Changpeng Shao
- Artificial Intelligence top 5%
- Atomic and Molecular Physics, and Optics
- Computational Theory and Mathematics top 10%
- Electrical and Electronic Engineering
- Statistical and Nonlinear Physics
- Co-authors
- Ashley MontanaroHua XiangHongbo LiLi YangNoah LindenYuanhang ZhangYu-Chun WuGuang‐Can Guo
- Topics
- Quantum Information and Cryptography (18 papers)Quantum Computing Algorithms and Architecture (18 papers)Matrix Theory and Algorithms (6 papers)
- Journals
- Communications in Mathematical PhysicsProceedings of the Royal Society A Mathematical Physical and Engineering SciencesScience Bulletin
- Partner nations
- United KingdomChinaUnited States
In The Last Decade
Changpeng Shao
22 papers receiving 228 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 204
- Atomic and Molecular Physics, and Optics 71
- Computational Theory and Mathematics 60
- Electrical and Electronic Engineering 19
- Statistical and Nonlinear Physics 12
Countries citing papers authored by Changpeng Shao
This map shows the geographic impact of Changpeng Shao'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 Changpeng Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Changpeng Shao more than expected).
Fields of papers citing papers by Changpeng Shao
This network shows the impact of papers produced by Changpeng Shao. 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 Changpeng Shao. The network helps show where Changpeng Shao may publish in the future.
Co-authorship network of co-authors of Changpeng Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Changpeng Shao. A scholar is included among the top collaborators of Changpeng Shao 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 Changpeng Shao. Changpeng Shao 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 | 2 | |
| 3 | 14 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 5 | |
| 14 | 5 | |
| 15 | 7 | |
| 16 | 36 | |
| 17 | 1 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 1 |
About Changpeng Shao
Changpeng Shao is a scholar working on Theoretical Computer Science, Computational Theory and Mathematics and Artificial Intelligence, having authored 24 papers that have together received 242 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (18 papers), Quantum Computing Algorithms and Architecture (18 papers) and Matrix Theory and Algorithms (6 papers). The work is most often cited by research in Artificial Intelligence (204 citations), Computational Mathematics (3 citations) and Computational Theory and Mathematics (60 citations). Changpeng Shao has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Ashley Montanaro, Hua Xiang, Hongbo Li, Li Yang, Noah Linden, Yuanhang Zhang, Yu-Chun Wu, Guang‐Can Guo, Gui‐Lu Long and Zengrong Zhou. Their work appears in journals such as Communications in Mathematical Physics, Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences and Science Bulletin.
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.