Qi Feng

1.7k total citations · 1 hit paper
35 papers, 1.1k citations indexed

About

Qi Feng is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Qi Feng has authored 35 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Artificial Intelligence, 17 papers in Information Systems and 12 papers in Computer Networks and Communications. Recurrent topics in Qi Feng's work include Cryptography and Data Security (22 papers), Privacy-Preserving Technologies in Data (14 papers) and Blockchain Technology Applications and Security (8 papers). Qi Feng is often cited by papers focused on Cryptography and Data Security (22 papers), Privacy-Preserving Technologies in Data (14 papers) and Blockchain Technology Applications and Security (8 papers). Qi Feng collaborates with scholars based in China, United States and India. Qi Feng's co-authors include Debiao He, Sherali Zeadally, Neeraj Kumar, Muhammad Khurram Khan, Kaitai Liang, Huaqun Wang, Kim‐Kwang Raymond Choo, Zhe Liu, Min Luo and Ding Wang and has published in prestigious journals such as The Science of The Total Environment, Communications of the ACM and IEEE Transactions on Industrial Informatics.

In The Last Decade

Qi Feng

28 papers receiving 1.1k citations

Hit Papers

A survey on privacy protection in blockchain system 2018 2026 2020 2023 2018 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Feng China 10 828 456 451 213 121 35 1.1k
Jianbin Gao China 17 1.3k 1.6× 495 1.1× 718 1.6× 225 1.1× 116 1.0× 57 1.6k
Peizhao Hu Australia 12 703 0.8× 241 0.5× 607 1.3× 183 0.9× 156 1.3× 43 1.1k
Junfeng Xie China 6 673 0.8× 318 0.7× 849 1.9× 238 1.1× 70 0.6× 13 1.3k
Deepak K. Tosh United States 19 1.1k 1.3× 343 0.8× 698 1.5× 82 0.4× 66 0.5× 72 1.4k
Saif Ur Rehman Malik Pakistan 24 827 1.0× 654 1.4× 802 1.8× 207 1.0× 93 0.8× 81 1.6k
Paola Grosso Netherlands 16 517 0.6× 235 0.5× 723 1.6× 181 0.8× 42 0.3× 119 1.2k
Rolf Stadler Sweden 22 896 1.1× 380 0.8× 1.4k 3.1× 163 0.8× 88 0.7× 119 1.9k
Wenmin Lin China 14 403 0.5× 252 0.6× 448 1.0× 136 0.6× 99 0.8× 34 857
Félix Cuadrado United Kingdom 15 303 0.4× 214 0.5× 478 1.1× 86 0.4× 101 0.8× 53 761

Countries citing papers authored by Qi Feng

Since Specialization
Citations

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

Fields of papers citing papers by Qi Feng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Feng

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Feng. A scholar is included among the top collaborators of Qi 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 Qi Feng. Qi 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.
Li, Hongjun, et al.. (2025). A Dynamic and Secure Join Query Protocol for Multi-User Environment in Cloud Computing. IEEE Transactions on Cloud Computing. 13(2). 512–525.
2.
He, Debiao, et al.. (2025). EPAuto: Efficient Privacy-Preserving Machine Learning on AI-powered Autonomous Driving Systems using Multi-Party Computation. ACM Transactions on Autonomous and Adaptive Systems. 2 indexed citations
3.
Yu, Peng, Qi Feng, Debiao He, & Min Luo. (2025). A survey on threshold digital signature schemes. Frontiers of Computer Science. 20(4).
4.
He, Debiao, et al.. (2025). Verifiable and Forward-Secure Multikeyword Query in Internet of Medical Things. IEEE Internet of Things Journal. 12(13). 23809–23822.
5.
Feng, Qi, et al.. (2024). Multi-party privacy-preserving decision tree training with a privileged party. Science China Information Sciences. 67(8). 3 indexed citations
6.
Belchior, Rafael, et al.. (2024). A Brief History of Blockchain Interoperability. Communications of the ACM. 67(10). 62–69. 9 indexed citations
7.
Liu, Wen, et al.. (2024). Multi-objective optimization of the spatial layout of green infrastructures with cost-effectiveness analysis under climate change scenarios. The Science of The Total Environment. 948. 174851–174851. 9 indexed citations
8.
Peng, Cong, et al.. (2024). Ciphertext Range Query Scheme Against Agent Transfer and Permission Extension Attacks for Cloud Computing. IEEE Internet of Things Journal. 11(10). 17975–17988. 1 indexed citations
9.
He, Debiao, et al.. (2024). SecureGPT: A Framework for Multi-Party Privacy-Preserving Transformer Inference in GPT. IEEE Transactions on Information Forensics and Security. 19. 9480–9493.
10.
Bao, Zijian, Debiao He, Qi Feng, Min Luo, & Xiangyong Zeng. (2023). Constant-Size Verifiable Timed Signatures from RSA Group for Bitcoin-Based Voting Protocols. IEEE Transactions on Services Computing. 17(4). 1414–1425.
11.
Jia, Xiaoying, et al.. (2023). A Privacy-Aware K-Nearest Neighbor Query Scheme for Location-Based Services. IEEE Internet of Things Journal. 11(6). 10831–10842. 3 indexed citations
12.
Feng, Qi, Debiao He, Min Luo, Xinyi Huang, & Kim‐Kwang Raymond Choo. (2023). EPRICE: An Efficient and Privacy-Preserving Real-Time Incentive System for Crowdsensing in Industrial Internet of Things. IEEE Transactions on Computers. 72(9). 2482–2495. 14 indexed citations
13.
Feng, Qi, Kang Yang, Mimi Ma, & Debiao He. (2023). Efficient Multi-Party EdDSA Signature With Identifiable Aborts and its Applications to Blockchain. IEEE Transactions on Information Forensics and Security. 18. 1937–1950. 10 indexed citations
14.
He, Debiao, et al.. (2022). The Applications of Blockchain in the Covert Communication. Wireless Communications and Mobile Computing. 2022(1). 6 indexed citations
15.
Luo, Min, et al.. (2022). A Security-Enhanced Pairing-Free Certificateless Aggregate Signature for Vehicular Ad-Hoc Networks. IEEE Systems Journal. 17(3). 3822–3833. 14 indexed citations
16.
Feng, Qi, Debiao He, Huaqun Wang, Ding Wang, & Xinyi Huang. (2020). Multi‐party key generation protocol for the identity‐based signature scheme in the IEEE P1363 standard for public key cryptography. IET Information Security. 14(6). 724–732. 7 indexed citations
17.
Feng, Qi, Debiao He, Sherali Zeadally, & Kaitai Liang. (2019). BPAS: Blockchain-Assisted Privacy-Preserving Authentication System for Vehicular Ad Hoc Networks. IEEE Transactions on Industrial Informatics. 16(6). 4146–4155. 186 indexed citations
18.
Feng, Qi, Debiao He, Huaqun Wang, Lu Zhou, & Kim‐Kwang Raymond Choo. (2019). Lightweight Collaborative Authentication With Key Protection for Smart Electronic Health Record System. IEEE Sensors Journal. 20(4). 2181–2196. 27 indexed citations
19.
Feng, Qi, et al.. (2016). Research on Network Defense Graph Model in Network Security. International Journal of Security and Its Applications. 10(11). 23–32.
20.
Feng, Qi, et al.. (2011). IP traceback in GPRS. 283–287. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026