Man‐Hong Yung
- Artificial Intelligence top 0.1%
- Atomic and Molecular Physics, and Optics top 0.5%
- Electrical and Electronic Engineering top 5%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry
- Co-authors
- Alán Aspuru‐GuzikJarrod R. McCleanPeter ShadboltPeter J. LoveJeremy L. O’BrienXiaoqi ZhouAlberto PeruzzoSougato Bose
- Topics
- Quantum Information and Cryptography (74 papers)Quantum Computing Algorithms and Architecture (61 papers)Quantum and electron transport phenomena (28 papers)
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNature Communications
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Man‐Hong Yung
98 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Artificial Intelligence 5.0k
- Atomic and Molecular Physics, and Optics 3.4k
- Electrical and Electronic Engineering 829
- Computational Theory and Mathematics 663
- Materials Chemistry 291
Countries citing papers authored by Man‐Hong Yung
This map shows the geographic impact of Man‐Hong Yung'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 Man‐Hong Yung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Man‐Hong Yung more than expected).
Fields of papers citing papers by Man‐Hong Yung
This network shows the impact of papers produced by Man‐Hong Yung. 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 Man‐Hong Yung. The network helps show where Man‐Hong Yung may publish in the future.
Co-authorship network of co-authors of Man‐Hong Yung
This figure shows the co-authorship network connecting the top 25 collaborators of Man‐Hong Yung. A scholar is included among the top collaborators of Man‐Hong Yung 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 Man‐Hong Yung. Man‐Hong Yung 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 6 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 3 | |
| 10 | 30 | |
| 11 | 6 | |
| 12 | 5 | |
| 13 | 46 | |
| 14 | 3 | |
| 15 | 19 | |
| 16 | 51 | |
| 17 | 9 | |
| 18 | 122 | |
| 19 | 15 | |
| 20 | A variational eigenvalue solver on a photonic quantum processorbreakdown → | 2513 |
About Man‐Hong Yung
Man‐Hong Yung is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Acoustics and Ultrasonics, having authored 103 papers that have together received 5.9k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (74 papers), Quantum Computing Algorithms and Architecture (61 papers) and Quantum and electron transport phenomena (28 papers). The work is most often cited by research in Artificial Intelligence (5.0k citations), Atomic and Molecular Physics, and Optics (3.4k citations) and Computational Theory and Mathematics (663 citations). Man‐Hong Yung has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Alán Aspuru‐Guzik, Jarrod R. McClean, Peter Shadbolt, Peter J. Love, Jeremy L. O’Brien, Xiaoqi Zhou, Alberto Peruzzo, Sougato Bose, H. Y. Yuan and Bao-Jie Liu. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nature Communications.
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.