Yun‐Feng Huang
- Atomic and Molecular Physics, and Optics top 0.5%
- Artificial Intelligence top 0.2%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 2%
- Biomedical Engineering
- Co-authors
- Guang‐Can GuoChuan‐Feng LiBi‐Heng LiuXiao‐Min HuChao ZhangYong-Sheng ZhangYu GuoJyrki Piilo
- Topics
- Quantum Information and Cryptography (115 papers)Quantum Mechanics and Applications (85 papers)Quantum Computing Algorithms and Architecture (62 papers)
- Journals
- Physical Review LettersNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yun‐Feng Huang
128 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Atomic and Molecular Physics, and Optics 3.0k
- Artificial Intelligence 2.9k
- Electrical and Electronic Engineering 340
- Statistical and Nonlinear Physics 318
- Biomedical Engineering 128
Countries citing papers authored by Yun‐Feng Huang
This map shows the geographic impact of Yun‐Feng Huang'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 Yun‐Feng Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐Feng Huang more than expected).
Fields of papers citing papers by Yun‐Feng Huang
This network shows the impact of papers produced by Yun‐Feng Huang. 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 Yun‐Feng Huang. The network helps show where Yun‐Feng Huang may publish in the future.
Co-authorship network of co-authors of Yun‐Feng Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yun‐Feng Huang. A scholar is included among the top collaborators of Yun‐Feng Huang 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 Yun‐Feng Huang. Yun‐Feng Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 5 | |
| 6 | 16 | |
| 7 | 1 | |
| 8 | 19 | |
| 9 | 40 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 74 | |
| 13 | 148 | |
| 14 | 15 | |
| 15 | 140 | |
| 16 | 11 | |
| 17 | 5 | |
| 18 | 18 | |
| 19 | 21 | |
| 20 | 11 |
About Yun‐Feng Huang
Yun‐Feng Huang is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Acoustics and Ultrasonics, having authored 135 papers that have together received 3.4k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (115 papers), Quantum Mechanics and Applications (85 papers) and Quantum Computing Algorithms and Architecture (62 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (3.0k citations), Artificial Intelligence (2.9k citations) and Acoustics and Ultrasonics (62 citations). Yun‐Feng Huang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Guang‐Can Guo, Chuan‐Feng Li, Bi‐Heng Liu, Xiao‐Min Hu, Chao Zhang, Guang‐Can Guo, Yong-Sheng Zhang, Yu Guo, Jyrki Piilo and Elsi-Mari Laine. Their work appears in journals such as Physical Review Letters, Nature Communications 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.