic and Molecular Physics, and Optics 436
- Computer Networks and Communications 107
- Computer Vision and Pattern Recognition 89
- Information Systems 86
Countries citing papers authored by Xiaoyu Cao
This map shows the geographic impact of Xiaoyu Cao'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 Xiaoyu Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu Cao more than expected).
Fields of papers citing papers by Xiaoyu Cao
This network shows the impact of papers produced by Xiaoyu Cao. 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 Xiaoyu Cao. The network helps show where Xiaoyu Cao may publish in the future.
Co-authorship network of co-authors of Xiaoyu Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyu Cao. A scholar is included among the top collaborators of Xiaoyu Cao 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 Xiaoyu Cao. Xiaoyu Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 41 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 7 | |
| 6 | 57 | |
| 7 | 90 | |
| 8 | Breaking the Rate-Loss Bound of Quantum Key Distribution with Asynchronous Two-Photon Interferencebreakdown → | 198 |
| 9 | 71 | |
| 10 | 74 | |
| 11 | 40 | |
| 12 | 47 | |
| 13 | 16 | |
| 14 | 96 | |
| 15 | 18 | |
| 16 | 25 | |
| 17 | 9 | |
| 18 | 8 | |
| 19 | Auditory Feature Extraction Based on Gammatone Filter Bank | 1 |
| 20 | 0 |
About Xiaoyu Cao
Xiaoyu Cao is a scholar working on Artificial Intelligence, Signal Processing and Atomic and Molecular Physics, and Optics, having authored 25 papers that have together received 1.2k indexed citations. Recurring topics across this work include Quantum Mechanics and Applications (11 papers), Quantum Information and Cryptography (11 papers) and Quantum Computing Algorithms and Architecture (9 papers). The work is most often cited by research in Artificial Intelligence (1.0k citations), Atomic and Molecular Physics, and Optics (436 citations) and Signal Processing (82 citations). Xiaoyu Cao has collaborated with scholars based in China and United States. Frequent co-authors include Neil Zhenqiang Gong, Jinyuan Jia, Zeng‐Bing Chen, Hua‐Lei Yin, Yao Fu, Jie Gu, Zaixi Zhang, Chen-Xun Weng, Yang Wang and Yu-Shuo Lu. Their work appears in journals such as Physical Review Letters, The Science of The Total Environment and Science Advances.
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.