Qihui Wu

12.0k total citations · 4 hit papers
357 papers, 8.7k citations indexed

About

Qihui Wu is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Aerospace Engineering. According to data from OpenAlex, Qihui Wu has authored 357 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 213 papers in Computer Networks and Communications, 202 papers in Electrical and Electronic Engineering and 123 papers in Aerospace Engineering. Recurrent topics in Qihui Wu's work include Cognitive Radio Networks and Spectrum Sensing (104 papers), Advanced MIMO Systems Optimization (98 papers) and UAV Applications and Optimization (79 papers). Qihui Wu is often cited by papers focused on Cognitive Radio Networks and Spectrum Sensing (104 papers), Advanced MIMO Systems Optimization (98 papers) and UAV Applications and Optimization (79 papers). Qihui Wu collaborates with scholars based in China, United States and Canada. Qihui Wu's co-authors include Guoru Ding, Yuhua Xu, Jinlong Wang, Alagan Anpalagan, Yudong Yao, Junfei Qiu, Fuhui Zhou, Zhiyong Du, Liang Shen and Shuo Feng and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Food Chemistry.

In The Last Decade

Qihui Wu

325 papers receiving 8.6k citations

Hit Papers

A survey of machine learning for big data processing 2014 2026 2018 2022 2016 2014 2018 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qihui Wu China 45 4.9k 4.3k 3.2k 1.2k 774 357 8.7k
Guoru Ding China 35 3.0k 0.6× 3.0k 0.7× 2.3k 0.7× 1.1k 1.0× 598 0.8× 211 6.2k
Yunfei Chen United Kingdom 56 6.1k 1.2× 9.7k 2.3× 6.2k 1.9× 1.4k 1.2× 872 1.1× 517 14.1k
Hongbo Jiang China 49 3.6k 0.7× 3.0k 0.7× 892 0.3× 1.5k 1.3× 1.3k 1.6× 341 7.9k
Shibo He China 44 3.5k 0.7× 3.4k 0.8× 718 0.2× 1.1k 0.9× 473 0.6× 259 7.0k
Kin K. Leung United Kingdom 44 7.0k 1.4× 6.2k 1.5× 898 0.3× 2.7k 2.3× 843 1.1× 307 11.4k
Dapeng Wu United States 60 8.0k 1.6× 6.5k 1.5× 1.9k 0.6× 2.2k 1.8× 2.9k 3.7× 524 14.6k
Abbas Jamalipour Australia 52 7.9k 1.6× 6.7k 1.6× 3.2k 1.0× 948 0.8× 879 1.1× 587 12.4k
K. J. Ray Liu United States 68 9.4k 1.9× 10.4k 2.5× 1.3k 0.4× 1.5k 1.3× 2.3k 3.0× 500 17.0k
Yuhua Xu China 35 3.7k 0.8× 2.7k 0.6× 1.6k 0.5× 698 0.6× 395 0.5× 186 5.4k
Mingyi Hong United States 44 2.6k 0.5× 4.0k 0.9× 1.3k 0.4× 1.8k 1.6× 658 0.9× 195 8.0k

Countries citing papers authored by Qihui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Qihui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qihui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Qihui Wu. A scholar is included among the top collaborators of Qihui 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 Qihui Wu. Qihui Wu 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, Kefeng, et al.. (2025). Covert Transaction for Cognitive Integrated Satellite Aerial Ground Networks With NOMA and Imperfect Limitations. IEEE Transactions on Consumer Electronics. 71(4). 11746–11760.
2.
Zhu, Qiuming, Jie Wang, Ziye Jia, et al.. (2025). UAV-Aided Efficient Informative Path Planning for Autonomous 3D Spectrum Mapping. IEEE Transactions on Cognitive Communications and Networking. 12. 1664–1677. 1 indexed citations
3.
Dong, Chao, et al.. (2025). Learning-Based Predictive Beamforming for Secure ISAC via IRS. IEEE Transactions on Communications. 73(12). 14304–14315.
4.
Jia, Ziye, Lijun He, Min Sheng, et al.. (2025). Dynamic Trajectory Optimization and Power Control for Hierarchical UAV Swarms in 6G Aerial Access Network. IEEE Transactions on Wireless Communications. 25. 3349–3362. 2 indexed citations
5.
Qu, Yuben, et al.. (2024). Efficient Pipeline Collaborative DNN Inference in Resource-Constrained UAV Swarm. 1–6. 3 indexed citations
6.
Zhou, Fuhui, et al.. (2024). A Unified Hierarchical Semantic Knowledge Base for Multi-Task Semantic Communication. 2937–2943. 5 indexed citations
7.
Jian, Fang‐Fang, Zhongyuan Zhang, Qihui Wu, et al.. (2023). Evaluation of the digestibility and antioxidant activity of protein and lipid after mixing nuts based on in vitro and in vivo models. Food Chemistry. 414. 135706–135706. 10 indexed citations
8.
9.
Liu, Boyang, et al.. (2022). Resource Allocation and Trajectory Design for MISO UAV-Assisted MEC Networks. IEEE Transactions on Vehicular Technology. 71(5). 4933–4948. 120 indexed citations breakdown →
10.
Wu, Qihui, Jiaxin Chen, Yuhua Xu, et al.. (2022). Joint Computation Offloading, Role, and Location Selection in Hierarchical Multicoalition UAV MEC Networks: A Stackelberg Game Learning Approach. IEEE Internet of Things Journal. 9(19). 18293–18304. 39 indexed citations
11.
Zhang, Hao, Fuhui Zhou, Qihui Wu, Wei Wu, & Rose Qingyang Hu. (2021). A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks. IEEE Transactions on Cognitive Communications and Networking. 8(1). 97–110. 52 indexed citations
12.
Chen, Jiaxin, Qihui Wu, Yuhua Xu, et al.. (2021). A Multi-Leader Multi-Follower Stackelberg Game for Coalition-Based UAV MEC Networks. IEEE Wireless Communications Letters. 10(11). 2350–2354. 37 indexed citations
13.
Qu, Yuben, Haipeng Dai, Haichao Wang, et al.. (2021). Service Provisioning for UAV-Enabled Mobile Edge Computing. IEEE Journal on Selected Areas in Communications. 39(11). 3287–3305. 89 indexed citations
14.
Liu, Dianxiong, Yuhua Xu, Yitao Xu, et al.. (2020). Opportunistic Data Collection in Cognitive Wireless Sensor Networks: Air–Ground Collaborative Online Planning. IEEE Internet of Things Journal. 7(9). 8837–8851. 37 indexed citations
15.
Liu, Dianxiong, Jinlong Wang, Kun Xu, et al.. (2019). Task-Driven Relay Assignment in Distributed UAV Communication Networks. IEEE Transactions on Vehicular Technology. 68(11). 11003–11017. 78 indexed citations
16.
Zhao, Jianwei, Feifei Gao, Qihui Wu, et al.. (2018). Beam Tracking for UAV Mounted SatCom on-the-Move With Massive Antenna Array. IEEE Journal on Selected Areas in Communications. 36(2). 363–375. 149 indexed citations
17.
Zhang, Yuli, Yuhua Xu, Youming Sun, Qihui Wu, & Kailing Yao. (2017). Energy Efficiency of Small Cell Networks: Metrics, Methods and Market. IEEE Access. 5. 5965–5971. 18 indexed citations
18.
Qiu, Junfei, Qihui Wu, Guoru Ding, Yuhua Xu, & Shuo Feng. (2016). A survey of machine learning for big data processing. EURASIP Journal on Advances in Signal Processing. 2016(1). 578 indexed citations breakdown →
19.
Wu, Qihui, et al.. (2013). Optimal Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Networks. SHILAP Revista de lepidopterología. 3 indexed citations
20.
Wu, Qihui, et al.. (2010). Sensing Task Allocation for Heterogeneous Channels in Cooperative Spectrum Sensing. SHILAP Revista de lepidopterología. 4 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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