Gao Feng

486 citations
25 papers · 399 indexed · h-index 9
Topics
Quantum Information and Cryptography (16 papers)Quantum Computing Algorithms and Architecture (10 papers)Quantum Mechanics and Applications (9 papers)
Partner nations
ChinaAustraliaItaly

In The Last Decade

Gao Feng

23 papers receiving 355 citations

Peers

Gao Feng
Comparison fields: 5 of 21
  • Atomic and Molecular Physics, and Optics 371
  • Artificial Intelligence 301
  • Statistical and Nonlinear Physics 41
  • Electrical and Electronic Engineering 40
  • Electronic, Optical and Magnetic Materials 6
Replace Amir Moqanaki with:
Amir Moqanaki Austria
A. Kowalewska-Kudłaszyk Poland
Giulia Gualdi Italy
Amir H. Karamlou United States
Chuan-Jia Shan China
Jin‐Liang Guo China
Dong Lan China
Víctor Montenegro China
P. Z. Zhao China
J. Stehlik United States
Gao Feng relative to Amir Moqanaki Austria Amir Moqanaki's profile →
Citations per field
00.5×1.5×2.1×
Amir Moqanaki · 1×
Citations per year

Countries citing papers authored by Gao Feng

Since Specialization
Citations

This map shows the geographic impact of Gao 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 Gao Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gao Feng more than expected).

Fields of papers citing papers by Gao Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gao 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 Gao Feng. The network helps show where Gao Feng may publish in the future.

Co-authorship network of co-authors of Gao Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Gao Feng. A scholar is included among the top collaborators of Gao 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 Gao Feng. Gao Feng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 21
4 24
5 3
6 9
7
All-optical transistor based on Rydberg atom-assisted optomechanical system.
9
8 10
9 3
10 2
11 1
12 3
13 8
14 2
15 13
16 1
17 1
18 10
19 4
20 0

About Gao Feng

Gao Feng is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics, having authored 25 papers that have together received 399 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (16 papers), Quantum Computing Algorithms and Architecture (10 papers) and Quantum Mechanics and Applications (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (371 citations), Artificial Intelligence (301 citations) and Statistical and Nonlinear Physics (41 citations). Gao Feng has collaborated with scholars based in China, Australia and Italy. Frequent co-authors include Shaohua Qin, Qi Wen, Fengcai Zhu, Yi-Mou Liu, Jin‐Hui Wu, Deng-Yu Zhang, Shi-Qing Tang, Xue-Dong Tian, G. C. La Rocca and M. Artoni. Their work appears in journals such as Scientific Reports, Journal of Materials Chemistry A and Optics 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.

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