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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 Constrained Competitive Swarm Optimizer With an SVM-Based Surrogate Model for Feature Selection
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2022) Vol. 28, Iss. 1, pp. 2-16
Closed Access | Times Cited: 20

Showing 20 citing articles:

Survey on Evolutionary Deep Learning: Principles, Algorithms, Applications, and Open Issues
Nan Li, Lianbo Ma, Guo Yu, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 2, pp. 1-34
Open Access | Times Cited: 60
A Survey on Learnable Evolutionary Algorithms for Scalable Multiobjective Optimization
Songbai Liu, Qiuzhen Lin, Jianqiang Li, et al.
IEEE Transactions on Evolutionary Computation (2023) Vol. 27, Iss. 6, pp. 1941-1961
Open Access | Times Cited: 51
Reinforcement learning guided auto-select optimization algorithm for feature selection
Hongbo Zhang, Xiaofeng Yue, Xueliang Gao
Expert Systems with Applications (2025) Vol. 268, pp. 126320-126320
Closed Access | Times Cited: 1
Optimized fuzzy K-nearest neighbor approach for accurate lung cancer prediction based on radial endobronchial ultrasonography
Jie Xing, Chengye Li, Peiliang Wu, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108038-108038
Closed Access | Times Cited: 6
A novel importance-guided particle swarm optimization based on MLP for solving large-scale feature selection problems
Yu Xue, Chenyi Zhang
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101760-101760
Closed Access | Times Cited: 5
A Surrogate-Assisted Gray Prediction Evolution Algorithm for High-Dimensional Expensive Optimization Problems
Xiaoliang Huang, Hongbing Liu, Quan Zhou, et al.
Mathematics (2025) Vol. 13, Iss. 6, pp. 1007-1007
Open Access
A novel cooperative co-evolutionary algorithm with context vector enhancement strategy for feature selection on high-dimensional classification
Zhaoyang Zhang, Jianwu Xue
Computers & Operations Research (2025), pp. 107009-107009
Closed Access
Intelligent learning-based cooperative and competitive multi-objective optimization for energy-aware distributed heterogeneous welding shop scheduling
Fayong Zhang, LI Cai-xian, Rui Li, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 3, pp. 3459-3471
Open Access | Times Cited: 2
A leader-adaptive particle swarm optimization with dimensionality reduction strategy for feature selection
Shanshan Yang, Bo Wei, Li Deng, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101743-101743
Closed Access | Times Cited: 2
An adaptive pyramid PSO for high-dimensional feature selection
Jin Xiao, Bo Wei, Li Deng, et al.
Expert Systems with Applications (2024) Vol. 257, pp. 125084-125084
Closed Access | Times Cited: 1
Surrogate-assisted evolutionary sampling particle swarm optimization for high-dimensional expensive optimization
Kuihua Huang, Huixiang Zhen, Wenyin Gong, et al.
Neural Computing and Applications (2023)
Closed Access | Times Cited: 2
Adaptive Aggregative Multitask Competitive Particle Swarm Optimization with Bi-Directional Asymmetric Flip Strategy for High-Dimensional Feature Selection
Yong Jun Zhang, Ke-Jing Du, Yi Jiang, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1515-1523
Closed Access
Surrogate-Assisted Flip for Evolutionary High-Dimensional Multiobjective Feature Selection
Qi-Te Yang, Liu-Yue Luo, Chunhua Chen, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
Layer-wise Learning Rate Optimization for Task-Dependent Fine-Tuning of Pre-trained Models: An Evolutionary Approach
Chenyang Bu, Yuxin Liu, Manzong Huang, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 4, Iss. 4, pp. 1-23
Open Access
Joint scheduling of hybrid flow-shop with limited automatic guided vehicles: A hierarchical learning-based swarm optimizer
Shengwei Xing, Zhongshi Shao, Weishi Shao, et al.
Computers & Industrial Engineering (2024) Vol. 198, pp. 110686-110686
Closed Access
Evolutionary multistage multitasking method for feature selection in imbalanced data
Weiping Ding, Hongcheng Yao, Jiashuang Huang, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101821-101821
Closed Access
A multi-objective evolutionary algorithm with mutual-information-guided improvement phase for feature selection in complex manufacturing processes
An‐Da Li, Zhen He, Qing Wang, et al.
European Journal of Operational Research (2024)
Closed Access
Multiobjective analytical evolutionary algorithm for train stowage planning problem of steel industry
Yun Dong, Xiangling Zhao
International Journal of Production Research (2023) Vol. 62, Iss. 11, pp. 4122-4142
Closed Access | Times Cited: 1
Evolutionary Classification
Bach Hoai Nguyen, Bing Xue, Will N. Browne, et al.
Genetic and evolutionary computation (2023), pp. 171-204
Closed Access | Times Cited: 1
AMTEA-Based Multi-task Optimisation for Multi-objective Feature Selection in Classification
Jiabin Lin, Qi Chen, Bing Xue, et al.
Lecture notes in computer science (2023), pp. 623-639
Closed Access
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