Yuxiang Yang
- Artificial Intelligence top 2%
- Quantum Information and Cryptography 34
- Quantum Computing Algorithms and Architecture 31
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- Quantum Mechanics and Applications 24
- Orbital Angular Momentum in Optics 3
- Quantum and electron transport phenomena 3
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- Advanced Thermodynamics and Statistical Mechanics 2
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- Atmospheric chemistry and aerosols 3
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- Air Quality and Health Impacts 2
- Co-authors
- Giulio ChiribellaMasahito HayashiRenato RennerAndrew Chi-Chih YaoHaidong YuanXiao-Xiao ZhangXi‐Lin WangHui‐Tian Wang
- Cited by
- Artificial IntelligenceAtomic and Molecular Physics, and OpticsStatistical and Nonlinear Physics
- Journals
- Physical Review Letters (12 papers)Nature Communications (1 paper)Applied Physics Letters (1 paper)
- Partner nations
- ChinaHong KongSwitzerland
In The Last Decade
Yuxiang Yang
43 papers receiving 611 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 547
- Atomic and Molecular Physics, and Optics 487
- Statistical and Nonlinear Physics 76
- Acoustics and Ultrasonics 5
- Computational Theory and Mathematics 25
Countries citing papers authored by Yuxiang Yang
This map shows the geographic impact of Yuxiang Yang'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 Yuxiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxiang Yang more than expected).
Fields of papers citing papers by Yuxiang Yang
This network shows the impact of papers produced by Yuxiang Yang. 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 Yuxiang Yang. The network helps show where Yuxiang Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yuxiang Yang, 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 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 6 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 35 | |
| 10 | 2023 | 8 | |
| 11 | 2022 | 17 | |
| 12 | 2021 | 38 | |
| 13 | 2020 | 85 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 21 | |
| 16 | Data compression for quantum population coding | 2017 | 1 |
| 17 | 2017 | 21 | |
| 18 | 2016 | 19 | |
| 19 | 2016 | 22 | |
| 20 | Optimal energy-preserving conversions of quantum coherence | 2015 | 1 |
About Yuxiang Yang
Yuxiang Yang is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Statistical and Nonlinear Physics, having authored 46 papers that have together received 630 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (34 papers), Quantum Computing Algorithms and Architecture (31 papers), Quantum Mechanics and Applications (24 papers), Orbital Angular Momentum in Optics (3 papers), Atmospheric chemistry and aerosols (3 papers), Quantum and electron transport phenomena (3 papers), Air Quality and Health Impacts (2 papers) and Advanced Thermodynamics and Statistical Mechanics (2 papers). The work is most often cited by research in Artificial Intelligence (547 citations), Atomic and Molecular Physics, and Optics (487 citations) and Statistical and Nonlinear Physics (76 citations). Yuxiang Yang has collaborated with scholars based in China, Hong Kong and Switzerland. Frequent co-authors include Giulio Chiribella, Masahito Hayashi, Renato Renner, Andrew Chi-Chih Yao, Haidong Yuan, Xiao-Xiao Zhang, Xi‐Lin Wang, Hui‐Tian Wang, Xiang‐Bin Wang and Zhi‐Cheng Ren. 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.