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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:

Particle swarm optimization based on dimensional learning strategy
Gui‐Ping Xu, Quanlong Cui, Xiaohu Shi, et al.
Swarm and Evolutionary Computation (2019) Vol. 45, pp. 33-51
Open Access | Times Cited: 197

Showing 1-25 of 197 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: 856
Population size in Particle Swarm Optimization
A. Piotrowski, Jarosław J. Napiórkowski, Agnieszka E. Piotrowska
Swarm and Evolutionary Computation (2020) Vol. 58, pp. 100718-100718
Open Access | Times Cited: 264
A Survey of Learning-Based Intelligent Optimization Algorithms
Wei Li, Gai‐Ge Wang, Amir H. Gandomi
Archives of Computational Methods in Engineering (2021) Vol. 28, Iss. 5, pp. 3781-3799
Closed Access | Times Cited: 193
Triple Archives Particle Swarm Optimization
Xuewen Xia, Ling Gui, Fei Yu, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 12, pp. 4862-4875
Open Access | Times Cited: 191
A Novel Hybrid Particle Swarm Optimization Algorithm for Path Planning of UAVs
Zhenhua Yu, Zhijie Si, Xiaobo Li, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 22, pp. 22547-22558
Closed Access | Times Cited: 163
A modified particle swarm optimization using adaptive strategy
Hao Liu, XuWei Zhang, Liangping Tu
Expert Systems with Applications (2020) Vol. 152, pp. 113353-113353
Closed Access | Times Cited: 152
An improved particle swarm optimization algorithm for task scheduling in cloud computing
Poria Pirozmand, Hoda Jalalinejad, Ali Asghar Rahmani Hosseinabadi, et al.
Journal of Ambient Intelligence and Humanized Computing (2023) Vol. 14, Iss. 4, pp. 4313-4327
Closed Access | Times Cited: 60
Velocity pausing particle swarm optimization: a novel variant for global optimization
Tareq M. Shami, Seyedali Mirjalili, Yasser Al-Eryani, et al.
Neural Computing and Applications (2023)
Open Access | Times Cited: 44
Intelligent optimization design of squeeze casting process parameters based on neural network and improved sparrow search algorithm
Deng Jianxin, Guangming Liu, Ling Wang, et al.
Journal of Industrial Information Integration (2024) Vol. 39, pp. 100600-100600
Closed Access | Times Cited: 18
An efficient bio-inspired algorithm based on humpback whale migration for constrained engineering optimization
Mojtaba Ghasemi, Mohamed Deriche, Pavel Trojovský, et al.
Results in Engineering (2025), pp. 104215-104215
Open Access | Times Cited: 3
Cumulative Major Advances in Particle Swarm Optimization from 2018 to the Present: Variants, Analysis and Applications
Donglin Zhu, R R Li, Yangyang Zheng, et al.
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 2
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 | Times Cited: 2
Computer-Aided Gastrointestinal Diseases Analysis From Wireless Capsule Endoscopy: A Framework of Best Features Selection
Muhammad Attique Khan, Seifedine Kadry, Majed Alhaisoni, et al.
IEEE Access (2020) Vol. 8, pp. 132850-132859
Open Access | Times Cited: 132
A constrained multi-swarm particle swarm optimization without velocity for constrained optimization problems
Koon Meng Ang, Wei Hong Lim, Nor Ashidi Mat Isa, et al.
Expert Systems with Applications (2019) Vol. 140, pp. 112882-112882
Closed Access | Times Cited: 119
Multipopulation cooperative particle swarm optimization with a mixed mutation strategy
Wei Li, Xiang Meng, Ying Huang, et al.
Information Sciences (2020) Vol. 529, pp. 179-196
Closed Access | Times Cited: 104
Particle swarm optimization with adaptive learning strategy
Yunfeng Zhang, Xinxin Liu, Fangxun Bao, et al.
Knowledge-Based Systems (2020) Vol. 196, pp. 105789-105789
Closed Access | Times Cited: 101
Hybrid algorithms based on combining reinforcement learning and metaheuristic methods to solve global optimization problems
Amir Seyyedabbasi, Royal Aliyev, Farzad Kiani, et al.
Knowledge-Based Systems (2021) Vol. 223, pp. 107044-107044
Closed Access | Times Cited: 100
PSO-sono: A novel PSO variant for single-objective numerical optimization
Zhenyu Meng, Yuxin Zhong, Guojun Mao, et al.
Information Sciences (2021) Vol. 586, pp. 176-191
Closed Access | Times Cited: 92
Heterogeneous comprehensive learning and dynamic multi-swarm particle swarm optimizer with two mutation operators
Shengliang Wang, Genyou Liu, Ming Gao, et al.
Information Sciences (2020) Vol. 540, pp. 175-201
Closed Access | Times Cited: 87
Forecasting electricity consumption using a novel hybrid model
Guo‐Feng Fan, Xiao Wei, Yating Li, et al.
Sustainable Cities and Society (2020) Vol. 61, pp. 102320-102320
Closed Access | Times Cited: 78
Surrogate-Assisted Multipopulation Particle Swarm Optimizer for High-Dimensional Expensive Optimization
Yuanchao Liu, Jianchang Liu, Yaochu Jin
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 7, pp. 4671-4684
Closed Access | Times Cited: 75
Bee-foraging learning particle swarm optimization
Xu Chen, H Tianfield, Wenli Du
Applied Soft Computing (2021) Vol. 102, pp. 107134-107134
Open Access | Times Cited: 64
Elite archives-driven particle swarm optimization for large scale numerical optimization and its engineering applications
Yiying Zhang
Swarm and Evolutionary Computation (2022) Vol. 76, pp. 101212-101212
Closed Access | Times Cited: 57
Boolean Particle Swarm Optimization with various Evolutionary Population Dynamics approaches for feature selection problems
Thaer Thaher, Hamouda Chantar, Jingwei Too, et al.
Expert Systems with Applications (2022) Vol. 195, pp. 116550-116550
Closed Access | Times Cited: 56
Optimizing the parameters of hybrid active power filters through a comprehensive and dynamic multi-swarm gravitational search algorithm
Dikshit Chauhan, Anupam Yadav
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106469-106469
Closed Access | Times Cited: 26
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