Feng Qi

1.8k total citations · 1 hit paper
80 papers, 1.3k citations indexed

About

Feng Qi is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Feng Qi has authored 80 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Networks and Communications, 26 papers in Information Systems and 22 papers in Electrical and Electronic Engineering. Recurrent topics in Feng Qi's work include IoT and Edge/Fog Computing (20 papers), Blockchain Technology Applications and Security (14 papers) and Privacy-Preserving Technologies in Data (10 papers). Feng Qi is often cited by papers focused on IoT and Edge/Fog Computing (20 papers), Blockchain Technology Applications and Security (14 papers) and Privacy-Preserving Technologies in Data (10 papers). Feng Qi collaborates with scholars based in China, United States and Hong Kong. Feng Qi's co-authors include Shaoyong Guo, Xuesong Qiu, Song Guo, Xing Hu, Sujie Shao, Yixiang Wang, Siya Xu, Zhili Wang, Yunzhao Li and Tailong Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Communications Magazine.

In The Last Decade

Feng Qi

66 papers receiving 1.2k citations

Hit Papers

Blockchain Meets Edge Computing: A Distributed and Truste... 2019 2026 2021 2023 2019 50 100 150 200
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. Blockchain Meets Edge Computing: A Distributed and Trusted Authentication System
    2019 236 citations Shaoyong Guo, Xing Hu et al. IEEE Transactions on Industrial Informatics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Qi China 19 721 587 308 288 116 80 1.3k
Sachin Kumar India 21 496 0.7× 542 0.9× 468 1.5× 238 0.8× 103 0.9× 110 1.3k
Shidrokh Goudarzi Malaysia 20 636 0.9× 225 0.4× 303 1.0× 603 2.1× 91 0.8× 55 1.2k
Wan Haslina Hassan Malaysia 16 884 1.2× 477 0.8× 366 1.2× 473 1.6× 87 0.8× 60 1.4k
Kim Khoa Nguyen Canada 21 723 1.0× 224 0.4× 190 0.6× 578 2.0× 80 0.7× 162 1.3k
Jian Ma China 19 977 1.4× 607 1.0× 409 1.3× 439 1.5× 162 1.4× 82 1.7k
Zhe Yang China 11 813 1.1× 960 1.6× 431 1.4× 592 2.1× 157 1.4× 20 1.7k
Amirreza Niakanlahiji United States 8 846 1.2× 468 0.8× 168 0.5× 254 0.9× 165 1.4× 15 1.1k
Zhe Peng China 18 404 0.6× 415 0.7× 427 1.4× 130 0.5× 125 1.1× 57 1.0k
Roberto Girau Italy 17 773 1.1× 391 0.7× 207 0.7× 222 0.8× 127 1.1× 45 1.1k
Seyed Ahmad Soleymani Malaysia 18 474 0.7× 175 0.3× 228 0.7× 493 1.7× 57 0.5× 39 886

Countries citing papers authored by Feng Qi

Since Specialization
Citations

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

Fields of papers citing papers by Feng Qi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Qi

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Qi. A scholar is included among the top collaborators of Feng Qi 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 Feng Qi. Feng Qi 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.
Guo, Shaoyong, et al.. (2025). DDoS Attack Detection in Business Blockchain Networks: A Review, Framework, and Challenges. IEEE Transactions on Network Science and Engineering. 13. 906–929.
2.
Tong, Rosemarie, Shaoyong Guo, Xuesong Qiu, Feng Qi, & Dongxiao Yu. (2025). GCN and DRL based on dependent task offloading mechanism in edge computing. Digital Communications and Networks. 12(3). 397–404.
3.
Yu, Pengfei, et al.. (2025). Computing Sandbox Driven Secure Edge Computing System for Industrial IoT. IEEE Transactions on Network and Service Management. 22(5). 4538–4550.
4.
Qi, Feng, et al.. (2024). The impact of trees on the peak cooling load of detached rural residences. Energy and Buildings. 317. 114311–114311. 6 indexed citations
5.
Zhang, Tailong, et al.. (2024). Study on the daily thermal radiation iso-disturbance on a building by trees in summer. Urban forestry & urban greening. 99. 128468–128468. 7 indexed citations
6.
Cao, Jianjun, et al.. (2024). Impacts of coordinated development policies on urban heat islands in the Beijing-Tianjin-Hebei urban agglomeration, China. Sustainable Cities and Society. 112. 105614–105614. 10 indexed citations
7.
Guo, Shaoyong, et al.. (2024). DPU-Enhanced Multi-Agent Actor-Critic Algorithm for Cross-Domain Resource Scheduling in Computing Power Network. IEEE Transactions on Network and Service Management. 21(6). 6008–6025. 3 indexed citations
8.
Li, Qichen, et al.. (2024). Communication-efficient Federated Learning Framework with Parameter-Ordered Dropout. 1195–1200. 1 indexed citations
9.
Zhang, Tailong, et al.. (2023). Influence of Arbor on the Cooling Load Characteristics of Rural Houses—A Case Study in the Region of Hangzhou. Sustainability. 15(8). 6853–6853. 2 indexed citations
10.
Guo, Shaoyong, et al.. (2022). Sandbox Computing: A Data Privacy Trusted Sharing Paradigm via Blockchain and Federated Learning. IEEE Transactions on Computers. 1–12. 21 indexed citations
11.
Yan, Yong, et al.. (2021). Secure Data Sharing: Blockchain-Enabled Data Access Control Framework for IoT. IEEE Internet of Things Journal. 9(11). 8143–8153. 34 indexed citations
12.
Guo, Shaoyong, et al.. (2021). Federated Learning Meets Blockchain: State Channel-Based Distributed Data-Sharing Trust Supervision Mechanism. IEEE Internet of Things Journal. 10(14). 12066–12076. 17 indexed citations
13.
Guo, Shaoyong, et al.. (2020). Joint DNN Partition Deployment and Resource Allocation for Delay-Sensitive Deep Learning Inference in IoT. IEEE Internet of Things Journal. 7(10). 9241–9254. 98 indexed citations
14.
Guo, Shaoyong, et al.. (2020). Blockchain Meets Edge Computing: Stackelberg Game and Double Auction Based Task Offloading for Mobile Blockchain. IEEE Transactions on Vehicular Technology. 69(5). 5549–5561. 115 indexed citations
15.
Xu, Siya, Bei Gong, Feng Qi, et al.. (2020). RJCC: Reinforcement-Learning-Based Joint Communicational-and-Computational Resource Allocation Mechanism for Smart City IoT. IEEE Internet of Things Journal. 7(9). 8059–8076. 27 indexed citations
16.
Guo, Shaoyong, Xing Hu, Song Guo, Xuesong Qiu, & Feng Qi. (2019). Blockchain Meets Edge Computing: A Distributed and Trusted Authentication System. IEEE Transactions on Industrial Informatics. 16(3). 1972–1983. 236 indexed citations breakdown →
17.
Guo, Shaoyong, et al.. (2019). Trusted Cloud-Edge Network Resource Management: DRL-Driven Service Function Chain Orchestration for IoT. IEEE Internet of Things Journal. 7(7). 6010–6022. 71 indexed citations
18.
Chen, Shuangshuang, Yue Shi, Xingyu Chen, & Feng Qi. (2015). Optimal location of electric vehicle charging stations using genetic algorithm. 372–375. 25 indexed citations
19.
Qi, Feng. (2006). A novel model of feature recognition based on RBF neural networks. Annual Conference on Computers. 109–113. 1 indexed citations
20.
Qi, Feng. (2005). Establishment of urban seismic emergency management system database. 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.

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