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:

PSO and Statistical Clustering for Feature Selection: A New Representation
Bach Hoai Nguyen, Bing Xue, Ivy Liu, et al.
Lecture notes in computer science (2014), pp. 569-581
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

A Survey on Evolutionary Computation Approaches to Feature Selection
Bing Xue, Mengjie Zhang, Will N. Browne, et al.
IEEE Transactions on Evolutionary Computation (2015) Vol. 20, Iss. 4, pp. 606-626
Open Access | Times Cited: 1592

A survey on swarm intelligence approaches to feature selection in data mining
Bach Hoai Nguyen, Bing Xue, Mengjie Zhang
Swarm and Evolutionary Computation (2020) Vol. 54, pp. 100663-100663
Closed Access | Times Cited: 337

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

Automatic design of machine learning via evolutionary computation: A survey
Nan Li, Lianbo Ma, Tiejun Xing, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110412-110412
Closed Access | Times Cited: 27

New mechanism for archive maintenance in PSO-based multi-objective feature selection
Bach Hoai Nguyen, Bing Xue, Ivy Liu, et al.
Soft Computing (2016) Vol. 20, Iss. 10, pp. 3927-3946
Closed Access | Times Cited: 56

A Novel Binary Particle Swarm Optimization Algorithm and Its Applications on Knapsack and Feature Selection Problems
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Proceedings in adaptation, learning and optimization (2016), pp. 319-332
Closed Access | Times Cited: 38

Particle Swarm Optimisation with genetic operators for feature selection
Bach Hoai Nguyen, Bing Xue, Peter Andreae, et al.
2022 IEEE Congress on Evolutionary Computation (CEC) (2017), pp. 286-293
Closed Access | Times Cited: 37

Using Feature Clustering for GP-Based Feature Construction on High-Dimensional Data
Binh Tran, Bing Xue, Mengjie Zhang
Lecture notes in computer science (2017), pp. 210-226
Closed Access | Times Cited: 32

A Survey on Evolutionary Computation Approaches to Feature Selection
Bing Xue, Jun Zhang, Will N. Browne, et al.
(2021)
Open Access | Times Cited: 21

Mutual information for feature selection: estimation or counting?
Bach Hoai Nguyen, Bing Xue, Peter Andreae
Evolutionary Intelligence (2016) Vol. 9, Iss. 3, pp. 95-110
Closed Access | Times Cited: 26

Gaussian Transformation Based Representation in Particle Swarm Optimisation for Feature Selection
Bach Hoai Nguyen, Bing Xue, Ivy Liu, et al.
Lecture notes in computer science (2015), pp. 541-553
Closed Access | Times Cited: 19

A novel feature selection approach based on clustering algorithm
Fateme Moslehi, Abdorrahman Haeri
Journal of Statistical Computation and Simulation (2020) Vol. 91, Iss. 3, pp. 581-604
Closed Access | Times Cited: 17

An Effective Feature Selection Scheme for Healthcare Data Classification Using Binary Particle Swarm Optimization
Yiyuan Chen, Yufeng Wang, Liang Cao, et al.
(2018), pp. 703-707
Closed Access | Times Cited: 17

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

CCFS: A Confidence-Based Cost-Effective Feature Selection Scheme for Healthcare Data Classification
Yiyuan Chen, Yufeng Wang, Liang Cao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2019) Vol. 18, Iss. 3, pp. 902-911
Closed Access | Times Cited: 15

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

Excogitating marine predators algorithm based on random oppositionā€based learning for feature selection
K. Balakrishnan, R. Dhanalakshmi, Utkarsh Mahadeo Khaire
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 4
Closed Access | Times Cited: 10

Particle Swarm Optimization for Feature Selection with Adaptive Mechanism and New Updating Strategy
Ke Chen, Fengyu Zhou, Bine Xue
Lecture notes in computer science (2018), pp. 419-431
Closed Access | Times Cited: 11

FEATURE CLUSTERING FOR PSO-BASED FEATURE CONSTRUCTION ON HIGH-DIMENSIONAL DATA
Idheba Mohamad Ali O. Swesi, Azuraliza Abu Bakar
Journal of Information and Communication Technology (2019) Vol. 18
Open Access | Times Cited: 7

Gene Selection for High-Dimensional Imbalanced Biomedical Data Based on Marine Predators Algorithm and Evolutionary Population Dynamics
Khaled H. Almotairi
Arabian Journal for Science and Engineering (2023) Vol. 49, Iss. 3, pp. 3935-3961
Closed Access | Times Cited: 2

Particle Swarm Optimisation for Feature Selection: A Size-Controlled Approach.
Tony Butler-Yeoman, Bing Xue, Mengjie Zhang
Australasian Data Mining Conference (2015), pp. 151-159
Closed Access | Times Cited: 4

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