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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-Model Based Particle Swarm Optimisation with Local Search for Feature Selection in Classification
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Lecture notes in computer science (2017), pp. 487-505
Closed Access | Times Cited: 15

Showing 15 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
Evolutionary computation for feature selection in classification: A comprehensive survey of solutions, applications and challenges
Xianfang Song, Yong Zhang, Wanqiu Zhang, et al.
Swarm and Evolutionary Computation (2024) Vol. 90, pp. 101661-101661
Closed Access | Times Cited: 16
Correlation-Guided Updating Strategy for Feature Selection in Classification With Surrogate-Assisted Particle Swarm Optimization
Ke Chen, Bing Xue, Mengjie Zhang, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 5, pp. 1015-1029
Closed Access | Times Cited: 57
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: 56
Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data
Raquel Espinosa, Fernando Jiménez, José Palma
Information Sciences (2022) Vol. 622, pp. 1064-1091
Open Access | Times Cited: 38
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection
Nick Zhang, Abhishek Gupta, Zefeng Chen, et al.
IEEE Transactions on Evolutionary Computation (2021) Vol. 26, Iss. 1, pp. 130-144
Closed Access | Times Cited: 34
A Brief Survey on Nature-Inspired Metaheuristics for Feature Selection in Classification in this Decade
Wei Liu, Jianyu Wang
(2019), pp. 424-429
Closed Access | Times Cited: 39
PSO with surrogate models for feature selection: static and dynamic clustering-based methods
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Memetic Computing (2018) Vol. 10, Iss. 3, pp. 291-300
Closed Access | Times Cited: 36
Evolutionary feature manipulation in data mining/big data
Bing Xue, Mengjie Zhang
ACM SIGEVOlution (2017) Vol. 10, Iss. 1, pp. 4-11
Closed Access | Times Cited: 19
Applications of Evolutionary Computation
Giovanni Squillero, Kevin Sim
Lecture notes in computer science (2017)
Closed Access | Times Cited: 17
A Hybrid GA-GP Method for Feature Reduction in Classification
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Lecture notes in computer science (2017), pp. 591-604
Closed Access | Times Cited: 13
Genetic Selection of Training Sets for (Not Only) Artificial Neural Networks
Jakub Nalepa, Michał Myller, Szymon Piechaczek, et al.
Communications in computer and information science (2018), pp. 194-206
Closed Access | Times Cited: 5
A Correlation-Guided Cooperative Coevolutionary Method for Feature Selection Via Interaction Learning-Based Space Division
Yaqing Hou, Huiyue Sun, Gonglin Yuan, et al.
(2024)
Closed Access
Applications of Evolutionary Computation
Giovanni Squillero, Kevin Sim
Lecture notes in computer science (2017)
Closed Access | Times Cited: 2
Lean evolutionary machine learning by multitasking simpler and hard tasks
Nick Shihui Zhang
(2023)
Open Access
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