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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:

A multi-objective immune algorithm with dynamic population strategy
Qiuzhen Lin, Qingling Zhu, Na Wang, et al.
Swarm and Evolutionary Computation (2018) Vol. 50, pp. 100477-100477
Closed Access | Times Cited: 24

Showing 24 citing articles:

Balanced multi-objective optimization algorithm using improvement based reference points approach
Mohamed Abdel‐Basset, Reda Mohamed, Mohamed Abouhawwash
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100791-100791
Closed Access | Times Cited: 49
DLEA: A dynamic learning evolution algorithm for many-objective optimization
Li Gui, Gai‐Ge Wang, Junyu Dong, et al.
Information Sciences (2021) Vol. 574, pp. 567-589
Closed Access | Times Cited: 40
A survey of artificial immune algorithms for multi-objective optimization
Lingjie Li, Qiuzhen Lin, Zhong Ming
Neurocomputing (2022) Vol. 489, pp. 211-229
Closed Access | Times Cited: 31
Evolutionary Algorithm with Dynamic Population Size for Constrained Multiobjective Optimization
Bing-Chuan Wang, Zhong-Yi Shui, Yun Feng, et al.
Swarm and Evolutionary Computation (2022) Vol. 73, pp. 101104-101104
Closed Access | Times Cited: 29
A hybrid evolutionary immune algorithm for fuzzy flexible job shop scheduling problem with variable processing speeds
Xiaolong Chen, Junqing Li, Yu Du
Expert Systems with Applications (2023) Vol. 233, pp. 120891-120891
Closed Access | Times Cited: 18
MOAISDX: A New Multi-objective Artificial Immune System Based on Decomposition
E. Arroyo, Carlos A. Coello Coello
Lecture notes in computer science (2025), pp. 46-59
Closed Access
An Efficient Marine Predators Algorithm for Solving Multi-Objective Optimization Problems: Analysis and Validations
Mohamed Abdel‐Basset, Reda Mohamed, Seyedali Mirjalili, et al.
IEEE Access (2021) Vol. 9, pp. 42817-42844
Open Access | Times Cited: 39
Knowledge-guided classification and regression surrogates co-assisted multi-objective soft subspace clustering algorithm
Feng Zhao, Lu Li, Hanqiang Liu
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Multiobjective multifactorial immune algorithm for multiobjective multitask optimization problems
Zhiwei Xu, Kai Zhang
Applied Soft Computing (2021) Vol. 107, pp. 107399-107399
Closed Access | Times Cited: 28
Vertical distance-based clonal selection mechanism for the multiobjective immune algorithm
Lingjie Li, Qiuzhen Lin, Ke Li, et al.
Swarm and Evolutionary Computation (2021) Vol. 63, pp. 100886-100886
Closed Access | Times Cited: 23
Rank-based multimodal immune algorithm for many-objective optimization problems
Hainan Zhang, Jianhou Gan, Juxiang Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108153-108153
Closed Access | Times Cited: 3
Multi-objective particle swarm optimization with dynamic population size
Xiaoli Shu, Yanmin Liu, Jun Liu, et al.
Journal of Computational Design and Engineering (2022) Vol. 10, Iss. 1, pp. 446-467
Open Access | Times Cited: 14
Automatic deep spare clustering with a dynamic population-based evolutionary algorithm using reinforcement learning and transfer learning
Parham Hadikhani, Daphne Teck Ching Lai, Wee-Hong Ong, et al.
Image and Vision Computing (2024) Vol. 151, pp. 105258-105258
Closed Access | Times Cited: 2
Dynamic multi-objective evolutionary algorithm for IoT services
Shun-shun Fang, Zhengyi Chai, Ya-lun Li
Applied Intelligence (2020) Vol. 51, Iss. 3, pp. 1177-1200
Closed Access | Times Cited: 17
Many‐objective optimization by using an immune algorithm
Yuchao Su, Naili Luo, Qiuzhen Lin, et al.
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 101026-101026
Closed Access | Times Cited: 14
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
A dynamic tri-population multi-objective evolutionary algorithm for constrained multi-objective optimization problems
Y. C. Yang, Bing Yan, Xiangsong Kong
Evolutionary Intelligence (2024) Vol. 17, Iss. 4, pp. 2791-2806
Closed Access | Times Cited: 1
Development of a multi-objective artificial tree (MOAT) algorithm and its application in acoustic metamaterials
Qiqi Li, Zhichen He, Eric Li, et al.
Memetic Computing (2020) Vol. 12, Iss. 2, pp. 165-184
Closed Access | Times Cited: 10
Foreword: Some advances in Immune Computation and applications
Wenjian Luo, Mario Pavone, Carlos A. Coello Coello, et al.
Swarm and Evolutionary Computation (2019) Vol. 50, pp. 100596-100596
Closed Access | Times Cited: 5
Picking Trajectory Planning of Citrus Based on Improved Immune Algorithm and Binocular Vision
Zuoliang Tang, Lijia Xu, Xie Hong
2022 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA) (2020), pp. 6-10
Closed Access | Times Cited: 4
Faster Convergence in Multiobjective Optimization Algorithms Based on Decomposition
Yuri Lavinas, Marcelo Ladeira, Claus Aranha
Evolutionary Computation (2022) Vol. 30, Iss. 3, pp. 355-380
Open Access | Times Cited: 3
A novel multi-objective immunization algorithm based on dynamic variation distance
Geying Yang, Junjiang He, Lina Wang, et al.
Swarm and Evolutionary Computation (2023) Vol. 83, pp. 101391-101391
Closed Access | Times Cited: 1
Multi-objective auto-scaling scheduling for micro-service workflows in hybrid clouds
Shijia Wang, Xuan Liu, Ming Gao, et al.
Enterprise Information Systems (2022) Vol. 17, Iss. 7
Closed Access | Times Cited: 1
ЕВОЛЮЦІЙНИЙ МЕТОД ПОШУКОВОЇ ОПТИМІЗАЦІЇ НА ОСНОВІ РОЮ ЧАСТОК ТА МОДЕЛЮВАННЯ ШТУЧНИХ ІМУННИХ СИСТЕМ
Ілля ЗІБОРОВ, Тімур ЖЕЛДАК
Information Technology Computer Science Software Engineering and Cyber Security (2023), Iss. 4, pp. 3-12
Open Access
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