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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:

Surrogate Sample-Assisted Particle Swarm Optimization for Feature Selection on High-Dimensional Data
Xianfang Song, Zhang Yon, Dunwei Gong, et al.
IEEE Transactions on Evolutionary Computation (2022) Vol. 27, Iss. 3, pp. 595-609
Closed Access | Times Cited: 55

Showing 26-50 of 55 citing articles:

A novel improved lemurs optimization algorithm for feature selection problems
Ra’ed M. Al-Khatib, Nour Alqudah, Mahmoud Saleh Jawarneh, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101704-101704
Open Access | Times Cited: 8
Grid Classification-Based Surrogate-Assisted Particle Swarm Optimization for Expensive Multiobjective Optimization
Qi-Te Yang, Zhi‐Hui Zhan, Xiao-Fang Liu, et al.
IEEE Transactions on Evolutionary Computation (2023), pp. 1-1
Open Access | Times Cited: 8
Adaptive threshold optimisation for online feature selection using dynamic particle swarm optimisation in determining feature relevancy and redundancy
Ezzatul Akmal Kamaru Zaman, Azlin Ahmad, Azlinah Mohamed
Applied Soft Computing (2024) Vol. 156, pp. 111477-111477
Closed Access | Times Cited: 2
A two-stage clonal selection algorithm for local feature selection on high-dimensional data
Yi Wang, Hao Tian, Tao Li, et al.
Information Sciences (2024) Vol. 677, pp. 120867-120867
Closed Access | Times Cited: 2
Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
Atiq Ur Rehman, Samir Brahim Belhaouari, Amine Bermak
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101701-101701
Open Access | Times Cited: 2
Multi-strategy self-learning particle swarm optimization algorithm based on reinforcement learning
Xiaoding Meng, Hecheng Li, Anshan Chen
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 5, pp. 8498-8530
Open Access | Times Cited: 6
An improved binary particle swarm optimization algorithm for clinical cancer biomarker identification in microarray data
Guicheng Yang, Wei Li, Weidong Xie, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 244, pp. 107987-107987
Closed Access | Times Cited: 6
An Efficient Hybrid Feature Selection Method Using the Artificial Immune Algorithm for High-Dimensional Data
Yongbin Zhu, Tao Li, Wenshan Li
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-21
Open Access | Times Cited: 10
An ensemble learning based IDS using Voting rule: VEL-IDS
Sura Emanet, Gozde Karatas Baydoğmus, Önder Demir
PeerJ Computer Science (2023) Vol. 9, pp. e1553-e1553
Open Access | Times Cited: 5
A hybrid feature selection model for identifying groups of critical elements in aero‐engine assembly
Jiali Cheng, HU Zong-chun, Wenhao Lu, et al.
Quality and Reliability Engineering International (2024) Vol. 40, Iss. 5, pp. 2178-2195
Closed Access | Times Cited: 1
A Population Initialization Method Based on Similarity and Mutual Information in Evolutionary Algorithm for Bi-Objective Feature Selection
Xu Cai, Yu Xue
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 4, Iss. 3, pp. 1-21
Open Access | Times Cited: 1
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: 1
Fitness and historical success information-assisted binary particle swarm optimization for feature selection
Shubham Gupta, Saurabh Gupta
Knowledge-Based Systems (2024) Vol. 306, pp. 112699-112699
Closed Access | Times Cited: 1
A multiple surrogate-assisted hybrid evolutionary feature selection algorithm
Wanqiu Zhang, Ying Hu, Zhang Yon, et al.
Swarm and Evolutionary Computation (2024) Vol. 92, pp. 101809-101809
Closed Access | Times Cited: 1
Towards an Improved Particle Swarm Optimization for Feature Selection: A Survey
Jeremiah Isuwa
SLU Journal of Science and Technology (2023), pp. 59-73
Open Access | Times Cited: 2
Minimum spanning tree niching-based differential evolution with knowledge-driven update strategy for multimodal optimization problems
Xiangqian Li, Hong Zhao, Jing Liu
Applied Soft Computing (2023) Vol. 145, pp. 110589-110589
Open Access | Times Cited: 2
Fine-Grain Knowledge Transfer-based Multitask Particle Swarm Optimization with Dual Clustering-based Task Generation for High-Dimensional Feature Selection
Xinyu Wang, Qi-Te Yang, Yi Jiang, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1506-1514
Closed Access
Automatic similarity feature selection for ontology matching with semantic sampling
Xingsi Xue, Jerry Chun‐Wei Lin, Zhaoyun Xu
Knowledge-Based Systems (2024) Vol. 302, pp. 112392-112392
Closed Access
A Multiple Surrogate-Assisted Hybrid Evolutionary Feature Selection Algorithm
Wanqiu Zhang, Ying Hu, Zhang Yon, et al.
(2024)
Closed Access
A Robust Multilayer X-Architecture Global Routing System Based on Particle Swarm Optimization
Genggeng Liu, Yuhan Zhu, Zhen Zhuang, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 9, pp. 5627-5640
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
A Surrogate-Assisted Evolutionary Algorithm for Expensive Dynamic Multimodal Optimzation
Xunfeng Wu, Songbai Liu, Junkai Ji, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2024), pp. 1-8
Closed Access
UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data
Behrouz Ahadzadeh, Moloud Abdar, Mahdieh Foroumandi, et al.
Swarm and Evolutionary Computation (2024) Vol. 91, pp. 101715-101715
Open Access
A Novel Snow Leopard Optimization for High-Dimensional Feature Selection Problems
Jia Guo, Wenhao Ye, Dong Wang, et al.
Sensors (2024) Vol. 24, Iss. 22, pp. 7161-7161
Open Access
A fast-flying particle swarm optimization for resolving constrained optimization and feature selection problems
Ajit Kumar Mahapatra, Nibedan Panda, Madhumita Mahapatra, et al.
Cluster Computing (2024) Vol. 28, Iss. 2
Closed Access

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