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:

Hybrid particle swarm optimization with spiral-shaped mechanism for feature selection
Ke Chen, Fengyu Zhou, Xianfeng Yuan
Expert Systems with Applications (2019) Vol. 128, pp. 140-156
Closed Access | Times Cited: 172

Showing 51-75 of 172 citing articles:

Improved Reptile Search Optimization Algorithm Using Chaotic Map and Simulated Annealing for Feature Selection in Medical Field
Zenab Elgamal, Aznul Qalid Md Sabri, Mohammad Tubishat, et al.
IEEE Access (2022) Vol. 10, pp. 51428-51446
Open Access | Times Cited: 35

A review of feature selection methods based on meta-heuristic algorithms
Zohre Sadeghian, Ebrahim Akbari, Hossein Nematzadeh, et al.
Journal of Experimental & Theoretical Artificial Intelligence (2023), pp. 1-51
Closed Access | Times Cited: 21

Multi-objective binary grey wolf optimization for feature selection based on guided mutation strategy
Xiaobo Li, Qiyong Fu, Qi Li, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110558-110558
Closed Access | Times Cited: 19

Improved versions of snake optimizer for feature selection in medical diagnosis: a real case COVID-19
Malik Braik, Abdelaziz I. Hammouri, Mohammed A. Awadallah, et al.
Soft Computing (2023) Vol. 27, Iss. 23, pp. 17833-17865
Closed Access | Times Cited: 16

Feature selection based on dynamic crow search algorithm for high-dimensional data classification
He Jiang, Ye Yang, Qiuying Wan, et al.
Expert Systems with Applications (2024) Vol. 250, pp. 123871-123871
Closed Access | Times Cited: 5

Particle swarm optimization algorithm based on comprehensive scoring framework for high-dimensional feature selection
Bo Wei, Shanshan Yang, Wentao Zha, et al.
Swarm and Evolutionary Computation (2025) Vol. 95, pp. 101915-101915
Closed Access

Set based particle swarm optimization for the feature selection problem
Andries P. Engelbrecht, Jacomine Grobler, Joost Langeveld
Engineering Applications of Artificial Intelligence (2019) Vol. 85, pp. 324-336
Closed Access | Times Cited: 44

Feature Selection Using Enhanced Particle Swarm Optimisation for Classification Models
Hailun Xie, Zhang Li, Chee Peng Lim, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1816-1816
Open Access | Times Cited: 37

MFeature: Towards high performance evolutionary tools for feature selection
Yueting Xu, Hui Huang, Ali Asghar Heidari, et al.
Expert Systems with Applications (2021) Vol. 186, pp. 115655-115655
Closed Access | Times Cited: 35

Particle distance rank feature selection by particle swarm optimization
Milad Shafipour, Abdolreza Rashno, Sadegh Fadaei
Expert Systems with Applications (2021) Vol. 185, pp. 115620-115620
Closed Access | Times Cited: 35

A Review on Feature Selection and Ensemble Techniques for Intrusion Detection System
Majid Torabi, Nur Izura Udzir, Mohd Taufik Abdullah, et al.
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 5
Open Access | Times Cited: 32

Collaboration of features optimization techniques for the effective diagnosis of glaucoma in retinal fundus images
Law Kumar Singh, Munish Khanna, Shankar Thawkar, et al.
Advances in Engineering Software (2022) Vol. 173, pp. 103283-103283
Closed Access | Times Cited: 27

Hybrid binary whale with harris hawks for feature selection
Ranya Al-wajih, Said Jadid Abdulkadir, Hitham Al Hussian, et al.
Neural Computing and Applications (2022) Vol. 34, Iss. 21, pp. 19377-19395
Closed Access | Times Cited: 26

Improved Binary Adaptive Wind Driven Optimization Algorithm-Based Dimensionality Reduction for Supervised Classification
Amr A. Abd El-Mageed, Ahmed G. Gad, Karam M. Sallam, et al.
Computers & Industrial Engineering (2022) Vol. 167, pp. 107904-107904
Closed Access | Times Cited: 23

Multi-Participant Federated Feature Selection Algorithm with Particle Swarm Optimizaiton for Imbalanced Data under Privacy Protection
Ying Hu, Zhang Yon, Dunwei Gong, et al.
IEEE Transactions on Artificial Intelligence (2022) Vol. 4, Iss. 5, pp. 1002-1016
Closed Access | Times Cited: 22

Feature Selection with a Binary Flamingo Search Algorithm and a Genetic Algorithm
Rama Krishna Eluri, Nagaraju Devarakonda
Multimedia Tools and Applications (2023) Vol. 82, Iss. 17, pp. 26679-26730
Closed Access | Times Cited: 14

Dimensionality reduction approach based on modified hunger games search: case study on Parkinson’s disease phonation
Fatma A. Hashim, Nabil Neggaz, Reham R. Mostafa, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 29, pp. 21979-22005
Open Access | Times Cited: 14

Binary Restructuring Particle Swarm Optimization and Its Application
Jianguo Zhu, Jianhua Liu, Yuxiang Chen, et al.
Biomimetics (2023) Vol. 8, Iss. 2, pp. 266-266
Open Access | Times Cited: 12

An Optimized Hybrid Approach for Feature Selection Based on Chi-Square and Particle Swarm Optimization Algorithms
Amani Abdo, Rasha F. A. Mostafa, Laila Abdelhamid
Data (2024) Vol. 9, Iss. 2, pp. 20-20
Open Access | Times Cited: 4

Boosting manta rays foraging optimizer by trigonometry operators: a case study on medical dataset
Nabil Neggaz, Imène Neggaz, Mohamed Abd Elaziz, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 16, pp. 9405-9436
Closed Access | Times Cited: 4

A high-dimensional feature selection algorithm via fast dimensionality reduction and multi-objective differential evolution
Xuezhi Yue, Yihang Liao, Hu Peng, et al.
Swarm and Evolutionary Computation (2025) Vol. 94, pp. 101899-101899
Closed Access

Novel chaotic grouping particle swarm optimization with a dynamic regrouping strategy for solving numerical optimization tasks
Ke Chen, Bing Xue, Mengjie Zhang, et al.
Knowledge-Based Systems (2020) Vol. 194, pp. 105568-105568
Closed Access | Times Cited: 35

An evidential reasoning rule based feature selection for improving trauma outcome prediction
Fatima Almaghrabi, Dong‐Ling Xu, Jianbo Yang
Applied Soft Computing (2021) Vol. 103, pp. 107112-107112
Closed Access | Times Cited: 30

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