Jun Wu

8.8k total citations · 3 hit papers
315 papers, 6.2k citations indexed

About

Jun Wu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Wu has authored 315 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 172 papers in Computer Networks and Communications, 106 papers in Artificial Intelligence and 98 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Wu's work include IoT and Edge/Fog Computing (79 papers), Privacy-Preserving Technologies in Data (52 papers) and Caching and Content Delivery (49 papers). Jun Wu is often cited by papers focused on IoT and Edge/Fog Computing (79 papers), Privacy-Preserving Technologies in Data (52 papers) and Caching and Content Delivery (49 papers). Jun Wu collaborates with scholars based in China, Japan and United Kingdom. Jun Wu's co-authors include Jianhua Li, Wu Yang, Mianxiong Dong, Kaoru Ota, Zhitao Guan, Gaolei Li, Xi Lin, Ali Kashif Bashir, Mohsen Guizani and Shahid Mumtaz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Jun Wu

291 papers receiving 6.0k citations

Hit Papers

align trajectories sort by overperformance

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.

A Survey on Green 6G Network: Architecture and Technologies

2019 345 citations Wu Yang, Jun Wu et al. profile →
A Survey on Smart Agriculture: Development Modes, Technologies, and Security and Privacy Challenges

2020 277 citations Jun Wu et al. profile →
A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools

2023 143 citations Hansong Xu, Jun Wu et al. profile →

Author Peers

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

Author						Papers	Cites
Jun Wu	3.1k	2.0k	1.7k	1.7k	593	315	6.2k
Mohammed Aledhari	4.2k 1.4×	2.5k 1.2×	1.6k 0.9×	1.2k 0.7×	340 0.6×	25	6.5k
Mehdi Mohammadi	4.1k 1.3×	2.7k 1.3×	1.3k 0.7×	873 0.5×	330 0.6×	35	6.4k
Ching‐Hsien Hsu	3.2k 1.0×	1.1k 0.6×	2.3k 1.3×	1.2k 0.7×	311 0.5×	261	5.8k
Sahil Garg	3.9k 1.3×	1.9k 0.9×	2.3k 1.3×	2.4k 1.5×	603 1.0×	254	7.3k
Moussa Ayyash	4.3k 1.4×	3.2k 1.6×	1.3k 0.8×	813 0.5×	335 0.6×	70	6.9k
Ahmad Almogren	3.6k 1.2×	2.2k 1.1×	2.4k 1.4×	1.8k 1.1×	844 1.4×	348	8.8k
Shancang Li	4.2k 1.4×	2.0k 1.0×	2.3k 1.4×	1.6k 1.0×	475 0.8×	77	8.1k
Youhuizi Li	4.0k 1.3×	1.6k 0.8×	2.0k 1.2×	1.2k 0.7×	318 0.5×	43	6.0k
Amir Masoud Rahmani	5.6k 1.8×	1.5k 0.7×	3.5k 2.0×	1.7k 1.0×	312 0.5×	473	8.7k
Wazir Zada Khan	1.9k 0.6×	845 0.4×	1.4k 0.8×	963 0.6×	289 0.5×	104	4.4k

Countries citing papers authored by Jun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Jun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Wu. A scholar is included among the top collaborators of Jun Wu 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 Wu. Jun Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Pan, Qianqian, et al.. (2025). Program Interoperable Large Language Model Software Testing Scheme: A Case Study on JavaScript Engine Fuzzing. IEEE Transactions on Dependable and Secure Computing. 22(6). 6179–6195.

Li, Gaolei, et al.. (2025). SemanAegis: Toward Credential-Aware Semantic Communication Against Knowledge Leakage Threats. IEEE Transactions on Mobile Computing. 25(4). 5032–5049.

Wu, Jun, et al.. (2025). Protecting Your Attention During Distributed Graph Learning: Efficient Privacy-Preserving Federated Graph Attention Network. IEEE Transactions on Information Forensics and Security. 20. 1949–1964. 1 indexed citations

Wu, Jun, et al.. (2024). Stochastic thermodynamics of micromagnetics with spin torque. Journal of Statistical Mechanics Theory and Experiment. 2024(8). 83213–83213. 1 indexed citations

Pan, Qianqian, et al.. (2024). Affection-Centric Metaverse in 6G: Initiative Learning Based In-Network Human-Like Sentimental Analysis. IEEE Communications Magazine. 62(12). 66–73.

Pan, Qianqian, et al.. (2024). IRS-Aided Federated Learning with Dynamic Differential Privacy for UAVs in Emergency Response. IEEE Internet of Things Magazine. 7(4). 108–115. 6 indexed citations

Sun, Kangkang, Lizheng Liu, Qianqian Pan, Jianhua Li, & Jun Wu. (2024). Large-Scale Mean-Field Federated Learning for Detection and Defense: A Byzantine Robustness Approach in IoT. IEEE Internet of Things Journal. 11(22). 36370–36383. 2 indexed citations

Wu, Jun, et al.. (2024). O-RAN-Based Digital Twin Function Virtualization for Sustainable IoV Service Response: An Asynchronous Hierarchical Reinforcement Learning Approach. IEEE Transactions on Green Communications and Networking. 8(3). 1049–1060. 2 indexed citations

Wu, Jun, et al.. (2024). Energy Harvesting Design for Cooperative Reconfigurable Intelligent Surface with Multi-Agent Deep Reinforcement Learning. 42–46.

10.

Pan, Qianqian & Jun Wu. (2024). AI-Finger: From Physical Unclonable Function to AI-Hardware Fingerprint. 167–172.

11.

Sun, Kangkang, Jun Wu, Ali Kashif Bashir, et al.. (2024). Personalized Privacy-Preserving Distributed Artificial Intelligence for Digital-Twin-Driven Vehicle Road Cooperation. IEEE Internet of Things Journal. 11(22). 35902–35916. 4 indexed citations

12.

Wang, Wenqi, Zhiheng Zhang, Yuanlin Liu, et al.. (2024). Large screen size transparent display using spectrum expanded light field holograms. Optics Express. 33(2). 1883–1883.

13.

Wu, Jun, et al.. (2023). Blockchain and digital twin empowered trustworthy self-healing for edge-AI enabled industrial Internet of things. Information Sciences. 642. 119169–119169. 23 indexed citations

14.

Li, Jifeng, Xingtang He, Weidong Li, Mingze Zhang, & Jun Wu. (2023). Low-carbon optimal learning scheduling of the power system based on carbon capture system and carbon emission flow theory. Electric Power Systems Research. 218. 109215–109215. 34 indexed citations

15.

Ayoub, Omran, et al.. (2023). Routing, Channel, Key-Rate, and Time-Slot Assignment for QKD in Optical Networks. IEEE Transactions on Network and Service Management. 21(1). 148–160. 23 indexed citations

16.

Lin, Xi, Jun Wu, Ali Kashif Bashir, et al.. (2022). FairHealth: Long-Term Proportional Fairness-Driven 5G Edge Healthcare in Internet of Medical Things. IEEE Transactions on Industrial Informatics. 18(12). 8905–8915. 18 indexed citations

17.

Wu, Jun, et al.. (2021). Sema-IIoVT: Emergent Semantic-Based Trustworthy Information-Centric Fog System and Testbed for Intelligent Internet of Vehicles. IEEE Consumer Electronics Magazine. 12(1). 70–79. 12 indexed citations

18.

Wu, Jun, et al.. (2020). Cognitive Popularity Based AI Service Sharing for Software-Defined Information-Centric Networks. IEEE Transactions on Network Science and Engineering. 7(4). 2126–2136. 22 indexed citations

19.

Li, Jianan, Jun Wu, Guangquan Xu, et al.. (2019). Integrating NFV and ICN for Advanced Driver-Assistance Systems. IEEE Internet of Things Journal. 7(7). 5861–5873. 21 indexed citations

20.

Sato, Takuro, Daniel M. Kammen, Bin Duan, et al.. (2015). Smart Grid Standards: Specifications, Requirements, and Technologies. CERN Bulletin. 26 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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