Feng Lyu

6.8k total citations · 3 hit papers
133 papers, 5.0k citations indexed

About

Feng Lyu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Feng Lyu has authored 133 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Computer Networks and Communications, 56 papers in Electrical and Electronic Engineering and 26 papers in Artificial Intelligence. Recurrent topics in Feng Lyu's work include Vehicular Ad Hoc Networks (VANETs) (25 papers), Caching and Content Delivery (22 papers) and Opportunistic and Delay-Tolerant Networks (22 papers). Feng Lyu is often cited by papers focused on Vehicular Ad Hoc Networks (VANETs) (25 papers), Caching and Content Delivery (22 papers) and Opportunistic and Delay-Tolerant Networks (22 papers). Feng Lyu collaborates with scholars based in China, Canada and United States. Feng Lyu's co-authors include Xuemin Shen, Nan Cheng, Ju Ren, Conghao Zhou, Haibo Zhou, Weisen Shi, Peng Yang, Wenchao Xu, Jiayin Chen and Hongli He and has published in prestigious journals such as Proceedings of the IEEE, Scientific Reports and IEEE Communications Surveys & Tutorials.

In The Last Decade

Feng Lyu

121 papers receiving 4.9k citations

Hit Papers

Space/Aerial-Assisted Com... 2019 2026 2021 2023 2019 2020 2022 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Feng Lyu 2.8k 2.3k 1.4k 1.1k 627 133 5.0k
Celimuge Wu 3.9k 1.4× 3.4k 1.5× 865 0.6× 1.3k 1.2× 1.1k 1.7× 323 6.4k
Yuan Wu 2.1k 0.7× 1.7k 0.7× 1.2k 0.9× 841 0.8× 511 0.8× 220 4.1k
Fengxiao Tang 3.0k 1.1× 3.0k 1.3× 1.4k 1.0× 1.4k 1.3× 433 0.7× 88 6.2k
Abderrahim Benslimane 2.6k 0.9× 2.0k 0.9× 585 0.4× 832 0.8× 642 1.0× 189 4.1k
Liping Qian 2.6k 0.9× 3.1k 1.4× 788 0.6× 588 0.5× 461 0.7× 207 4.8k
Linghe Kong 2.6k 0.9× 3.0k 1.3× 496 0.4× 832 0.8× 1.0k 1.6× 258 6.0k
Wei Ni 3.8k 1.3× 3.2k 1.4× 1.3k 1.0× 1.0k 1.0× 1.8k 2.9× 340 6.8k
Zhengguo Sheng 2.7k 1.0× 2.6k 1.1× 430 0.3× 476 0.4× 668 1.1× 170 4.8k
Hongzhi Guo 2.7k 1.0× 1.9k 0.8× 1.1k 0.8× 533 0.5× 736 1.2× 76 4.0k
Supeng Leng 4.9k 1.7× 3.9k 1.7× 660 0.5× 1.2k 1.1× 1.7k 2.7× 276 7.0k

Countries citing papers authored by Feng Lyu

Since Specialization
Citations

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

Fields of papers citing papers by Feng Lyu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Lyu

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Lyu. A scholar is included among the top collaborators of Feng Lyu 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 Lyu. Feng Lyu 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.
Yang, Peng, et al.. (2025). Enhancing Cooperative LiDAR-Based Perception Accuracy in Vehicular Edge Networks. IEEE Transactions on Intelligent Transportation Systems. 26(6). 8283–8296. 3 indexed citations
2.
Zhou, Conghao, et al.. (2024). A Two-Dimensional Hybrid Federated Learning Framework for Secure Data Cooperation of Multiple Network Service Providers. IEEE Wireless Communications. 31(5). 215–222.
3.
Li, Ruoyu, Qing Li, Dan Zhao, et al.. (2024). IoTGemini: Modeling IoT Network Behaviors for Synthetic Traffic Generation. IEEE Transactions on Mobile Computing. 23(12). 13240–13257. 2 indexed citations
4.
Zhang, Lina, Zhanwen Wang, Feng Lyu, et al.. (2023). Characterizing distinct profiles of immune and inflammatory response with age to Omicron infection. Frontiers in Immunology. 14. 1189482–1189482. 2 indexed citations
5.
Lyu, Feng, Huaqing Wu, Jie Zhang, et al.. (2023). FL-AMM: Federated Learning Augmented Map Matching With Heterogeneous Cellular Moving Trajectories. IEEE Journal on Selected Areas in Communications. 41(12). 3878–3892. 22 indexed citations
6.
Liu, Mingliu, Fan Wu, Huaqing Wu, et al.. (2023). MSM: Mobility-Aware Service Migration for Seamless Provision: A Data-Driven Approach. IEEE Internet of Things Journal. 10(17). 15690–15704. 6 indexed citations
7.
Duan, Sijing, Feng Lyu, Ju Ren, et al.. (2022). Multitype Highway Mobility Analytics for Efficient Learning Model Design: A Case of Station Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems. 23(10). 19484–19496. 8 indexed citations
8.
Chen, Jiayin, et al.. (2021). Adaptive Resource Allocation for Diverse Safety Message Transmissions in Vehicular Networks. IEEE Transactions on Intelligent Transportation Systems. 23(8). 13482–13497. 13 indexed citations
9.
Ren, Ju, et al.. (2020). Joint Channel Allocation and Resource Management for Stochastic Computation Offloading in MEC. IEEE Transactions on Vehicular Technology. 69(8). 8900–8913. 55 indexed citations
10.
Chen, Jiayin, Huaqing Wu, Peng Yang, Feng Lyu, & Xuemin Shen. (2020). Cooperative Edge Caching With Location-Based and Popular Contents for Vehicular Networks. IEEE Transactions on Vehicular Technology. 69(9). 10291–10305. 88 indexed citations
11.
Lyu, Feng, Jianping Li, & Xuemin Shen. (2020). Vehicular Networking for Road Safety. 1 indexed citations
12.
Ai, Bo, Yong Niu, Wen Wu, et al.. (2020). Efficient Hybrid Beamforming With Anti-Blockage Design for High-Speed Railway Communications. IEEE Transactions on Vehicular Technology. 69(9). 9643–9655. 29 indexed citations
13.
Wu, Fan, et al.. (2020). Multi-Path Selection and Congestion Control for NDN: An Online Learning Approach. IEEE Transactions on Network and Service Management. 18(2). 1977–1989. 31 indexed citations
14.
Lyu, Feng, Ju Ren, Nan Cheng, et al.. (2020). LeaD: Large-Scale Edge Cache Deployment Based on Spatio-Temporal WiFi Traffic Statistics. IEEE Transactions on Mobile Computing. 20(8). 2607–2623. 116 indexed citations
15.
Zhou, Conghao, Wen Wu, Hongli He, et al.. (2019). Delay-Aware IoT Task Scheduling in Space-Air-Ground Integrated Network. 1–6. 53 indexed citations
16.
Xu, Wenchao, Weisen Shi, Feng Lyu, et al.. (2019). Throughput Analysis of Vehicular Internet Access via Roadside WiFi Hotspot. IEEE Transactions on Vehicular Technology. 68(4). 3980–3991. 30 indexed citations
17.
Wu, Fan, Wang Yang, Ju Ren, et al.. (2019). Named Data Networking Enabled Power Saving Mode Design for WLAN. IEEE Transactions on Vehicular Technology. 69(1). 901–913. 17 indexed citations
18.
Qian, Bo, Haibo Zhou, Feng Lyu, et al.. (2019). Toward Collision-Free and Efficient Coordination for Automated Vehicles at Unsignalized Intersection. IEEE Internet of Things Journal. 6(6). 10408–10420. 72 indexed citations
19.
Lyu, Feng, Hongzi Zhu, Haibo Zhou, et al.. (2018). MoMAC: Mobility-Aware and Collision-Avoidance MAC for Safety Applications in VANETs. IEEE Transactions on Vehicular Technology. 67(11). 10590–10602. 74 indexed citations
20.
Lyu, Feng, Hongzi Zhu, Haibo Zhou, et al.. (2017). SS-MAC: A Novel Time Slot-Sharing MAC for Safety Messages Broadcasting in VANETs. IEEE Transactions on Vehicular Technology. 67(4). 3586–3597. 65 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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