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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 Level-Based Learning Swarm Optimizer for Large-Scale Optimization
Qiang Yang, Wei‐Neng Chen, Jeremiah D. Deng, et al.
IEEE Transactions on Evolutionary Computation (2017) Vol. 22, Iss. 4, pp. 578-594
Open Access | Times Cited: 267

Showing 1-25 of 267 citing articles:

Comprehensive Learning Particle Swarm Optimization Algorithm With Local Search for Multimodal Functions
Yulian Cao, Zhang Han, Wenfeng Li, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 4, pp. 718-731
Closed Access | Times Cited: 341
Surrogate-assisted hierarchical particle swarm optimization
Haibo Yu, Ying Tan, Jianchao Zeng, et al.
Information Sciences (2018) Vol. 454-455, pp. 59-72
Open Access | Times Cited: 262
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: 259
A survey on evolutionary computation for complex continuous optimization
Zhi‐Hui Zhan, Lin Shi, Kay Chen Tan, et al.
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 59-110
Open Access | Times Cited: 253
War Strategy Optimization Algorithm: A New Effective Metaheuristic Algorithm for Global Optimization
Ayyarao S. L. V. Tummala, N. S. S. Ramakrishna, Rajvikram Madurai Elavarasan, et al.
IEEE Access (2022) Vol. 10, pp. 25073-25105
Open Access | Times Cited: 252
Dynamic Group Learning Distributed Particle Swarm Optimization for Large-Scale Optimization and Its Application in Cloud Workflow Scheduling
Zijia Wang, Zhi‐Hui Zhan, Wei–Jie Yu, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 6, pp. 2715-2729
Open Access | Times Cited: 208
Evolutionary Transfer Optimization - A New Frontier in Evolutionary Computation Research
Kay Chen Tan, Liang Feng, Min Jiang
IEEE Computational Intelligence Magazine (2021) Vol. 16, Iss. 1, pp. 22-33
Closed Access | Times Cited: 189
Adaptive Granularity Learning Distributed Particle Swarm Optimization for Large-Scale Optimization
Zijia Wang, Zhi‐Hui Zhan, Sam Kwong, et al.
IEEE Transactions on Cybernetics (2020) Vol. 51, Iss. 3, pp. 1175-1188
Open Access | Times Cited: 166
A reinforcement learning level-based particle swarm optimization algorithm for large-scale optimization
Feng Wang, Xujie Wang, Shilei Sun
Information Sciences (2022) Vol. 602, pp. 298-312
Closed Access | Times Cited: 138
Co-evolutionary competitive swarm optimizer with three-phase for large-scale complex optimization problem
Chen Huang, Xiangbing Zhou, Xiaojuan Ran, et al.
Information Sciences (2022) Vol. 619, pp. 2-18
Closed Access | Times Cited: 113
Pyramid particle swarm optimization with novel strategies of competition and cooperation
Taiyong Li, Jiayi Shi, Wu Deng, et al.
Applied Soft Computing (2022) Vol. 121, pp. 108731-108731
Closed Access | Times Cited: 82
PSO-ELPM: PSO with elite learning, enhanced parameter updating, and exponential mutation operator
Hadi Moazen, Sajjad Molaei, Leili Farzinvash, et al.
Information Sciences (2023) Vol. 628, pp. 70-91
Closed Access | Times Cited: 54
Heterogeneous cognitive learning particle swarm optimization for large-scale optimization problems
En Zhang, Zihao Nie, Qiang Yang, et al.
Information Sciences (2023) Vol. 633, pp. 321-342
Closed Access | Times Cited: 45
A multi-swarm optimizer with a reinforcement learning mechanism for large-scale optimization
Xujie Wang, Feng Wang, Qi He, et al.
Swarm and Evolutionary Computation (2024) Vol. 86, pp. 101486-101486
Closed Access | Times Cited: 18
Large-scale evolutionary optimization: A review and comparative study
Jing Liu, Ruhul Sarker, Saber Elsayed, et al.
Swarm and Evolutionary Computation (2024) Vol. 85, pp. 101466-101466
Open Access | Times Cited: 16
Competitive Swarm Optimizer: A decade survey
Dikshit Chauhan, Shivani, Ran Cheng
Swarm and Evolutionary Computation (2024) Vol. 87, pp. 101543-101543
Closed Access | Times Cited: 14
Path Planning for Autonomous Underwater Vehicles: An Ant Colony Algorithm Incorporating Alarm Pheromone
Yining Ma, Yue‐Jiao Gong, Chufeng Xiao, et al.
IEEE Transactions on Vehicular Technology (2018) Vol. 68, Iss. 1, pp. 141-154
Closed Access | Times Cited: 156
A Classifier-Assisted Level-Based Learning Swarm Optimizer for Expensive Optimization
Feng-Feng Wei, Wei‐Neng Chen, Qiang Yang, et al.
IEEE Transactions on Evolutionary Computation (2020) Vol. 25, Iss. 2, pp. 219-233
Closed Access | Times Cited: 101
A Distributed Swarm Optimizer With Adaptive Communication for Large-Scale Optimization
Qiang Yang, Wei‐Neng Chen, Tianlong Gu, et al.
IEEE Transactions on Cybernetics (2019) Vol. 50, Iss. 7, pp. 3393-3408
Open Access | Times Cited: 85
Region Encoding Helps Evolutionary Computation Evolve Faster: A New Solution Encoding Scheme in Particle Swarm for Large-Scale Optimization
Jun-Rong Jian, Zong-Gan Chen, Zhi‐Hui Zhan, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 25, Iss. 4, pp. 779-793
Open Access | Times Cited: 82
An adaptive particle swarm optimizer with decoupled exploration and exploitation for large scale optimization
Dongyang Li, Weian Guo, Alexander Lerch, et al.
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100789-100789
Closed Access | Times Cited: 79
XGBoost Optimized by Adaptive Particle Swarm Optimization for Credit Scoring
Chao Qin, Yunfeng Zhang, Fangxun Bao, et al.
Mathematical Problems in Engineering (2021) Vol. 2021, pp. 1-18
Open Access | Times Cited: 75
Multiple-strategy learning particle swarm optimization for large-scale optimization problems
Hao Wang, Mengnan Liang, Chaoli Sun, et al.
Complex & Intelligent Systems (2020) Vol. 7, Iss. 1, pp. 1-16
Open Access | Times Cited: 74
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: 62
A Cluster-Based Competitive Particle Swarm Optimizer with a Sparse Truncation Operator for Multi-Objective Optimization
Xiangyu Wang, Bingran Zhang, Jian Wang, et al.
Swarm and Evolutionary Computation (2022) Vol. 71, pp. 101083-101083
Closed Access | Times Cited: 60
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