Guang‐Can Guo
- Atomic and Molecular Physics, and Optics top 0.2%
- Artificial Intelligence top 0.1%
- Electrical and Electronic Engineering top 5%
- Materials Chemistry
- Biomedical Engineering top 10%
- Co-authors
- Chuan‐Feng LiXu‐Bo ZouYong-Sheng ZhangJin‐Shi XuL.-M. DuanChengjie ZhangZheng‐Fu HanYun‐Feng Xiao
- Topics
- Quantum Information and Cryptography (206 papers)Quantum Mechanics and Applications (134 papers)Quantum Computing Algorithms and Architecture (119 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Guang‐Can Guo
230 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Atomic and Molecular Physics, and Optics 4.7k
- Artificial Intelligence 4.7k
- Electrical and Electronic Engineering 728
- Materials Chemistry 316
- Biomedical Engineering 300
Countries citing papers authored by Guang‐Can Guo
This map shows the geographic impact of Guang‐Can Guo'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 Guang‐Can Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guang‐Can Guo more than expected).
Fields of papers citing papers by Guang‐Can Guo
This network shows the impact of papers produced by Guang‐Can Guo. 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 Guang‐Can Guo. The network helps show where Guang‐Can Guo may publish in the future.
Co-authorship network of co-authors of Guang‐Can Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Guang‐Can Guo. A scholar is included among the top collaborators of Guang‐Can Guo 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 Guang‐Can Guo. Guang‐Can Guo 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 15 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 2 | |
| 13 | 19 | |
| 14 | 9 | |
| 15 | 10 | |
| 16 | 3 | |
| 17 | 7 | |
| 18 | Experimental Sharing of Nonlocality among Multiple Observers with One Entangled Pair via Optimal Weak Measurements | 7 |
| 19 | 5 | |
| 20 | Experimentally identifying the transition from quantum to classical with Leggett-Garg inequalities | 1 |
About Guang‐Can Guo
Guang‐Can Guo is a scholar working on Acoustics and Ultrasonics, Atomic and Molecular Physics, and Optics and Artificial Intelligence, having authored 248 papers that have together received 6.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (206 papers), Quantum Mechanics and Applications (134 papers) and Quantum Computing Algorithms and Architecture (119 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (4.7k citations), Artificial Intelligence (4.7k citations) and Acoustics and Ultrasonics (63 citations). Guang‐Can Guo has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Chuan‐Feng Li, Xu‐Bo Zou, Yong-Sheng Zhang, Jin‐Shi Xu, L.-M. Duan, Chengjie Zhang, Zheng‐Fu Han, Yun‐Feng Xiao, Guo‐Yong Xiang and Yun‐Feng Huang. Their work appears in journals such as Physical Review Letters, Nature Communications and Applied Physics Letters.
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.