Shuxiang Cao
- Artificial Intelligence top 2%
- Atomic and Molecular Physics, and Optics top 10%
- Computational Theory and Mathematics top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Co-authors
- Leonard WossnigEdward GrantIvan RunggerJules TillyHongxiang ChenKanav SetiaYing LiGeorge H. Booth
- Topics
- Quantum Computing Algorithms and Architecture (12 papers)Quantum Information and Cryptography (11 papers)Quantum and electron transport phenomena (5 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaPhysics Reports
- Partner nations
- United KingdomChinaCanada
In The Last Decade
Shuxiang Cao
13 papers receiving 611 citations
Hit Papers
Peers
Comparison fields: 5 of 46
- Artificial Intelligence 535
- Atomic and Molecular Physics, and Optics 325
- Computational Theory and Mathematics 107
- Electrical and Electronic Engineering 52
- Materials Chemistry 35
Countries citing papers authored by Shuxiang Cao
This map shows the geographic impact of Shuxiang 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 Shuxiang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuxiang Cao more than expected).
Fields of papers citing papers by Shuxiang Cao
This network shows the impact of papers produced by Shuxiang 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 Shuxiang Cao. The network helps show where Shuxiang Cao may publish in the future.
Co-authorship network of co-authors of Shuxiang Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Shuxiang Cao. A scholar is included among the top collaborators of Shuxiang 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 Shuxiang Cao. Shuxiang 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 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | The Variational Quantum Eigensolver: A review of methods and best practicesbreakdown → | 552 |
| 9 | 23 | |
| 10 | 1 | |
| 11 | 6 | |
| 12 | 19 | |
| 13 | 1 |
About Shuxiang Cao
Shuxiang Cao is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 13 papers that have together received 629 indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (11 papers) and Quantum and electron transport phenomena (5 papers). The work is most often cited by research in Artificial Intelligence (535 citations), Atomic and Molecular Physics, and Optics (325 citations) and Computational Theory and Mathematics (107 citations). Shuxiang Cao has collaborated with scholars based in United Kingdom, China and Canada. Frequent co-authors include Leonard Wossnig, Edward Grant, Ivan Rungger, Jules Tilly, Hongxiang Chen, Kanav Setia, Ying Li, George H. Booth, Jonathan Tennyson and Peter Leek. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Physics Reports.
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.