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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:

Dynamic multi-swarm differential learning particle swarm optimizer
Yonggang Chen, Lixiang Li, Haipeng Peng, et al.
Swarm and Evolutionary Computation (2017) Vol. 39, pp. 209-221
Closed Access | Times Cited: 86

Showing 1-25 of 86 citing articles:

Particle Swarm Optimization Algorithm and Its Applications: A Systematic Review
Ahmed G. Gad
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 5, pp. 2531-2561
Open Access | Times Cited: 799
Multi-population differential evolution-assisted Harris hawks optimization: Framework and case studies
Hao Chen, Ali Asghar Heidari, Huiling Chen, et al.
Future Generation Computer Systems (2020) Vol. 111, pp. 175-198
Closed Access | Times Cited: 297
Global genetic learning particle swarm optimization with diversity enhancement by ring topology
Anping Lin, Wei Sun, Hongshan Yu, et al.
Swarm and Evolutionary Computation (2018) Vol. 44, pp. 571-583
Closed Access | Times Cited: 107
Advanced orthogonal learning-driven multi-swarm sine cosine optimization: Framework and case studies
Hao Chen, Ali Asghar Heidari, Xuehua Zhao, et al.
Expert Systems with Applications (2019) Vol. 144, pp. 113113-113113
Closed Access | Times Cited: 101
Two-Stage Multi-Swarm Particle Swarm Optimizer for Unconstrained and Constrained Global Optimization
Qiang Zhao, Changwei Li
IEEE Access (2020) Vol. 8, pp. 124905-124927
Open Access | Times Cited: 72
Particle swarm optimization with an enhanced learning strategy and crossover operator
Sajjad Molaei, Hadi Moazen, Samad Najjar-Ghabel, et al.
Knowledge-Based Systems (2021) Vol. 215, pp. 106768-106768
Closed Access | Times Cited: 57
Three-learning strategy particle swarm algorithm for global optimization problems
Xinming Zhang, Qiuying Lin
Information Sciences (2022) Vol. 593, pp. 289-313
Closed Access | Times Cited: 52
Hierarchical learning particle swarm optimization using fuzzy logic
Yong Wang, Zhihao Wang, Gai‐Ge Wang
Expert Systems with Applications (2023) Vol. 232, pp. 120759-120759
Closed Access | Times Cited: 24
Intelligent optic disc segmentation using improved particle swarm optimization and evolving ensemble models
Zhang Li, Chee Peng Lim
Applied Soft Computing (2020) Vol. 92, pp. 106328-106328
Open Access | Times Cited: 67
Remaining Useful Life Prediction of Battery Using a Novel Indicator and Framework With Fractional Grey Model and Unscented Particle Filter
Lin Chen, Jing Chen, Huimin Wang, et al.
IEEE Transactions on Power Electronics (2019) Vol. 35, Iss. 6, pp. 5850-5859
Closed Access | Times Cited: 54
Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization
Zhang Li, Chee Peng Lim, Yonghong Yu
Knowledge-Based Systems (2021) Vol. 220, pp. 106918-106918
Open Access | Times Cited: 49
Multi-swarm improved moth–flame optimization algorithm with chaotic grouping and Gaussian mutation for solving engineering optimization problems
Xiaodong Zhao, Yiming Fang, Shuidong Ma, et al.
Expert Systems with Applications (2022) Vol. 204, pp. 117562-117562
Closed Access | Times Cited: 30
A hybrid differential evolution particle swarm optimization algorithm based on dynamic strategies
Huarong Xu, Qianwei Deng, Zhiyu Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Novel MINLP model and Lamarckian learning-enhanced multi-objective optimization algorithm for smart household appliance scheduling
Weidong Lei, Z. Y. You, Jiawei Zhu, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101886-101886
Closed Access
A set of new compact firefly algorithms
Lyes Tighzert, Cyril Fonlupt, Boubekeur Mendil
Swarm and Evolutionary Computation (2017) Vol. 40, pp. 92-115
Closed Access | Times Cited: 51
Multivector particle swarm optimization algorithm
Hussam N. Fakhouri, Amjad Hudaib, Azzam Sleit
Soft Computing (2019) Vol. 24, Iss. 15, pp. 11695-11713
Closed Access | Times Cited: 45
Q-learning-based simulated annealing algorithm for constrained engineering design problems
Hussein Samma, Junita Mohamad–Saleh, Shahrel Azmin Suandi, et al.
Neural Computing and Applications (2019) Vol. 32, Iss. 9, pp. 5147-5161
Closed Access | Times Cited: 44
Enhanced multi-swarm cooperative particle swarm optimizer
Jiawei Lu, Jian Zhang, Jianan Sheng
Swarm and Evolutionary Computation (2021) Vol. 69, pp. 100989-100989
Closed Access | Times Cited: 39
IBMSMA: An Indicator-based Multi-swarm Slime Mould Algorithm for Multi-objective Truss Optimization Problems
Shihong Yin, Qifang Luo, Yongquan Zhou
Journal of Bionic Engineering (2022) Vol. 20, Iss. 3, pp. 1333-1360
Closed Access | Times Cited: 24
A self-competitive mutation strategy for Differential Evolution algorithms with applications to Proportional–Integral–Derivative controllers and Automatic Voltage Regulator systems
Mojtaba Ghasemi, Abolfazl Rahimnejad, Milad Gil, et al.
Decision Analytics Journal (2023) Vol. 7, pp. 100205-100205
Open Access | Times Cited: 14
Metaheuristic optimization algorithms for multi-area economic dispatch of power systems: part II—a comparative study
Yan Wang, Guojiang Xiong
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
A solution methodology for carpooling systems based on double auctions and cooperative coevolutionary particle swarms
Fu-Shiung Hsieh, Fu-Min Zhan, Yi-Hong Guo
Applied Intelligence (2018) Vol. 49, Iss. 2, pp. 741-763
Closed Access | Times Cited: 41
A hierarchical simple particle swarm optimization with mean dimensional information
Haoran Liu, Jing-Chuang Cui, Ze-Dan Lu, et al.
Applied Soft Computing (2019) Vol. 76, pp. 712-725
Closed Access | Times Cited: 35
Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks
Ke Chen, Bing Xue, Mengjie Zhang, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105568-105568
Closed Access | Times Cited: 35
Chaos-assisted multi-population salp swarm algorithms: Framework and case studies
Yun Liu, Yanqing Shi, Hao Chen, et al.
Expert Systems with Applications (2020) Vol. 168, pp. 114369-114369
Closed Access | Times Cited: 33
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