Fei Gao

7.9k total citations · 1 hit paper
230 papers, 6.1k citations indexed

About

Fei Gao is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Fei Gao has authored 230 papers receiving a total of 6.1k indexed citations (citations by other indexed papers that have themselves been cited), including 211 papers in Artificial Intelligence, 145 papers in Atomic and Molecular Physics, and Optics and 25 papers in Computational Theory and Mathematics. Recurrent topics in Fei Gao's work include Quantum Information and Cryptography (169 papers), Quantum Computing Algorithms and Architecture (168 papers) and Quantum Mechanics and Applications (133 papers). Fei Gao is often cited by papers focused on Quantum Information and Cryptography (169 papers), Quantum Computing Algorithms and Architecture (168 papers) and Quantum Mechanics and Applications (133 papers). Fei Gao collaborates with scholars based in China, Australia and Singapore. Fei Gao's 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 and has published in prestigious journals such as Scientific Reports, Physical Review A and IEEE Access.

In The Last Decade

Fei Gao

215 papers receiving 5.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

A quantum federated learning framework for classical clients

2024 50 citations Yusen Wu, Dandan Li et al. profile →

Peers

Fei Gao

AI

AMPO

CTM

IS

CVPR

Su‐Juan Qin China

Marcos Curty Spain

Ashley Montanaro United Kingdom

Hua‐Lei Yin China

Andrew W. Cross United States

M. Cerezo United States

Iordanis Kerenidis France

Yi‐Hua Zhou China

Rodney Van Meter Japan

Sándor Imre Hungary

Su‐Juan Qin China

Fei Gao

2.9k ×0.5

AI

2.2k ×0.5

AMPO

240 ×0.5

CTM

216 ×0.9

IS

60 ×0.3

CVPR

Citations per year, relative to Fei Gao Fei Gao (= 1×) peers Su‐Juan Qin

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Qin, Su‐Juan, et al.. (2025). QGAN-based data augmentation for hybrid quantum–classical neural networks. Chinese Journal of Physics. 97. 1453–1463.

2.

Gao, Fei, et al.. (2025). Operation of Single‐Spin Qubits: Recent Advances and Prospects. Advanced Physics Research. 4(4).

3.

Li, Yongmei, et al.. (2024). Near-term quantum algorithm for solving the MaxCut problem with fewer quantum resources. Physica A Statistical Mechanics and its Applications. 648. 129951–129951. 3 indexed citations

4.

Gao, Fei, et al.. (2024). Audio-Guided Fusion Techniques for Multimodal Emotion Analysis. 62–66.

5.

Wu, Yusen, et al.. (2024). A resource-efficient quantum convolutional neural network. Frontiers in Physics. 12. 14 indexed citations

6.

Wu, Shengyao, et al.. (2024). Quantum-Assisted Hierarchical Fuzzy Neural Network for Image Classification. IEEE Transactions on Fuzzy Systems. 33(1). 491–502. 8 indexed citations

7.

Li, Yongmei, et al.. (2023). Quantum speed limit for time-fractional open systems. Chaos Solitons & Fractals. 175. 114065–114065. 3 indexed citations

8.

Liu, Hailing, et al.. (2023). A Quantum Algorithm for Solving Eigenproblem of the Laplacian Matrix of a Fully Connected Weighted Graph. Advanced Quantum Technologies. 6(7). 7 indexed citations

9.

Gao, Fei. (2020). Full quantum one‐way function for quantum cryptography. 2(1). 1 indexed citations

10.

Wei, Chun‐Yan, Xiao‐Qiu Cai, Tian‐Yin Wang, et al.. (2020). Error Tolerance Bound in QKD-Based Quantum Private Query. IEEE Journal on Selected Areas in Communications. 38(3). 517–527. 49 indexed citations

11.

Li, Dandan, et al.. (2020). ESPQuery: An Enhanced Secure Scheme for Privacy-Preserving Query Based on Untrusted Devices in the Internet of Things. IEEE Internet of Things Journal. 8(9). 7229–7240. 4 indexed citations

12.

Wei, Guo, Su‐Juan Qin, Fei Gao, et al.. (2020). Comments on “Provable Multicopy Dynamic Data Possession in Cloud Computing Systems”. IEEE Transactions on Information Forensics and Security. 15. 2584–2586. 9 indexed citations

13.

Qin, Su‐Juan, et al.. (2020). Self-Testing of Symmetric Three-Qubit States. IEEE Journal on Selected Areas in Communications. 38(3). 589–597. 4 indexed citations

14.

Li, Dandan, et al.. (2020). The effect on (2, N, 2) Bell tests with distributed measurement dependence. Quantum Information Processing. 19(9). 1 indexed citations

15.

Yu, Chao‐Hua, Fei Gao, Song Lin, & Jingbo Wang. (2019). Quantum data compression by principal component analysis. Quantum Information Processing. 18(8). 60 indexed citations

16.

Zhang, Hua, et al.. (2019). An Adaptive Encryption-as-a-Service Architecture Based on Fog Computing for Real-Time Substation Communications. IEEE Transactions on Industrial Informatics. 16(1). 658–668. 8 indexed citations

17.

Pei, Tingrui, et al.. (2019). Practical quantum private query of blocks based on the two-dimensional QKD system. Quantum Information Processing. 18(8). 11 indexed citations

18.

Wei, Chun‐Yan, Xiao‐Qiu Cai, Bin Liu, Tian‐Yin Wang, & Fei Gao. (2017). A Generic Construction of Quantum-Oblivious-Key-Transfer-Based Private Query with Ideal Database Security and Zero Failure. IEEE Transactions on Computers. 67(1). 2–8. 130 indexed citations

19.

Gao, Fei, et al.. (2013). A Whitelist Detection Mechanism Based on Modsecurity. International Conference on Multimedia Information Networking and Security. 34–37. 1 indexed citations

20.

Gao, Fei & Tianyi Zhang. (2012). Examining a Web 2.0-Supported Online Activity: Lessons From a Case Study. ScholarWorks@BGSU (Bowling Green State University). 39(2). 113–121. 3 indexed citations

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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