Yuan Feng
- Artificial Intelligence top 1%
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering top 10%
- Hardware and Architecture top 2%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Mingsheng YingRunyao DuanQiang XuZhaoqing PanWeijie YuYuhui ZhengXiaokai YiAsifullah Khan
- Topics
- Quantum Computing Algorithms and Architecture (69 papers)Quantum Information and Cryptography (53 papers)Quantum Mechanics and Applications (40 papers)
- Journals
- Physical Review LettersSHILAP Revista de lepidopterologíaNeuroImage
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yuan Feng
165 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Artificial Intelligence 1.4k
- Atomic and Molecular Physics, and Optics 760
- Electrical and Electronic Engineering 441
- Hardware and Architecture 375
- Computer Vision and Pattern Recognition 325
Countries citing papers authored by Yuan Feng
This map shows the geographic impact of Yuan Feng'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 Yuan Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuan Feng more than expected).
Fields of papers citing papers by Yuan Feng
This network shows the impact of papers produced by Yuan Feng. 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 Yuan Feng. The network helps show where Yuan Feng may publish in the future.
Co-authorship network of co-authors of Yuan Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Yuan Feng. A scholar is included among the top collaborators of Yuan Feng 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 Yuan Feng. Yuan Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 37 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 35 | |
| 16 | 10 | |
| 17 | 25 | |
| 18 | 8 | |
| 19 | 4 | |
| 20 | Semantics of a purely quantum programming language | 1 |
About Yuan Feng
Yuan Feng is a scholar working on Artificial Intelligence, Hardware and Architecture and Software, having authored 176 papers that have together received 2.5k indexed citations. Recurring topics across this work include Quantum Computing Algorithms and Architecture (69 papers), Quantum Information and Cryptography (53 papers) and Quantum Mechanics and Applications (40 papers). The work is most often cited by research in Hardware and Architecture (375 citations), Artificial Intelligence (1.4k citations) and Atomic and Molecular Physics, and Optics (760 citations). Yuan Feng has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mingsheng Ying, Runyao Duan, Qiang Xu, Zhaoqing Pan, Weijie Yu, Yuhui Zheng, Xiaokai Yi, Asifullah Khan, Zhengfeng Ji and Sanjiang Li. Their work appears in journals such as Physical Review Letters, SHILAP Revista de lepidopterología and NeuroImage.
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.