Meiji Cui

445 total citations
16 papers, 250 citations indexed

About

Meiji Cui is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Meiji Cui has authored 16 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 4 papers in Industrial and Manufacturing Engineering. Recurrent topics in Meiji Cui's work include Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Evolutionary Algorithms and Applications (5 papers). Meiji Cui is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (9 papers), Metaheuristic Optimization Algorithms Research (9 papers) and Evolutionary Algorithms and Applications (5 papers). Meiji Cui collaborates with scholars based in China, United States and Saudi Arabia. Meiji Cui's co-authors include Li Li, MengChu Zhou, Abdullah Abusorrah, Miaojing Shi, Shuwei Zhu, Ziyan Zhao, Khaled Sedraoui, Jiankai Li, Wenping Wang and Wei Fang and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Computers & Operations Research and Swarm and Evolutionary Computation.

In The Last Decade

Meiji Cui

14 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Meiji Cui China 6 110 85 49 30 27 16 250
Nibedan Panda India 9 164 1.5× 41 0.5× 33 0.7× 31 1.0× 20 0.7× 28 233
Arvind Mohais Australia 8 190 1.7× 122 1.4× 51 1.0× 11 0.4× 22 0.8× 13 257
G. Jeyakumar India 9 118 1.1× 70 0.8× 18 0.4× 38 1.3× 11 0.4× 71 246
Ko-Wei Huang Taiwan 9 122 1.1× 31 0.4× 25 0.5× 41 1.4× 22 0.8× 29 269
Giorgos Karafotias Netherlands 6 317 2.9× 193 2.3× 37 0.8× 14 0.5× 28 1.0× 10 400
Jacek M. Czerniak Poland 7 75 0.7× 34 0.4× 20 0.4× 13 0.4× 19 0.7× 19 175
Jean‐Baptiste Gotteland France 5 47 0.4× 31 0.4× 42 0.9× 12 0.4× 20 0.7× 8 192
Jilles Dibangoye France 9 124 1.1× 28 0.3× 20 0.4× 35 1.2× 50 1.9× 21 246
Syrine Belakaria United States 11 82 0.7× 93 1.1× 11 0.2× 43 1.4× 23 0.9× 21 301
Edilson Reis Rodrigues Kato Brazil 9 59 0.5× 40 0.5× 181 3.7× 42 1.4× 22 0.8× 43 295

Countries citing papers authored by Meiji Cui

Since Specialization
Citations

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

Fields of papers citing papers by Meiji Cui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meiji Cui

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

All Works

16 of 16 papers shown
1.
Cui, Meiji, et al.. (2025). SCDF-YOLOv11:Selection and compensation detailed feature integration network for UAV detection. Chinese Journal of Aeronautics. 103998–103998. 1 indexed citations
2.
Zhu, Shuwei, et al.. (2025). Regression and relation-assisted evolutionary algorithm for high-dimensional expensive multi-objective optimization. Swarm and Evolutionary Computation. 97. 101978–101978. 1 indexed citations
3.
Zhu, Shuwei, Wenping Wang, Wei Fang, & Meiji Cui. (2025). Critical vector based evolutionary algorithm for large-scale multi-objective optimization. Cluster Computing. 28(3). 3 indexed citations
4.
Yu, Shaohua, et al.. (2025). Evolutionary game decision-making method for high dynamic UAV swarm attack-defense considering uncertain factor influences. Complex & Intelligent Systems. 11(8). 1 indexed citations
5.
Huang, Bo, et al.. (2024). Scheduling AMSs with generalized Petri nets and highly informed heuristic search. Computers & Operations Research. 175. 106912–106912. 1 indexed citations
6.
7.
Zhou, MengChu, et al.. (2024). Evolutionary Optimization Methods for High-Dimensional Expensive Problems: A Survey. IEEE/CAA Journal of Automatica Sinica. 11(5). 1092–1105. 39 indexed citations
8.
Zhu, Shuwei, Lingzao Zeng, & Meiji Cui. (2024). Symmetrical Generalized Pareto Dominance and Adjusted Reference Vector Cooperative Evolutionary Algorithm for Many-Objective Optimization. Symmetry. 16(11). 1484–1484. 1 indexed citations
9.
Zhu, Shuwei, Wenping Wang, Wei Fang, & Meiji Cui. (2023). Autoencoder-assisted latent representation learning for survival prediction and multi-view clustering on multi-omics cancer subtyping. Mathematical Biosciences & Engineering. 20(12). 21098–21119. 1 indexed citations
10.
Cui, Meiji, Li Li, MengChu Zhou, et al.. (2022). A Bi-population Cooperative Optimization Algorithm Assisted by an Autoencoder for Medium-scale Expensive Problems. IEEE/CAA Journal of Automatica Sinica. 9(11). 1952–1966. 42 indexed citations
11.
12.
Cui, Meiji, Li Li, MengChu Zhou, & Abdullah Abusorrah. (2021). Surrogate-Assisted Autoencoder-Embedded Evolutionary Optimization Algorithm to Solve High-Dimensional Expensive Problems. IEEE Transactions on Evolutionary Computation. 26(4). 676–689. 93 indexed citations
13.
Cui, Meiji, Li Li, & MengChu Zhou. (2020). An Autoencoder-embedded Evolutionary Optimization Framework for High-dimensional Problems. 1046–1051. 7 indexed citations
14.
Cui, Meiji, Li Li, & Miaojing Shi. (2019). A Selective Biogeography-Based Optimizer Considering Resource Allocation for Large-Scale Global Optimization. Computational Intelligence and Neuroscience. 2019. 1–17. 52 indexed citations
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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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