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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:

Overview of Particle Swarm Optimisation for Feature Selection in Classification
Binh Tran, Bing Xue, Mengjie Zhang
Lecture notes in computer science (2014), pp. 605-617
Closed Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

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: 336
Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic
Wisam Elmasry, Akhan Akbulut, Abdül Halim Zaim
Computer Networks (2019) Vol. 168, pp. 107042-107042
Closed Access | Times Cited: 218
Heterogeneous Ensemble-Based Infill Criterion for Evolutionary Multiobjective Optimization of Expensive Problems
Dan Guo, Yaochu Jin, Jinliang Ding, et al.
IEEE Transactions on Cybernetics (2018) Vol. 49, Iss. 3, pp. 1012-1025
Open Access | Times Cited: 193
A New Representation in PSO for Discretization-Based Feature Selection
Binh Tran, Bing Xue, Mengjie Zhang
IEEE Transactions on Cybernetics (2017) Vol. 48, Iss. 6, pp. 1733-1746
Open Access | Times Cited: 172
A binary ABC algorithm based on advanced similarity scheme for feature selection
Emrah Hançer, Bing Xue, Derviş Karaboğa, et al.
Applied Soft Computing (2015) Vol. 36, pp. 334-348
Open Access | Times Cited: 162
Review on wrapper feature selection approaches
Naoual El Aboudi, Laïla Benhlima
(2016), pp. 1-5
Closed Access | Times Cited: 149
A novel hybrid wrapper–filter approach based on genetic algorithm, particle swarm optimization for feature subset selection
Fateme Moslehi, Abdorrahman Haeri
Journal of Ambient Intelligence and Humanized Computing (2019) Vol. 11, Iss. 3, pp. 1105-1127
Closed Access | Times Cited: 94
Landslide displacement prediction based on multi-source data fusion and sensitivity states
Yong Liu, Chang Xu, Biao Huang, et al.
Engineering Geology (2020) Vol. 271, pp. 105608-105608
Closed Access | Times Cited: 85
A Decision Support System for Wheat Powdery Mildew Risk Prediction Using Weather Monitoring, Machine Learning and Explainable Artificial Intelligence
Grygorii Diachenko, Іvan Laktionov, Oleksandr Vinyukov, et al.
Computers and Electronics in Agriculture (2025) Vol. 230, pp. 109905-109905
Closed Access
Investigation on particle swarm optimisation for feature selection on high-dimensional data: local search and selection bias
Binh Tran, Bing Xue, Mengjie Zhang, et al.
Connection Science (2016) Vol. 28, Iss. 3, pp. 270-294
Closed Access | Times Cited: 56
A Novel Feature Selection Strategy Based on Salp Swarm Algorithm for Plant Disease Detection
Xiaojun Xie, Fei Xia, Yufeng Wu, et al.
Plant Phenomics (2023) Vol. 5
Open Access | Times Cited: 15
Particle swarm optimisation for feature selection: A hybrid filter-wrapper approach
Tony Butler-Yeoman, Bing Xue, Mengjie Zhang
2022 IEEE Congress on Evolutionary Computation (CEC) (2015), pp. 2428-2435
Open Access | Times Cited: 46
Feature selection for entity extraction from multiple biomedical corpora: A PSO-based approach
Shweta Yadav, Asif Ekbal, Sriparna Saha
Soft Computing (2017) Vol. 22, Iss. 20, pp. 6881-6904
Closed Access | Times Cited: 36
Optimizing EMG Classification through Metaheuristic Algorithms
Marcos Avilés, Juvenal Rodríguez‐Reséndiz, Danjela Ibrahimi
(2023)
Open Access | Times Cited: 9
Bare-Bone Particle Swarm Optimisation for Simultaneously Discretising and Selecting Features for High-Dimensional Classification
Binh Tran, Bing Xue, Mengjie Zhang
Lecture notes in computer science (2016), pp. 701-718
Closed Access | Times Cited: 31
A multi-objective algorithm for multi-label filter feature selection problem
Hongbin Dong, Jing Sun, Tao Li, et al.
Applied Intelligence (2020) Vol. 50, Iss. 11, pp. 3748-3774
Closed Access | Times Cited: 24
An in-depth and contrasting survey of meta-heuristic approaches with classical feature selection techniques specific to cervical cancer
Sangeeta Kurman, Sumitra Kisan
Knowledge and Information Systems (2023) Vol. 65, Iss. 5, pp. 1881-1934
Closed Access | Times Cited: 8
Multi-feature fusion and selection method for an improved particle swarm optimization
Lu Xiong, Ruey‐Shun Chen, Xuefeng Zhou, et al.
Journal of Ambient Intelligence and Humanized Computing (2019)
Closed Access | Times Cited: 21
A new penalty-based wrapper fitness function for feature subset selection with evolutionary algorithms
Basabi Chakraborty, Atsushi Kawamura
Journal of Information and Telecommunication (2018) Vol. 2, Iss. 2, pp. 163-180
Open Access | Times Cited: 20
Rocchio algorithm-based particle initialization mechanism for effective PSO classification of high dimensional data
Anwar Ali Yahya, Addin Osman, Mohammad Said El-Bashir
Swarm and Evolutionary Computation (2016) Vol. 34, pp. 18-32
Closed Access | Times Cited: 19
Particle Swarm Optimization for Feature Selection: A Review of Filter-based Classification to Identify Challenges and Opportunities
Marianne Cherrington, David Airehrour, Joan Lu, et al.
2021 IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) (2019), pp. 0523-0529
Closed Access | Times Cited: 17
A hybrid swarm optimization with trapezoidal and pentagonal fuzzy numbers using benchmark functions
Subhabrata Rath, Debashis Dutta
International Journal of Information Technology (2023) Vol. 15, Iss. 5, pp. 2747-2758
Closed Access | Times Cited: 4
Feature Selection Using Improved Forest Optimization Algorithm
Qi Xie, Cheng Geng-guo, Xiao Zhang, et al.
Information Technology And Control (2020) Vol. 49, Iss. 2, pp. 289-301
Open Access | Times Cited: 12
Parallel and Distributed Population based Feature Selection Framework for Health Monitoring
Naoual El Aboudi, Laïla Benhlima
International Journal of Cloud Applications and Computing (2017) Vol. 7, Iss. 1, pp. 57-71
Closed Access | Times Cited: 10
Innovative hybrid metaheuristic algorithms: exponential mutation and dual-swarm strategy for hybrid feature selection problem
Debashis Dutta, Subhabrata Rath
International Journal of Information Technology (2023) Vol. 16, Iss. 1, pp. 77-89
Closed Access | Times Cited: 3
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