Man‐Hong Yung
- Artificial Intelligence top 0.1%
- Quantum Information and Cryptography 74
- Quantum Computing Algorithms and Architecture 61
- Neural Networks and Reservoir Computing 10
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- Quantum and electron transport phenomena 28
- Quantum Mechanics and Applications 20
- Quantum many-body systems 9
- Spectroscopy and Quantum Chemical Studies 5
- Computational Theory and Mathematics top 0.5%
- Acoustics and Ultrasonics top 10%
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- Advanced Thermodynamics and Statistical Mechanics 8
- Co-authors
- Alán Aspuru‐GuzikJarrod R. McCleanPeter ShadboltPeter J. LoveJeremy L. O’BrienXiaoqi ZhouAlberto PeruzzoSougato Bose
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsComputational Theory and Mathematics
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Physical Review Letters (12 papers)Nature Communications (5 papers)
- 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
- Computational Theory and Mathematics 663
- Acoustics and Ultrasonics 23
- Statistical and Nonlinear Physics 252
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
The 25 scholars most cited alongside Man‐Hong Yung, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 6 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 30 | |
| 11 | 2022 | 6 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 46 | |
| 14 | 2021 | 3 | |
| 15 | 2021 | 19 | |
| 16 | 2021 | 51 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 122 | |
| 19 | 2019 | 15 | |
| 20 | A variational eigenvalue solver on a photonic quantum processorbreakdown → | 2014 | 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), Quantum and electron transport phenomena (28 papers), Quantum Mechanics and Applications (20 papers), Neural Networks and Reservoir Computing (10 papers), Quantum many-body systems (9 papers), Advanced Thermodynamics and Statistical Mechanics (8 papers) and Spectroscopy and Quantum Chemical Studies (5 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.