Shu Fu

3.1k total citations · 1 hit paper
82 papers, 2.3k citations indexed

About

Shu Fu is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Aerospace Engineering. According to data from OpenAlex, Shu Fu has authored 82 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Electrical and Electronic Engineering, 48 papers in Computer Networks and Communications and 29 papers in Aerospace Engineering. Recurrent topics in Shu Fu's work include Advanced MIMO Systems Optimization (21 papers), Advanced Wireless Communication Technologies (19 papers) and UAV Applications and Optimization (15 papers). Shu Fu is often cited by papers focused on Advanced MIMO Systems Optimization (21 papers), Advanced Wireless Communication Technologies (19 papers) and UAV Applications and Optimization (15 papers). Shu Fu collaborates with scholars based in China, Canada and United Kingdom. Shu Fu's co-authors include Huihui Zhang, Yuhan Dong, Julian Cheng, Lian Zhao, Xin Jian, Jie Gao, Bin Wu, Chen Chen, Ning Zhang and Zhiguo Ding and has published in prestigious journals such as Journal of Cleaner Production, IEEE Communications Surveys & Tutorials and IEEE Access.

In The Last Decade

Shu Fu

77 papers receiving 2.3k citations

Hit Papers

A Survey of Underwater Optical Wireless Communications 2016 2026 2019 2022 2016 250 500 750
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. A Survey of Underwater Optical Wireless Communications
    2016 930 citations Shu Fu 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
Shu Fu China 22 1.7k 843 781 749 224 82 2.3k
Abdulkadir Çelik Saudi Arabia 23 1.5k 0.9× 584 0.7× 546 0.7× 549 0.7× 118 0.5× 106 1.9k
Junhai Luo China 20 1.0k 0.6× 916 1.1× 331 0.4× 581 0.8× 126 0.6× 74 2.0k
Shengming Jiang China 25 1.1k 0.6× 1.6k 1.8× 142 0.2× 486 0.6× 142 0.6× 148 2.2k
Shuai Han China 27 1.3k 0.8× 660 0.8× 1.1k 1.3× 228 0.3× 91 0.4× 210 2.2k
Abla Kammoun Saudi Arabia 21 1.6k 0.9× 427 0.5× 737 0.9× 314 0.4× 100 0.4× 116 1.9k
Deshi Li China 19 672 0.4× 749 0.9× 366 0.5× 278 0.4× 248 1.1× 112 1.5k
Marcos A. M. Vieira Brazil 17 1.1k 0.6× 991 1.2× 112 0.1× 191 0.3× 114 0.5× 122 1.8k
Luiz F. M. Vieira Brazil 29 2.6k 1.5× 2.3k 2.7× 215 0.3× 2.3k 3.1× 74 0.3× 142 3.8k
Paul Mitchell United Kingdom 22 1.2k 0.7× 831 1.0× 299 0.4× 504 0.7× 29 0.1× 145 1.7k
Fangjiong Chen China 29 2.1k 1.3× 781 0.9× 663 0.8× 386 0.5× 120 0.5× 182 2.8k

Countries citing papers authored by Shu Fu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Fu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Fu. A scholar is included among the top collaborators of Shu Fu 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 Shu Fu. Shu Fu 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.
2.
Wang, Weiqi, Shu Fu, Liang Yang, Chunguo Li, & Yanzhi Ren. (2025). Age of Information Optimization for UAV Deployment With Covert Communication: A Deep Reinforcement Learning Approach. IEEE Transactions on Vehicular Technology. 74(12). 19772–19776. 1 indexed citations
3.
Fu, Shu, Wei Wei, Liuguo Yin, & Lian Zhao. (2025). Joint Optimization of 3-D Placement and Transmission Power for a Relay Based Covert Communication System. IEEE Transactions on Communications. 73(11). 12637–12651.
4.
Zeng, Wen, Shu Fu, & Boya Di. (2025). Optimal Covert Age of Information for ARIS-Assisted Covert Communication System. IEEE Wireless Communications Letters. 14(8). 2277–2281. 1 indexed citations
5.
6.
Fang, Fang, et al.. (2024). Client Selection and Cost-Efficient Joint Optimization for NOMA-Enabled Hierarchical Federated Learning. IEEE Transactions on Wireless Communications. 23(10). 14289–14303. 7 indexed citations
7.
Fu, Shu, et al.. (2023). Caching Placement Optimization in UAV-Assisted Cellular Networks: A Deep Reinforcement Learning-Based Framework. IEEE Wireless Communications Letters. 12(8). 1359–1363. 13 indexed citations
8.
Fan, Qilin, et al.. (2023). COCAM: a cooperative video edge caching and multicasting approach based on multi-agent deep reinforcement learning in multi-clouds environment. Journal of Cloud Computing Advances Systems and Applications. 12(1). 2 indexed citations
9.
Fu, Shu, et al.. (2022). Towards Energy-Efficient Data Collection by Unmanned Aerial Vehicle Base Station With NOMA for Emergency Communications in IoT. IEEE Transactions on Vehicular Technology. 72(1). 1211–1223. 33 indexed citations
10.
Chen, Chen, et al.. (2022). 2D Generalized Optical Spatial Modulation for MIMO-OWC Systems. IEEE photonics journal. 14(4). 1–6. 4 indexed citations
11.
Fang, Fang, et al.. (2022). Energy-Efficient Design of STAR-RIS Aided MIMO-NOMA Networks. IEEE Transactions on Communications. 71(1). 498–511. 54 indexed citations
12.
Chen, Chen, et al.. (2021). Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation. arXiv (Cornell University). 11 indexed citations
13.
Chen, Chen, Shu Fu, Xin Jian, et al.. (2021). NOMA for Energy-Efficient LiFi-Enabled Bidirectional IoT Communication. IEEE Transactions on Communications. 69(3). 1693–1706. 71 indexed citations
14.
Dai, Cui‐Qin, et al.. (2020). Dynamic Scheduling for Emergency Tasks in Space Data Relay Network. IEEE Transactions on Vehicular Technology. 70(1). 795–807. 27 indexed citations
15.
Dai, Cui‐Qin, et al.. (2020). Dynamic User Association for Resilient Backhauling in Satellite–Terrestrial Integrated Networks. IEEE Systems Journal. 14(4). 5025–5036. 29 indexed citations
16.
Dai, Cui‐Qin, et al.. (2019). Contact Plan Design With Directional Space-Time Graph in Two-Layer Space Communication Networks. IEEE Internet of Things Journal. 6(6). 10862–10874. 12 indexed citations
17.
Fu, Shu, Fang Fang, Lian Zhao, Zhiguo Ding, & Xin Jian. (2019). Joint Transmission Scheduling and Power Allocation in Non-Orthogonal Multiple Access. IEEE Transactions on Communications. 67(11). 8137–8150. 27 indexed citations
18.
Fu, Shu, Zhou Su, Yunjian Jia, et al.. (2017). Interference Cooperation via Distributed Game in 5G Networks. IEEE Internet of Things Journal. 6(1). 311–320. 19 indexed citations
19.
Fu, Shu, Haibo Zhou, Jian Qiao, et al.. (2017). Distributed Transmission Scheduling and Power Allocation in CoMP. IEEE Systems Journal. 12(4). 3096–3107. 5 indexed citations
20.
Liang, Liang, Wen Wang, Yunjian Jia, & Shu Fu. (2016). A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks. IEEE Access. 4. 6823–6832. 62 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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