Pei-Qiu Huang

1.2k total citations · 1 hit paper
26 papers, 938 citations indexed

About

Pei-Qiu Huang is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Pei-Qiu Huang has authored 26 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 12 papers in Artificial Intelligence and 9 papers in Computer Networks and Communications. Recurrent topics in Pei-Qiu Huang's work include Advanced Multi-Objective Optimization Algorithms (13 papers), Metaheuristic Optimization Algorithms Research (11 papers) and UAV Applications and Optimization (6 papers). Pei-Qiu Huang is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (13 papers), Metaheuristic Optimization Algorithms Research (11 papers) and UAV Applications and Optimization (6 papers). Pei-Qiu Huang collaborates with scholars based in China, United Kingdom and Hong Kong. Pei-Qiu Huang's co-authors include Yong Wang, Kezhi Wang, Zhizhong Liu, Kun Yang, Muhammad Asim, Bing-Chuan Wang, Yu Zhou, Qingfu Zhang, Guopeng Zhang and Lei Zhang and has published in prestigious journals such as Information Sciences, IEEE Transactions on Vehicular Technology and IEEE Transactions on Cybernetics.

In The Last Decade

Pei-Qiu Huang

26 papers receiving 929 citations

Hit Papers

Joint Deployment and Task Scheduling Optimization for Lar... 2019 2026 2021 2023 2019 50 100 150 200
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. Joint Deployment and Task Scheduling Optimization for Large-Scale Mobile Users in Multi-UAV-Enabled Mobile Edge Computing
    2019 241 citations Yong Wang, Kezhi Wang et al. IEEE Transactions on Cybernetics profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pei-Qiu Huang China 13 461 418 225 220 218 26 938
Husheng Wu China 16 223 0.5× 208 0.5× 226 1.0× 219 1.0× 76 0.3× 71 730
Håkan L. S. Younes United States 11 305 0.7× 177 0.4× 246 1.1× 393 1.8× 52 0.2× 16 926
Farouk Kamoun Tunisia 18 1.2k 2.6× 178 0.4× 123 0.5× 161 0.7× 524 2.4× 93 1.5k
Jie Tian China 18 597 1.3× 289 0.7× 119 0.5× 138 0.6× 404 1.9× 75 1.2k
Christian Buckl Germany 16 317 0.7× 68 0.2× 98 0.4× 184 0.8× 203 0.9× 69 821
Junqi Zhang China 14 185 0.4× 55 0.1× 166 0.7× 319 1.4× 98 0.4× 64 771
Mohammad Patwary United Kingdom 17 443 1.0× 262 0.6× 77 0.3× 159 0.7× 827 3.8× 89 1.2k
Linbo Zhai China 19 687 1.5× 231 0.6× 158 0.7× 100 0.5× 264 1.2× 79 996

Countries citing papers authored by Pei-Qiu Huang

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Qiu Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Qiu Huang. 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 Pei-Qiu Huang. The network helps show where Pei-Qiu Huang may publish in the future.

Co-authorship network of co-authors of Pei-Qiu Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Qiu Huang. A scholar is included among the top collaborators of Pei-Qiu Huang 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 Pei-Qiu Huang. Pei-Qiu Huang 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, Yalin, et al.. (2024). Exploring interpretable evolutionary optimization via significance of each constraint and population diversity. Swarm and Evolutionary Computation. 91. 101679–101679. 7 indexed citations
2.
Chen, Yingguo, et al.. (2024). A Bilevel Evolutionary Algorithm for Large-Scale Multiobjective Task Scheduling in Multiagile Earth Observation Satellite Systems. IEEE Transactions on Systems Man and Cybernetics Systems. 54(6). 3512–3524. 18 indexed citations
3.
Wang, Yong, Yu Zhou, & Pei-Qiu Huang. (2024). A Novel Incentive Mechanism for Federated Learning Over Wireless Communications. IEEE Transactions on Artificial Intelligence. 5(11). 5561–5574. 5 indexed citations
4.
Huang, Pei-Qiu, et al.. (2024). A Multiobjective Evolutionary Algorithm for Network Planning in In-Building Distributed Antenna Systems. IEEE Transactions on Network Science and Engineering. 11(3). 3002–3014. 7 indexed citations
5.
6.
Wang, Bing-Chuan, et al.. (2023). A two-stage adaptive penalty method based on co-evolution for constrained evolutionary optimization. Complex & Intelligent Systems. 9(4). 4615–4627. 9 indexed citations
7.
Huang, Pei-Qiu, et al.. (2023). A hypervolume-based evolutionary algorithm for rescue robot assignment problem of nuclear accident. Applied Intelligence. 53(22). 27912–27933. 1 indexed citations
8.
Huang, Pei-Qiu, Qingfu Zhang, & Yong Wang. (2023). Bilevel Optimization via Collaborations Among Lower-Level Optimization Tasks. IEEE Transactions on Evolutionary Computation. 27(6). 1837–1850. 8 indexed citations
9.
Huang, Pei-Qiu, Yong Wang, Kezhi Wang, & Qingfu Zhang. (2022). Combining Lyapunov Optimization With Evolutionary Transfer Optimization for Long-Term Energy Minimization in IRS-Aided Communications. IEEE Transactions on Cybernetics. 53(4). 2647–2657. 11 indexed citations
10.
Huang, Pei-Qiu, Yong Wang, & Kezhi Wang. (2021). A Divide-and-Conquer Bilevel Optimization Algorithm for Jointly Pricing Computing Resources and Energy in Wireless Powered MEC. IEEE Transactions on Cybernetics. 52(11). 12099–12111. 15 indexed citations
11.
Asim, Muhammad, Yong Wang, Kezhi Wang, & Pei-Qiu Huang. (2020). A Review on Computational Intelligence Techniques in Cloud and Edge Computing. IEEE Transactions on Emerging Topics in Computational Intelligence. 4(6). 742–763. 86 indexed citations
12.
Huang, Pei-Qiu, Yong Wang, & Kezhi Wang. (2020). Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system. Frontiers of Information Technology & Electronic Engineering. 21(12). 1713–1725. 34 indexed citations
13.
Huang, Pei-Qiu & Yong Wang. (2020). A Framework for Scalable Bilevel Optimization: Identifying and Utilizing the Interactions Between Upper-Level and Lower-Level Variables. IEEE Transactions on Evolutionary Computation. 24(6). 1150–1163. 28 indexed citations
14.
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
15.
Wang, Liang, Pei-Qiu Huang, Kezhi Wang, et al.. (2019). RL-Based User Association and Resource Allocation for Multi-UAV enabled MEC. ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam). 741–746. 46 indexed citations
16.
Wang, Kezhi, Pei-Qiu Huang, Kun Yang, Cunhua Pan, & Jiangzhou Wang. (2019). Unified Offloading Decision Making and Resource Allocation in ME-RAN. IEEE Transactions on Vehicular Technology. 68(8). 8159–8172. 31 indexed citations
17.
Li, Fei, Jianchang Liu, Pei-Qiu Huang, & Huaitao Shi. (2018). An R2 Indicator and Decomposition Based Steady-State Evolutionary Algorithm for Many-Objective Optimization. Mathematical Problems in Engineering. 2018. 1–18. 6 indexed citations
18.
Liu, Jianchang, Fei Li, Xiangyong Kong, & Pei-Qiu Huang. (2018). Handling many-objective optimisation problems with R2 indicator and decomposition-based particle swarm optimiser. International Journal of Systems Science. 50(2). 320–336. 12 indexed citations
19.
Liu, Zhizhong, Yong Wang, & Pei-Qiu Huang. (2018). AnD: A many-objective evolutionary algorithm with angle-based selection and shift-based density estimation. Information Sciences. 509. 400–419. 121 indexed citations
20.

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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