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 Auxiliary Task Selection for Multitasking-Assisted Constrained Multi-Objective Optimization [Feature]
Fei Ming, Wenyin Gong, Liang Gao
IEEE Computational Intelligence Magazine (2023) Vol. 18, Iss. 2, pp. 18-30
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

A Q-learning memetic algorithm for energy-efficient heterogeneous distributed assembly permutation flowshop scheduling considering priorities
Cong Luo, Wenyin Gong, Fei Ming, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101497-101497
Closed Access | Times Cited: 19

Multi‐objective multi‐period optimal site and size of distributed generation along with network reconfiguration
Ghulam Abbas, Zhi Wu, Aamir Ali
IET Renewable Power Generation (2024) Vol. 18, Iss. 16, pp. 3704-3730
Open Access | Times Cited: 14

Constrained multi-objective optimization problems: Methodologies, algorithms and applications
Yuanyuan Hao, Chunliang Zhao, Yiqin Zhang, et al.
Knowledge-Based Systems (2024) Vol. 299, pp. 111998-111998
Open Access | Times Cited: 7

Evolutionary computation and reinforcement learning integrated algorithm for distributed heterogeneous flowshop scheduling
Rui Li, Ling Wang, Wenyin Gong, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108775-108775
Closed Access | Times Cited: 7

A double auxiliary optimization constrained multi-objective evolutionary algorithm
Y. C. Yang, Bing Yan, Xiangsong Kong, et al.
Mathematics and Computers in Simulation (2024) Vol. 220, pp. 567-579
Closed Access | Times Cited: 6

Differential evolution based on strategy adaptation and deep reinforcement learning for multimodal optimization problems
Zuowen Liao, Qishuo Pang, Qiong Gu
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101568-101568
Closed Access | Times Cited: 6

Safety-efficiency integrated assembly: The next-stage adaptive task allocation and planning framework for human–robot collaboration
Ruihan Zhao, Sichen Tao, Pengzhong Li
Robotics and Computer-Integrated Manufacturing (2025) Vol. 94, pp. 102942-102942
Closed Access

Two-Stage Archive Evolutionary Algorithm for Constrained Multi-Objective Optimization
Kai Zhang, Siyuan Zhao, Hui Zeng, et al.
Mathematics (2025) Vol. 13, Iss. 3, pp. 470-470
Open Access

A novel multi-objective optimization of high-power laser directed energy deposition green processes: A case study of titanium alloy
Keqiang Chen, Xingyu Jiang, Weijun Liu, et al.
Journal of Cleaner Production (2025), pp. 144877-144877
Closed Access

A Constrained Multi-Objective Optimization Algorithm with a Population State Discrimination Model
Shaoyu Zhao, Heming Jia, Yongchao Li, et al.
Mathematics (2025) Vol. 13, Iss. 5, pp. 688-688
Open Access

A knowledge driven two-stage co-evolutionary algorithm for constrained multi-objective optimization
Wei Zhang, Jianchang Liu, Lin Li, et al.
Expert Systems with Applications (2025), pp. 126908-126908
Closed Access

Balancing exploration and exploitation in genetic algorithm optimization: a novel selection operator
Şahin Burak Dalkılıç, Atilla Özgür, Hamit Erdem
Evolutionary Intelligence (2025) Vol. 18, Iss. 2
Closed Access

A reinforcement learning assisted evolutionary algorithm for constrained multi-task optimization
Yufei Yang, Changsheng Zhang, Bin Zhang, et al.
Information Sciences (2024) Vol. 678, pp. 120863-120863
Closed Access | Times Cited: 3

A two-stage evolutionary algorithm assisted by multi-archives for constrained multi-objective optimization
Wenjuan Zhang, Jianchang Liu, Wei Zhang, et al.
Applied Soft Computing (2024) Vol. 162, pp. 111840-111840
Closed Access | Times Cited: 3

A multi-population evolutionary algorithm based on knowledge transfer for constrained many-objective optimization
Wenlong Ge, Shanxin Zhang, Weida Song, et al.
Engineering Optimization (2024), pp. 1-31
Closed Access | Times Cited: 2

EvolutionViT: Multi-objective evolutionary vision transformer pruning under resource constraints
Lei Liu, Gary G. Yen, Zhenan He
Information Sciences (2024) Vol. 689, pp. 121406-121406
Closed Access | Times Cited: 2

Deep reinforcement learning assisted novelty search in Voronoi regions for constrained multi-objective optimization
Yufei Yang, Changsheng Zhang, Yi Liu, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101732-101732
Closed Access | Times Cited: 2

Constrained multi-objective optimization evolutionary algorithm for real-world continuous mechanical design problems
Fei Ming, Wenyin Gong, Huixiang Zhen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 135, pp. 108673-108673
Closed Access | Times Cited: 2

A Multi-Task Decomposition-Based Evolutionary Algorithm for Tackling High-Dimensional Bi-Objective Feature Selection
Hang Xu, Chaohui Huang, Jianbing Lin, et al.
Mathematics (2024) Vol. 12, Iss. 8, pp. 1178-1178
Open Access | Times Cited: 1

A comparative study of evolutionary algorithms and particle swarm optimization approaches for constrained multi-objective optimization problems
Alanna McNulty, Beatrice M. Ombuki-Berman, Andries P. Engelbrecht
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101742-101742
Open Access | Times Cited: 1

An adaptive co-evolutionary competitive particle swarm optimizer for constrained multi-objective optimization problems
Xiaoding Meng, Hecheng Li
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101746-101746
Closed Access | Times Cited: 1

A strengthened constrained-dominance based evolutionary algorithm for constrained many-objective optimization
Wei Zhang, Jianchang Liu, Junhua Liu, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112428-112428
Closed Access | Times Cited: 1

Harnessing collaborative learning automata to guide multi-objective optimization based inverse analysis for structural damage identification
Yang Zhang, Kai Zhou, Jiong Tang
Applied Soft Computing (2024) Vol. 160, pp. 111697-111697
Closed Access | Times Cited: 1

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