Haidong Yuan
- Atomic and Molecular Physics, and Optics top 2%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 5%
- Electrical and Electronic Engineering
- Spectroscopy top 10%
- Co-authors
- Jing LiuChi‐Hang Fred FungNavin KhanejaHongzhen ChenSteffen J. GlaserChuan‐Feng LiZhibo HouRobert Zeier
- Topics
- Quantum Information and Cryptography (56 papers)Quantum Computing Algorithms and Architecture (40 papers)Quantum Mechanics and Applications (34 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsArtificial IntelligenceStatistical and Nonlinear Physics
- Journals
- Physical Review LettersThe Journal of Chemical PhysicsSHILAP Revista de lepidopterología
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Haidong Yuan
72 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 64
- Atomic and Molecular Physics, and Optics 1.1k
- Artificial Intelligence 1.0k
- Statistical and Nonlinear Physics 119
- Electrical and Electronic Engineering 85
- Spectroscopy 74
Countries citing papers authored by Haidong Yuan
This map shows the geographic impact of Haidong Yuan'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 Haidong Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haidong Yuan more than expected).
Fields of papers citing papers by Haidong Yuan
This network shows the impact of papers produced by Haidong Yuan. 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 Haidong Yuan. The network helps show where Haidong Yuan may publish in the future.
Co-authorship network of co-authors of Haidong Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Haidong Yuan. A scholar is included among the top collaborators of Haidong Yuan 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 Haidong Yuan. Haidong Yuan 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 | 3 | |
| 3 | 11 | |
| 4 | 14 | |
| 5 | 6 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 27 | |
| 11 | 17 | |
| 12 | 38 | |
| 13 | 43 | |
| 14 | 0 | |
| 15 | Heisenberg-limited single-mode quantum metrology in a superconducting circuit | 1 |
| 16 | 0 | |
| 17 | Cooperation between coherent controls and noises in quantum metrology | 0 |
| 18 | Geometrical distance on quantum channels | 1 |
| 19 | 56 | |
| 20 | 9 |
About Haidong Yuan
Haidong Yuan is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Spectroscopy, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (56 papers), Quantum Computing Algorithms and Architecture (40 papers) and Quantum Mechanics and Applications (34 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.1k citations), Artificial Intelligence (1.0k citations) and Statistical and Nonlinear Physics (119 citations). Haidong Yuan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jing Liu, Chi‐Hang Fred Fung, Navin Khaneja, Hongzhen Chen, Steffen J. Glaser, Chuan‐Feng Li, Zhibo Hou, Robert Zeier, Guo‐Yong Xiang and Yong Li. Their work appears in journals such as Physical Review Letters, The Journal of Chemical Physics and SHILAP Revista de lepidopterología.
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.