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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Adaptive operator selection with test-and-apply structure for decomposition-based multi-objective optimization
Lisha Dong, Qiuzhen Lin, Yu Zhou, et al.
Swarm and Evolutionary Computation (2021) Vol. 68, pp. 101013-101013
Closed Access | Times Cited: 12

Showing 12 citing articles:

Constrained Multi-Objective Optimization With Deep Reinforcement Learning Assisted Operator Selection
Fei Ming, Wenyin Gong, Ling Wang, et al.
IEEE/CAA Journal of Automatica Sinica (2024) Vol. 11, Iss. 4, pp. 919-931
Open Access | Times Cited: 15
Leadership succession inspired adaptive operator selection mechanism for multi-objective optimization
Hongyang Zhang, Shuting Wang, Yuanlong Xie, et al.
Mathematics and Computers in Simulation (2025)
Closed Access
A two-stage evolutionary algorithm for large-scale sparse multiobjective optimization problems
Jing Jiang, Fei Han, Jie Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 72, pp. 101093-101093
Closed Access | Times Cited: 21
Efficiency of Specialized Genetic Operators in Non-dominated Tournament Genetic Algorithm (NTGA2) Applied to Multi-objective Multi-skill Resource Constrained Project Scheduling Problem
Michał Antkiewicz, Paweł B. Myszkowski, Konrad Gmyrek, et al.
Communications in computer and information science (2024), pp. 97-110
Closed Access | Times Cited: 1
A localized decomposition evolutionary algorithm for imbalanced multi-objective optimization
Yulong Ye, Qiuzhen Lin, Ka‐Chun Wong, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107564-107564
Open Access | Times Cited: 3
A many-objective optimization algorithm using a two-space interactive evolutionary framework
Tianyu Liu, Wang Zhu, Meiqin Wei
Swarm and Evolutionary Computation (2022) Vol. 75, pp. 101185-101185
Closed Access | Times Cited: 4
Experimental Evaluation of Adaptive Operators Selection Methods for the Dynamic Multiobjective Evolutionary Algorithm Based on Decomposition (DMOEA/D)
José Alfredo Brambila-Hernández, Miguel Ángel García-Morales, Héctor J. Fraire-Huacuja, et al.
Studies in computational intelligence (2023), pp. 307-330
Closed Access | Times Cited: 2
Decomposition-based multiobjective evolutionary algorithm with density estimation-based dynamical neighborhood strategy
Yuanhui Qin, Jian Ren, Dan Yang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 24, pp. 29863-29901
Closed Access | Times Cited: 2
Continuous Variation Operator Configuration for Decomposition-Based Evolutionary Multi-Objective Optimization
Yuan Liu, Jiazheng Li, Juan Zou, et al.
(2024)
Closed Access
Continuous variation operator configuration for decomposition-based evolutionary multi-objective optimization
Yuan Liu, J. Li, Juan Zou, et al.
Swarm and Evolutionary Computation (2024) Vol. 89, pp. 101644-101644
Closed Access
Many-objective evolutionary algorithm with multi-strategy selection mechanism and adaptive reproduction operation
Wei Li, Jingqi Tang, Lei Wang
The Journal of Supercomputing (2024) Vol. 80, Iss. 16, pp. 24435-24482
Closed Access
Local Adaptive Operator Selection in Adaptive Non-Dominated Tournament Genetic Algorithm (A-Ntga) in Solving Multi-Objective Np-Hard Problems with Constraints
Michał Antkiewicz, Paweł B. Myszkowski
(2024)
Closed Access
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