Kezhi Wang

14.6k total citations · 13 hit papers
222 papers, 10.3k citations indexed

About

Kezhi Wang is a scholar working on Electrical and Electronic Engineering, Aerospace Engineering and Computer Networks and Communications. According to data from OpenAlex, Kezhi Wang has authored 222 papers receiving a total of 10.3k indexed citations (citations by other indexed papers that have themselves been cited), including 136 papers in Electrical and Electronic Engineering, 93 papers in Aerospace Engineering and 92 papers in Computer Networks and Communications. Recurrent topics in Kezhi Wang's work include Advanced Wireless Communication Technologies (92 papers), UAV Applications and Optimization (58 papers) and IoT and Edge/Fog Computing (47 papers). Kezhi Wang is often cited by papers focused on Advanced Wireless Communication Technologies (92 papers), UAV Applications and Optimization (58 papers) and IoT and Edge/Fog Computing (47 papers). Kezhi Wang collaborates with scholars based in United Kingdom, China and United States. Kezhi Wang's co-authors include Cunhua Pan, Hong Ren, Arumugam Nallanathan, Kun Yang, Maged Elkashlan, Wei Xu, Lajos Hanzo, Jiangzhou Wang, Gui Zhou and Pei-Qiu Huang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Information Theory and Applied Energy.

In The Last Decade

Kezhi Wang

205 papers receiving 10.1k citations

Hit Papers

Multicell MIMO Communications Relying on Intelligent Refl... 2019 2026 2021 2023 2020 2020 2021 2020 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kezhi Wang United Kingdom 49 7.0k 5.6k 3.4k 1.2k 726 222 10.3k
Cunhua Pan China 61 12.3k 1.8× 7.6k 1.4× 4.1k 1.2× 810 0.7× 689 0.9× 375 15.3k
Nan Zhao China 63 10.1k 1.4× 7.0k 1.3× 6.4k 1.9× 1.2k 1.0× 1.5k 2.1× 525 14.8k
Changsheng You China 38 8.7k 1.2× 4.2k 0.7× 6.4k 1.9× 908 0.8× 1.2k 1.6× 134 12.9k
Lingyang Song China 77 13.7k 2.0× 5.9k 1.1× 8.7k 2.6× 975 0.8× 963 1.3× 497 18.2k
Jiangzhou Wang United Kingdom 50 9.7k 1.4× 4.1k 0.7× 4.2k 1.3× 249 0.2× 715 1.0× 497 11.5k
Naofal Al‐Dhahir United States 58 13.2k 1.9× 4.2k 0.7× 5.9k 1.7× 374 0.3× 1.1k 1.5× 589 15.2k
Kai‐Kit Wong United Kingdom 68 14.9k 2.1× 5.8k 1.0× 8.0k 2.4× 715 0.6× 1.5k 2.0× 699 18.4k
Fuhui Zhou China 47 5.5k 0.8× 3.2k 0.6× 3.2k 0.9× 704 0.6× 768 1.1× 278 7.6k
Miaowen Wen China 50 8.1k 1.1× 2.3k 0.4× 2.7k 0.8× 269 0.2× 614 0.8× 394 9.7k
Arumugam Nallanathan United Kingdom 73 18.7k 2.7× 7.2k 1.3× 9.8k 2.9× 965 0.8× 1.5k 2.0× 732 23.1k

Countries citing papers authored by Kezhi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Kezhi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kezhi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Kezhi Wang. A scholar is included among the top collaborators of Kezhi Wang 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 Kezhi Wang. Kezhi Wang 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.
Wang, Kezhi, et al.. (2025). Secure and Private Over-the-Air Federated Learning: Biased and Unbiased Aggregation Design. IEEE Transactions on Wireless Communications. 24(7). 5901–5916. 1 indexed citations
2.
Sun, Minghao, et al.. (2025). LLM-Based Task Offloading and Resource Allocation in Satellite Edge Computing Networks. IEEE Transactions on Vehicular Technology. 75(3). 5262–5267.
3.
Xiao, Ming, et al.. (2025). Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks. IEEE Wireless Communications Letters. 14(4). 979–983. 13 indexed citations
4.
Zhang, Deyou, et al.. (2024). Fluid Antenna Array Enhanced Over-the-Air Computation. IEEE Wireless Communications Letters. 13(6). 1541–1545. 22 indexed citations
6.
Wassell, Ian, et al.. (2024). Large Language Model-Based Wireless Network Design. IEEE Wireless Communications Letters. 13(12). 3340–3344. 12 indexed citations
7.
Wang, Kezhi, et al.. (2023). Average Error Probability for UAV-RIS Enabled Short Packet Communications. IEEE Transactions on Vehicular Technology. 73(2). 2912–2917. 8 indexed citations
8.
Wang, Kezhi, Jian-Yu Li, Meng Xu, Zonghai Chen, & Jikai Wang. (2022). LiDAR-Only Ground Vehicle Navigation System in Park Environment. World Electric Vehicle Journal. 13(11). 201–201. 5 indexed citations
9.
Bi, Huibo, Wen‐Long Shang, Yanyan Chen, & Kezhi Wang. (2022). Joint Optimization for Pedestrian, Information and Energy Flows in Emergency Response Systems With Energy Harvesting and Energy Sharing. IEEE Transactions on Intelligent Transportation Systems. 23(11). 22421–22435. 24 indexed citations
10.
Wang, Kezhi, et al.. (2022). Secrecy Performance Analysis of RIS-Aided Communication System With Randomly Flying Eavesdroppers. IEEE Wireless Communications Letters. 11(10). 2240–2244. 30 indexed citations
11.
Zhi, Kangda, Cunhua Pan, Hong Ren, & Kezhi Wang. (2022). Power Scaling Law Analysis and Phase Shift Optimization of RIS-Aided Massive MIMO Systems With Statistical CSI. IEEE Transactions on Communications. 70(5). 3558–3574. 182 indexed citations breakdown →
12.
Bi, Huibo, Wen‐Long Shang, Yanyan Chen, et al.. (2021). GIS aided sustainable urban road management with a unifying queueing and neural network model. Applied Energy. 291. 116818–116818. 65 indexed citations
13.
Dai, Jianxin, Yuanyuan Wang, Cunhua Pan, et al.. (2021). Reconfigurable Intelligent Surface Aided Massive MIMO Systems With Low-Resolution DACs. IEEE Communications Letters. 25(9). 3124–3128. 24 indexed citations
14.
Zhi, Kangda, Cunhua Pan, Hong Ren, & Kezhi Wang. (2020). Uplink Achievable Rate of Intelligent Reflecting Surface-Aided Millimeter-Wave Communications With Low-Resolution ADC and Phase Noise. IEEE Wireless Communications Letters. 10(3). 654–658. 62 indexed citations
15.
Ma, Shuai, et al.. (2020). Efficient Multitask Scheduling for Completion Time Minimization in UAV-Assisted Mobile Edge Computing. Mobile Information Systems. 2020. 1–11. 18 indexed citations
16.
Zhou, Yi, Cunhua Pan, Phee Lep Yeoh, et al.. (2019). Secure Communications for UAV-Enabled Mobile Edge Computing Systems. IEEE Transactions on Communications. 68(1). 376–388. 229 indexed citations
17.
Yang, Zhaohui, Cunhua Pan, Kezhi Wang, & Mohammad Shikh‐Bahaei. (2019). Energy Efficient Resource Allocation in UAV-Enabled Mobile Edge Computing Networks. IEEE Transactions on Wireless Communications. 18(9). 4576–4589. 348 indexed citations breakdown →
18.
Huang, Pei-Qiu, Yong Wang, Kezhi Wang, & Zhizhong Liu. (2019). A Bilevel Optimization Approach for Joint Offloading Decision and Resource Allocation in Cooperative Mobile Edge Computing. IEEE Transactions on Cybernetics. 50(10). 4228–4241. 97 indexed citations
19.
Xu, Wei, et al.. (2018). MIMO Channel Information Feedback Using Deep Recurrent Network. IEEE Communications Letters. 23(1). 188–191. 105 indexed citations
20.
Wang, Xinhou, Kezhi Wang, Song Wu, et al.. (2018). Dynamic Resource Scheduling in Mobile Edge Cloud with Cloud Radio Access Network. IEEE Transactions on Parallel and Distributed Systems. 29(11). 2429–2445. 85 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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