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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 return-cost-based binary firefly algorithm for feature selection
Zhang Yon, Xianfang Song, Dunwei Gong
Information Sciences (2017) Vol. 418-419, pp. 561-574
Closed Access | Times Cited: 204

Showing 1-25 of 204 citing articles:

Investigating the impact of data normalization on classification performance
Dalwinder Singh, Birmohan Singh
Applied Soft Computing (2019) Vol. 97, pp. 105524-105524
Closed Access | Times Cited: 1130
Metaheuristic Algorithms on Feature Selection: A Survey of One Decade of Research (2009-2019)
Prachi Agrawal, Hattan F. Abutarboush, Talari Ganesh, et al.
IEEE Access (2021) Vol. 9, pp. 26766-26791
Open Access | Times Cited: 430
Binary differential evolution with self-learning for multi-objective feature selection
Zhang Yon, Dunwei Gong, Xiao‐Zhi Gao, et al.
Information Sciences (2019) Vol. 507, pp. 67-85
Closed Access | Times Cited: 366
Review of swarm intelligence-based feature selection methods
Mehrdad Rostami, Kamal Berahmand, Elahe Nasiri, et al.
Engineering Applications of Artificial Intelligence (2021) Vol. 100, pp. 104210-104210
Open Access | Times Cited: 356
Self-Adaptive Particle Swarm Optimization for Large-Scale Feature Selection in Classification
Yu Xue, Bing Xue, Jun Zhang
ACM Transactions on Knowledge Discovery from Data (2019) Vol. 13, Iss. 5, pp. 1-27
Open Access | Times Cited: 302
A new fusion of grey wolf optimizer algorithm with a two-phase mutation for feature selection
Mohamed Abdel‐Basset, Syed Bilal Hussain Shah, Ibrahim El-Henawy, et al.
Expert Systems with Applications (2019) Vol. 139, pp. 112824-112824
Closed Access | Times Cited: 285
Variable-Size Cooperative Coevolutionary Particle Swarm Optimization for Feature Selection on High-Dimensional Data
Xianfang Song, Zhang Yon, Yinan Guo, et al.
IEEE Transactions on Evolutionary Computation (2020) Vol. 24, Iss. 5, pp. 882-895
Closed Access | Times Cited: 281
A Fast Hybrid Feature Selection Based on Correlation-Guided Clustering and Particle Swarm Optimization for High-Dimensional Data
Xianfang Song, Zhang Yon, Dunwei Gong, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9573-9586
Closed Access | Times Cited: 230
A comprehensive survey on recent metaheuristics for feature selection
Tansel Dökeroğlu, Ayça Deniz, Hakan Ezgi Kızılöz
Neurocomputing (2022) Vol. 494, pp. 269-296
Open Access | Times Cited: 227
Feature selection using bare-bones particle swarm optimization with mutual information
Xianfang Song, Zhang Yon, Dunwei Gong, et al.
Pattern Recognition (2020) Vol. 112, pp. 107804-107804
Closed Access | Times Cited: 203
A Survey of Learning-Based Intelligent Optimization Algorithms
Wei Li, Gai‐Ge Wang, Amir H. Gandomi
Archives of Computational Methods in Engineering (2021) Vol. 28, Iss. 5, pp. 3781-3799
Closed Access | Times Cited: 187
Elephant Herding Optimization: Variants, Hybrids, and Applications
Juan Li, Hong Lei, Amir H. Alavi, et al.
Mathematics (2020) Vol. 8, Iss. 9, pp. 1415-1415
Open Access | Times Cited: 162
Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization
Zi-Min Gu, Gai‐Ge Wang
Future Generation Computer Systems (2020) Vol. 107, pp. 49-69
Closed Access | Times Cited: 156
Multiclass feature selection with metaheuristic optimization algorithms: a review
Olatunji Akinola, Absalom E. Ezugwu, Jeffrey O. Agushaka, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 22, pp. 19751-19790
Open Access | Times Cited: 119
A Review of the Modification Strategies of the Nature Inspired Algorithms for Feature Selection Problem
Ruba Abu Khurma, Ibrahim Aljarah, Ahmad Sharieh, et al.
Mathematics (2022) Vol. 10, Iss. 3, pp. 464-464
Open Access | Times Cited: 100
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: 15
Self-adaptive parameter and strategy based particle swarm optimization for large-scale feature selection problems with multiple classifiers
Yu Xue, Tao Tang, Wei Pang, et al.
Applied Soft Computing (2019) Vol. 88, pp. 106031-106031
Open Access | Times Cited: 140
A problem-specific non-dominated sorting genetic algorithm for supervised feature selection
Yu Zhou, Wenjun Zhang, Junhao Kang, et al.
Information Sciences (2020) Vol. 547, pp. 841-859
Closed Access | Times Cited: 120
Binary Multi-Objective Grey Wolf Optimizer for Feature Selection in Classification
Qasem Al-Tashi, Said Jadid Abdulkadir, Helmi Md Rais, et al.
IEEE Access (2020) Vol. 8, pp. 106247-106263
Open Access | Times Cited: 111
Mayfly in Harmony: A New Hybrid Meta-Heuristic Feature Selection Algorithm
Trinav Bhattacharyya, Bitanu Chatterjee, Pawan Kumar Singh, et al.
IEEE Access (2020) Vol. 8, pp. 195929-195945
Open Access | Times Cited: 110
Learning-based elephant herding optimization algorithm for solving numerical optimization problems
Wei Li, Gai‐Ge Wang, Amir H. Alavi
Knowledge-Based Systems (2020) Vol. 195, pp. 105675-105675
Closed Access | Times Cited: 109
Binary coyote optimization algorithm for feature selection
Rodrigo Clemente Thom de Souza, Camila Andrade de Macedo, Leandro dos Santos Coelho, et al.
Pattern Recognition (2020) Vol. 107, pp. 107470-107470
Closed Access | Times Cited: 105
Particle swarm optimization and feature selection for intrusion detection system
Nilesh Kunhare, Ritu Tiwari, Joydip Dhar
Sadhana (2020) Vol. 45, Iss. 1
Closed Access | Times Cited: 94
A Duplication Analysis-Based Evolutionary Algorithm for Biobjective Feature Selection
Hang Xu, Bing Xue, Mengjie Zhang
IEEE Transactions on Evolutionary Computation (2020) Vol. 25, Iss. 2, pp. 205-218
Closed Access | Times Cited: 94
A novel wrapper-based feature subset selection method using modified binary differential evolution algorithm
Omid Tarkhaneh, Thanh Thi Nguyen, Samaneh Mazaheri
Information Sciences (2021) Vol. 565, pp. 278-305
Closed Access | Times Cited: 90
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