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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 Feature Selection Method by using Chaotic Cuckoo Search Optimization Algorithm with Elitist Preservation and Uniform Mutation for Data Classification
Le Wang, Yuelin Gao, Jiahang Li, et al.
Discrete Dynamics in Nature and Society (2021) Vol. 2021, pp. 1-19
Open Access | Times Cited: 18

Showing 18 citing articles:

An Efficient Slime Mould Algorithm Combined With K-Nearest Neighbor for Medical Classification Tasks
Yaser M. Wazery, Eman Saber, Essam H. Houssein, et al.
IEEE Access (2021) Vol. 9, pp. 113666-113682
Open Access | Times Cited: 55
NSGA-II-DL: Metaheuristic Optimal Feature Selection With Deep Learning Framework for HER2 Classification in Breast Cancer
Tarik A. Rashid, Jafar Majidpour, Rajermani Thinakaran, et al.
IEEE Access (2024) Vol. 12, pp. 38885-38898
Open Access | Times Cited: 13
Chaotic Binarization Schemes for Solving Combinatorial Optimization Problems Using Continuous Metaheuristics
Felipe Cisternas-Caneo, Broderick Crawford, Ricardo Soto, et al.
Mathematics (2024) Vol. 12, Iss. 2, pp. 262-262
Open Access | Times Cited: 7
A dual opposition-based learning for differential evolution with protective mechanism for engineering optimization problems
Jiahang Li, Yuelin Gao, Kaiguang Wang, et al.
Applied Soft Computing (2021) Vol. 113, pp. 107942-107942
Closed Access | Times Cited: 35
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
MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics
Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, et al.
IEEE Access (2024) Vol. 12, pp. 21840-21867
Open Access | Times Cited: 4
OCRUN: An oppositional Runge Kutta optimizer with cuckoo search for global optimization and feature selection
Meilin Zhang, Huiling Chen, Ali Asghar Heidari, et al.
Applied Soft Computing (2023) Vol. 146, pp. 110664-110664
Closed Access | Times Cited: 11
A novel technique for leaf disease classification using Legion Kernels with parallel support vector machine (LK-PSVM) and fuzzy C means image segmentation
Manikandan Rajagopal, Şafak Kayıkçı, Mohamed Abbas, et al.
Heliyon (2024) Vol. 10, Iss. 12, pp. e32707-e32707
Open Access | Times Cited: 3
An optimization model for just-in-time (JIT) delivery of precast components considering 3D loading constraints, real-time road conditions and assembly time
Wenqi Mao, Kexin Ran, Ting-Kwei Wang, et al.
Engineering Construction & Architectural Management (2024)
Closed Access | Times Cited: 2
Securing healthcare medical image information using advance morphological component analysis, information hiding systems, and hybrid convolutional neural networks on IoMT
Binay Kumar Pandey, D. K. Pandey
Computers in Biology and Medicine (2024) Vol. 185, pp. 109499-109499
Closed Access | Times Cited: 2
Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection
Mohammad Ryiad Al-Eiadeh, Raneem Qaddoura, Mustafa Abdallah
(2024)
Open Access | Times Cited: 2
Tri-staged feature selection in multi-class heterogeneous datasets using memetic algorithm and cuckoo search optimization
R. Devi Priya, R. Sivaraj, N. Anitha, et al.
Expert Systems with Applications (2022) Vol. 209, pp. 118286-118286
Closed Access | Times Cited: 10
Investigating the Performance of a Novel Modified Binary Black Hole Optimization Algorithm for Enhancing Feature Selection
Mohammad Ryiad Al-Eiadeh, Raneem Qaddoura, Mustafa Abdallah
Applied Sciences (2024) Vol. 14, Iss. 12, pp. 5207-5207
Open Access | Times Cited: 1
Empowering African vultures optimizer using Archimedes optimization algorithm for maximum efficiency for global optimization and feature selection
Reham R. Mostafa, Fatma A. Hashim, Noha E. El-Attar, et al.
Evolving Systems (2024) Vol. 15, Iss. 5, pp. 1701-1731
Closed Access | Times Cited: 1
A feature selection model for document classification using Tom and Jerry Optimization algorithm
K Thirumoorthy, J. Jerold John Britto
Multimedia Tools and Applications (2023) Vol. 83, Iss. 4, pp. 10273-10295
Closed Access | Times Cited: 2
An Enhanced Crowned Porcupine Optimization Algorithm Based on Multiple Improvement Strategies
Wenli Lei, Y. T. Gu, Jianyu Huang
Applied Sciences (2024) Vol. 14, Iss. 23, pp. 11414-11414
Open Access
A Review on Bio-inspired Optimization Method for Supervised Feature Selection
Montha Petwan, Ku Ruhana Ku‐Mahamud
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 5
Open Access | Times Cited: 2
A Discrete Moth Flame Algorithm for Feature Selection
Nitesh Sureja, Priya Patel, Mohit Rathod, et al.
International journal of intelligent engineering and systems (2022) Vol. 16, Iss. 1, pp. 235-245
Open Access | Times Cited: 2
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