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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 social learning particle swarm optimization algorithm for scalable optimization
Ran Cheng, Yaochu Jin
Information Sciences (2014) Vol. 291, pp. 43-60
Closed Access | Times Cited: 670

Showing 1-25 of 670 citing articles:

Imitation Learning
Ahmed Hussein, Mohamed Medhat Gaber, Eyad Elyan, et al.
ACM Computing Surveys (2017) Vol. 50, Iss. 2, pp. 1-35
Open Access | Times Cited: 774
A Decision Variable Clustering-Based Evolutionary Algorithm for Large-Scale Many-Objective Optimization
Xingyi Zhang, Ye Tian, Ran Cheng, et al.
IEEE Transactions on Evolutionary Computation (2016) Vol. 22, Iss. 1, pp. 97-112
Open Access | Times Cited: 516
A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems
İbrahim Berkan Aydilek
Applied Soft Computing (2018) Vol. 66, pp. 232-249
Closed Access | Times Cited: 383
Surrogate-Assisted Cooperative Swarm Optimization of High-Dimensional Expensive Problems
Chaoli Sun, Yaochu Jin, Ran Cheng, et al.
IEEE Transactions on Evolutionary Computation (2017) Vol. 21, Iss. 4, pp. 644-660
Open Access | Times Cited: 359
Feature selection for high-dimensional classification using a competitive swarm optimizer
Shenkai Gu, Ran Cheng, Yaochu Jin
Soft Computing (2016) Vol. 22, Iss. 3, pp. 811-822
Closed Access | Times Cited: 343
Test Problems for Large-Scale Multiobjective and Many-Objective Optimization
Ran Cheng, Yaochu Jin, Markus Olhofer, et al.
IEEE Transactions on Cybernetics (2016) Vol. 47, Iss. 12, pp. 4108-4121
Open Access | Times Cited: 306
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: 268
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: 265
A novel hybrid approach based on a swarm intelligence optimized extreme learning machine for flash flood susceptibility mapping
Dieu Tien Bui, Phuong Thao Thi Ngo, Tien Dat Pham, et al.
CATENA (2019) Vol. 179, pp. 184-196
Closed Access | Times Cited: 264
Particle Swarm Optimization With a Balanceable Fitness Estimation for Many-Objective Optimization Problems
Qiuzhen Lin, Songbai Liu, Qingling Zhu, et al.
IEEE Transactions on Evolutionary Computation (2016) Vol. 22, Iss. 1, pp. 32-46
Closed Access | Times Cited: 262
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: 254
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
A particle swarm optimization algorithm for mixed-variable optimization problems
Feng Wang, Heng Zhang, Aimin Zhou
Swarm and Evolutionary Computation (2020) Vol. 60, pp. 100808-100808
Closed Access | Times Cited: 240
Biogeography-based learning particle swarm optimization
Xu Chen, Huaglory Tianfield, Congli Mei, et al.
Soft Computing (2016) Vol. 21, Iss. 24, pp. 7519-7541
Closed Access | Times Cited: 220
A self-adaptive multi-population based Jaya algorithm for engineering optimization
R. Venkata Rao, Ankit Saroj
Swarm and Evolutionary Computation (2017) Vol. 37, pp. 1-26
Closed Access | Times Cited: 219
Phasor particle swarm optimization: a simple and efficient variant of PSO
Mojtaba Ghasemi, Ebrahim Akbari, Abolfazl Rahimnejad, et al.
Soft Computing (2018) Vol. 23, Iss. 19, pp. 9701-9718
Closed Access | Times Cited: 212
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
Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis
Xin Luo, Ye Yuan, Sili Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3958-3970
Closed Access | Times Cited: 192
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: 188
A Recursive Decomposition Method for Large Scale Continuous Optimization
Yuan Sun, Michael Kirley, Saman Halgamuge
IEEE Transactions on Evolutionary Computation (2017) Vol. 22, Iss. 5, pp. 647-661
Closed Access | Times Cited: 176
Particle Swarm Optimization
Ke-Lin Du, M.N.S. Swamy
Springer eBooks (2016), pp. 153-173
Closed Access | Times Cited: 173
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
Multiobjective Infill Criterion Driven Gaussian Process-Assisted Particle Swarm Optimization of High-Dimensional Expensive Problems
Jie Tian, Ying Tan, Jianchao Zeng, et al.
IEEE Transactions on Evolutionary Computation (2018) Vol. 23, Iss. 3, pp. 459-472
Open Access | Times Cited: 163
A Novel Evolutionary Sampling Assisted Optimization Method for High-Dimensional Expensive Problems
Xinjing Wang, G. Gary Wang, Baowei Song, et al.
IEEE Transactions on Evolutionary Computation (2019) Vol. 23, Iss. 5, pp. 815-827
Closed Access | Times Cited: 148
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: 139
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