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 New Hybrid Algorithm Based on Grey Wolf Optimization and Crow Search Algorithm for Unconstrained Function Optimization and Feature Selection
Sankalap Arora, Harpreet Singh, Manik Sharma, et al.
IEEE Access (2019) Vol. 7, pp. 26343-26361
Open Access | Times Cited: 223

Showing 1-25 of 223 citing articles:

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: 443

Boosted binary Harris hawks optimizer and feature selection
Yanan Zhang, Renjing Liu, Xin Wang, et al.
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3741-3770
Closed Access | Times Cited: 295

A comprehensive review on optimization of hybrid renewable energy systems using various optimization techniques
M. Thirunavukkarasu, Yashwant Sawle, Himadri Lala
Renewable and Sustainable Energy Reviews (2023) Vol. 176, pp. 113192-113192
Closed Access | Times Cited: 293

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: 291

A Comprehensive Analysis of Nature-Inspired Meta-Heuristic Techniques for Feature Selection Problem
Manik Sharma, Prableen Kaur
Archives of Computational Methods in Engineering (2020) Vol. 28, Iss. 3, pp. 1103-1127
Closed Access | Times Cited: 238

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: 232

Dynamic Salp swarm algorithm for feature selection
Mohammad Tubishat, Salinah Ja’afar, Mohammed Alswaitti, et al.
Expert Systems with Applications (2020) Vol. 164, pp. 113873-113873
Closed Access | Times Cited: 191

Crow Search Algorithm: Theory, Recent Advances, and Applications
Abdelazim G. Hussien, Mohammed A. Amin, Mingjing Wang, et al.
IEEE Access (2020) Vol. 8, pp. 173548-173565
Open Access | Times Cited: 182

A hybrid Harris Hawks optimization algorithm with simulated annealing for feature selection
Mohamed Abdel‐Basset, Weiping Ding, Syed Bilal Hussain Shah
Artificial Intelligence Review (2020) Vol. 54, Iss. 1, pp. 593-637
Closed Access | Times Cited: 172

An efficient hybrid sine-cosine Harris hawks optimization for low and high-dimensional feature selection
Kashif Hussain, Nabil Neggaz, William Zhu, et al.
Expert Systems with Applications (2021) Vol. 176, pp. 114778-114778
Closed Access | Times Cited: 161

Opposition-based learning grey wolf optimizer for global optimization
Xiaobing Yu, WangYing Xu, Chenliang Li
Knowledge-Based Systems (2021) Vol. 226, pp. 107139-107139
Closed Access | Times Cited: 128

GGWO: Gaze cues learning-based grey wolf optimizer and its applications for solving engineering problems
Mohammad H. Nadimi-Shahraki, Shokooh Taghian, Seyedali Mirjalili, et al.
Journal of Computational Science (2022) Vol. 61, pp. 101636-101636
Closed Access | Times Cited: 105

Novel Meta-Heuristic Algorithm for Feature Selection, Unconstrained Functions and Engineering Problems
El-Sayed M. El-kenawy, Seyedali Mirjalili, Fawaz Alassery, et al.
IEEE Access (2022) Vol. 10, pp. 40536-40555
Open Access | Times Cited: 86

Advances in nature-inspired metaheuristic optimization for feature selection problem: A comprehensive survey
Maha Nssibi, Ghaith Manita, Ouajdi Korbaa
Computer Science Review (2023) Vol. 49, pp. 100559-100559
Closed Access | Times Cited: 79

An improved gorilla troops optimizer for global optimization problems and feature selection
Reham R. Mostafa, Marwa A. Gaheen, Mohamed Abd Elaziz, et al.
Knowledge-Based Systems (2023) Vol. 269, pp. 110462-110462
Closed Access | Times Cited: 57

Metaheuristic Algorithms for Optimization: A Brief Review
Vinita Tomar, Mamta Bansal, Pooja Singh
(2024), pp. 238-238
Open Access | Times Cited: 27

Hybrid renewable multi-generation system optimization: Attaining sustainable development goals
Md. Shahriar Mohtasim, Barun K. Das, Utpol K. Paul, et al.
Renewable and Sustainable Energy Reviews (2025) Vol. 212, pp. 115415-115415
Open Access | Times Cited: 2

MbGWO-SFS: Modified Binary Grey Wolf Optimizer Based on Stochastic Fractal Search for Feature Selection
El-Sayed M. El-kenawy, Marwa M. Eid, Mohamed Saber, et al.
IEEE Access (2020) Vol. 8, pp. 107635-107649
Open Access | Times Cited: 129

Optimal GWCSO-based home appliances scheduling for demand response considering end-users comfort
Muhammad Waseem, Zhenzhi Lin, Shengyuan Liu, et al.
Electric Power Systems Research (2020) Vol. 187, pp. 106477-106477
Closed Access | Times Cited: 122

A Random Opposition-Based Learning Grey Wolf Optimizer
Wen Long, Jianjun Jiao, Ximing Liang, et al.
IEEE Access (2019) Vol. 7, pp. 113810-113825
Open Access | Times Cited: 118

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: 107

Diagnosis of Human Psychological Disorders using Supervised Learning and Nature-Inspired Computing Techniques: A Meta-Analysis
Prableen Kaur, Manik Sharma
Journal of Medical Systems (2019) Vol. 43, Iss. 7
Closed Access | Times Cited: 104

A new hybrid chaotic atom search optimization based on tree-seed algorithm and Levy flight for solving optimization problems
Saeid Barshandeh, Maryam Haghzadeh
Engineering With Computers (2020) Vol. 37, Iss. 4, pp. 3079-3122
Closed Access | Times Cited: 104

A novel multi-objective forest optimization algorithm for wrapper feature selection
Babak Nouri-Moghaddam, Mehdi Ghazanfari, Mohammad Fathian
Expert Systems with Applications (2021) Vol. 175, pp. 114737-114737
Closed Access | Times Cited: 104

Dynamic Butterfly Optimization Algorithm for Feature Selection
Mohammad Tubishat, Mohammed Alswaitti, Seyedali Mirjalili, et al.
IEEE Access (2020) Vol. 8, pp. 194303-194314
Open Access | Times Cited: 102

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