Jun Feng

2.2k total citations · 1 hit paper
89 papers, 1.6k citations indexed

About

Jun Feng is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Jun Feng has authored 89 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 18 papers in Information Systems and 17 papers in Computer Networks and Communications. Recurrent topics in Jun Feng's work include Cryptography and Data Security (20 papers), Privacy-Preserving Technologies in Data (17 papers) and Cloud Data Security Solutions (8 papers). Jun Feng is often cited by papers focused on Cryptography and Data Security (20 papers), Privacy-Preserving Technologies in Data (17 papers) and Cloud Data Security Solutions (8 papers). Jun Feng collaborates with scholars based in China, Canada and United States. Jun Feng's co-authors include Laurence T. Yang, Xiaokang Wang, Daixing Zhou, Wei Zhu, Shusheng Li, Junshuai Wang, Kim‐Kwang Raymond Choo, Qing Zhu, Shunli Zhang and Qing Lü and has published in prestigious journals such as International Journal of Molecular Sciences, Neuroscience and European Journal of Pharmacology.

In The Last Decade

Jun Feng

84 papers receiving 1.6k citations

Hit Papers

Panther: Practical Secure Two-Party Neural Network Inference 2025 2026 2025 5 10 15
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.

  1. Panther: Practical Secure Two-Party Neural Network Inference
    2025 18 citations Jun Feng et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Feng China 25 565 320 312 268 235 89 1.6k
Pierangelo Veltri Italy 23 629 1.1× 325 1.0× 183 0.6× 581 2.2× 252 1.1× 237 2.2k
Prashant Kumar Shukla India 26 573 1.0× 254 0.8× 175 0.6× 342 1.3× 272 1.2× 91 2.4k
Xiujuan Wang China 21 500 0.9× 393 1.2× 268 0.9× 337 1.3× 79 0.3× 142 1.9k
Xin Jiang China 23 191 0.3× 315 1.0× 171 0.5× 209 0.8× 187 0.8× 128 1.6k
Shi Zhong China 31 647 1.1× 198 0.6× 259 0.8× 539 2.0× 320 1.4× 106 2.4k
Tian Guo United States 20 155 0.3× 440 1.4× 400 1.3× 261 1.0× 193 0.8× 90 1.4k
Sheng Li China 24 1.5k 2.6× 104 0.3× 230 0.7× 196 0.7× 231 1.0× 246 2.5k
Xiaofen Wang China 17 763 1.4× 290 0.9× 511 1.6× 288 1.1× 137 0.6× 86 1.7k
Jia Zhang China 27 1.1k 2.0× 149 0.5× 512 1.6× 362 1.4× 659 2.8× 87 2.1k
Sultan Ahmad Saudi Arabia 25 417 0.7× 251 0.8× 216 0.7× 726 2.7× 106 0.5× 153 2.4k

Countries citing papers authored by Jun Feng

Since Specialization
Citations

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

Fields of papers citing papers by Jun Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Feng. A scholar is included among the top collaborators of Jun 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 Jun Feng. Jun 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
1.
Mao, Zhu, et al.. (2025). How Does Digital Inclusive Finance Affect Agricultural Green Development? Evidence from Thirty Provinces in China. Sustainability. 17(4). 1449–1449. 3 indexed citations
2.
Feng, Jun, Junhui Liu, Xiaoyan Wu, & Junshuai Wang. (2025). Role of Tie‐2 Axis in Sepsis: A Potential Therapeutic Target. Journal of Cellular and Molecular Medicine. 29(20). e70912–e70912.
3.
Xu, Chao, et al.. (2024). TPE-BFL: Training Parameter Encryption scheme for Blockchain based Federated Learning system. Computer Networks. 252. 110691–110691.
4.
Zhu, Xiaojian, et al.. (2024). The Changes in the Quantity of Lymphocyte Subpopulations during the Process of Sepsis. International Journal of Molecular Sciences. 25(3). 1902–1902. 7 indexed citations
5.
Yang, Laurence T., et al.. (2023). Tensor-Empowered Adaptive Learning for Few-Shot Streaming Tasks. IEEE Transactions on Neural Networks and Learning Systems. 34(10). 6861–6871. 7 indexed citations
6.
Wang, Min, Jun Feng, Daixing Zhou, & Junshuai Wang. (2023). Bacterial lipopolysaccharide-induced endothelial activation and dysfunction: a new predictive and therapeutic paradigm for sepsis. European journal of medical research. 28(1). 339–339. 52 indexed citations
7.
Yang, Laurence T., et al.. (2022). Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance. IEEE Transactions on Network Science and Engineering. 10(5). 2503–2513. 14 indexed citations
8.
He, Yuanyuan, et al.. (2022). Ordinal Data Stream Collection with Condensed Local Differential Privacy. 562–569. 2 indexed citations
9.
Feng, Jun, Lina Liu, Yang He, et al.. (2021). Novel insights into the pathogenesis of virus-induced ARDS: review on the central role of the epithelial-endothelial barrier. Expert Review of Clinical Immunology. 17(9). 991–1001. 12 indexed citations
10.
Feng, Jun, Qin Xie, Tingrong Huang, et al.. (2021). Traditional Chinese medicine shenhuang granule in patients with severe/critical COVID-19: A randomized controlled multicenter trial. Phytomedicine. 89. 153612–153612. 44 indexed citations
11.
Wang, Yong, Zhiqiang Zhang, Leo Yu Zhang, et al.. (2020). A genetic algorithm for constructing bijective substitution boxes with high nonlinearity. Information Sciences. 523. 152–166. 102 indexed citations
12.
Yan, Peng-Fei, et al.. (2020). Expression of Microrna-210 and the Prognosis in Glioma Patients: A Meta-Analysis. Biomarkers in Medicine. 14(9). 795–805. 5 indexed citations
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16.
Zhu, Wei, et al.. (2012). Protective effect of sodium tanshinone IIA sulfonate on injury of small intestine in rats with sepsis and its mechanism. Chinese Journal of Integrative Medicine. 18(7). 496–501. 16 indexed citations
17.
Zhu, Wei, et al.. (2012). Protective effect of diallyl trisulfide on liver in rats with sepsis and the mechanism. Journal of Huazhong University of Science and Technology [Medical Sciences]. 32(5). 657–662. 6 indexed citations
18.
Chen, Jiaqi, Jun Feng, & Hao Yan. (2010). Authenticated tripartite key agreement protocol based on certificateless cryptography. Jisuanji yingyong yanjiu. 27(5). 1902–1904. 1 indexed citations
19.
20.
Feng, Jun & Toyohide Watanabe. (2003). Search of Continuous Nearest Target Objects along Route on Large Hierarchical Road Network. 50(1). 1–2. 4 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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