Fei Gao

7.9k citations
230 papers · 6.1k indexed · 1 hit paper · h-index 47
Topics
Quantum Information and Cryptography (169 papers)Quantum Computing Algorithms and Architecture (168 papers)Quantum Mechanics and Applications (133 papers)
Partner nations
ChinaAustraliaSingapore

In The Last Decade

Fei Gao

215 papers receiving 5.9k citations

Hit Papers

A quantum federated learning framework for classical clients20242026202520241020304050

Peers

Fei Gao
Comparison fields: 5 of 99
  • Artificial Intelligence 5.9k
  • Atomic and Molecular Physics, and Optics 4.6k
  • Computational Theory and Mathematics 508
  • Information Systems 233
  • Computer Vision and Pattern Recognition 174
Replace Su‐Juan Qin with:
Su‐Juan Qin China
Sándor Imre Hungary
Marcos Curty Spain
Iordanis Kerenidis France
Rodney Van Meter Japan
László Gyöngyösi Hungary
Ashley Montanaro United Kingdom
Andrew W. Cross United States
Hua‐Lei Yin China
Michael Ben-Or Israel
Fei Gao relative to Su‐Juan Qin China Su‐Juan Qin's profile →
Citations per field
00.5×2.9×
Su‐Juan Qin · 1×
Citations per year

Countries citing papers authored by Fei Gao

Since Specialization
Citations

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

Fields of papers citing papers by Fei Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fei Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Fei Gao. A scholar is included among the top collaborators of Fei Gao 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 Fei Gao. Fei Gao 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 0
3 3
4 0
5 14
6 8
7 3
8 7
9 1
10 49
11 4
12 9
13 4
14 1
15 60
16 8
17 11
18 130
19 1
20
Examining a Web 2.0-Supported Online Activity: Lessons From a Case Study
3

About Fei Gao

Fei Gao is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics, having authored 230 papers that have together received 6.1k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (169 papers), Quantum Computing Algorithms and Architecture (168 papers) and Quantum Mechanics and Applications (133 papers). The work is most often cited by research in Artificial Intelligence (5.9k citations), Atomic and Molecular Physics, and Optics (4.6k citations) and Computational Theory and Mathematics (508 citations). Fei Gao has collaborated with scholars based in China, Australia and Singapore. Frequent co-authors include Qiaoyan Wen, Su‐Juan Qin, Fu-Chen Zhu, Bin Liu, Fen-Zhuo Guo, Wei Huang, Song Lin, Tian‐Yin Wang, Chun‐Yan Wei and Heng-Yue Jia. Their work appears in journals such as Scientific Reports, Physical Review A and IEEE Access.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026