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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 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

Showing 1-25 of 104 citing articles:

An effective genetic algorithm-based feature selection method for intrusion detection systems
Zahid Halim, Muhammad Nadeem Yousaf, Muhammad Waqas, et al.
Computers & Security (2021) Vol. 110, pp. 102448-102448
Closed Access | Times Cited: 109
Graph-based relevancy-redundancy gene selection method for cancer diagnosis
Saeid Azadifar, Mehrdad Rostami, Kamal Berahmand, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105766-105766
Open Access | Times Cited: 79
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: 74
Feature Selection Using Artificial Gorilla Troop Optimization for Biomedical Data: A Case Analysis with COVID-19 Data
Jayashree Piri, Puspanjali Mohapatra, Biswaranjan Acharya, et al.
Mathematics (2022) Vol. 10, Iss. 15, pp. 2742-2742
Open Access | Times Cited: 71
En-MinWhale: An Ensemble Approach Based on MRMR and Whale Optimization for Cancer Diagnosis
Amrutanshu Panigrahi, Abhilash Pati, Bibhuprasad Sahu, et al.
IEEE Access (2023) Vol. 11, pp. 113526-113542
Open Access | Times Cited: 43
A novel chaotic artificial rabbits algorithm for optimization of constrained engineering problems
Erhan Duzgun, Erdem Acar, Ali Rıza Yıldız
Materials Testing (2024) Vol. 66, Iss. 9, pp. 1449-1462
Closed Access | Times Cited: 15
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
Distance-based mutual congestion feature selection with genetic algorithm for high-dimensional medical datasets
Hossein Nematzadeh, Joseph Mani, Zahra Nematzadeh, et al.
Neural Computing and Applications (2025)
Open Access | Times Cited: 2
Binary plant rhizome growth-based optimization algorithm: an efficient high-dimensional feature selection approach
Jin Zhang, Yan Fu, Jianqiang Yang
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 1
An hybrid particle swarm optimization with crow search algorithm for feature selection
Abdulhameed Adamu, Mohammed Abdullahi, Sahalu B. Junaidu, et al.
Machine Learning with Applications (2021) Vol. 6, pp. 100108-100108
Open Access | Times Cited: 79
Multi-Objective Crystal Structure Algorithm (MOCryStAl): Introduction and Performance Evaluation
Nima Khodadadi, Mahdi Azizi, Siamak Talatahari, et al.
IEEE Access (2021) Vol. 9, pp. 117795-117812
Open Access | Times Cited: 64
VMFS: A VIKOR-based multi-target feature selection
Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi‐pour
Expert Systems with Applications (2021) Vol. 182, pp. 115224-115224
Closed Access | Times Cited: 63
A novel chaotic Runge Kutta optimization algorithm for solving constrained engineering problems
Betül Sultan Yıldız, Pranav Mehta, Natee Panagant, et al.
Journal of Computational Design and Engineering (2022) Vol. 9, Iss. 6, pp. 2452-2465
Open Access | Times Cited: 60
Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection
Reham R. Mostafa, Ahmed A. Ewees, Rania M. Ghoniem, et al.
Knowledge-Based Systems (2022) Vol. 246, pp. 108743-108743
Closed Access | Times Cited: 55
A hybrid method for heart disease diagnosis utilizing feature selection based ensemble classifier model generation
Jafar Abdollahi, Babak Nouri-Moghaddam
Iran Journal of Computer Science (2022) Vol. 5, Iss. 3, pp. 229-246
Open Access | Times Cited: 46
BAOA: Binary Arithmetic Optimization Algorithm With K-Nearest Neighbor Classifier for Feature Selection
Nima Khodadadi, Ehsan Khodadadi, Qasem Al-Tashi, et al.
IEEE Access (2023) Vol. 11, pp. 94094-94115
Open Access | Times Cited: 26
A pareto-based ensemble of feature selection algorithms
Amin Hashemi, Mohammad Bagher Dowlatshahi, Hossein Nezamabadi‐pour
Expert Systems with Applications (2021) Vol. 180, pp. 115130-115130
Closed Access | Times Cited: 42
Multiobjective Atomic Orbital Search (MOAOS) for Global and Engineering Design Optimization
Mahdi Azizi, Siamak Talatahari, Nima Khodadadi, et al.
IEEE Access (2022) Vol. 10, pp. 67727-67746
Open Access | Times Cited: 27
Binary arithmetic optimization algorithm for feature selection
Min Xu, Qixian Song, Mingyang Xi, et al.
Soft Computing (2023) Vol. 27, Iss. 16, pp. 11395-11429
Open Access | Times Cited: 16
Regret theory-based multivariate fusion prediction system and its application to interest rate estimation in multi-scale information systems
Xianfeng Huang, Jianming Zhan, Weiping Ding, et al.
Information Fusion (2023) Vol. 99, pp. 101860-101860
Closed Access | Times Cited: 16
A newly developed multi-objective evolutionary paradigm for predicting suspended sediment load
Siyamak Doroudi, Ahmad Sharafati
Journal of Hydrology (2024) Vol. 634, pp. 131090-131090
Closed Access | Times Cited: 6
Multi-Objective Optimization of Traditional Feature Selection Methods
Harsh Mehta, Ramchandra Mangrulkar
Advances in computational intelligence and robotics book series (2025), pp. 125-158
Closed Access
Multi-strategy fusion binary SHO guided by Pearson correlation coefficient for feature selection with cancer gene expression data
Yucai Wang, Hao-Ming Song, Jie-Sheng Wang, et al.
Egyptian Informatics Journal (2025) Vol. 29, pp. 100639-100639
Open Access
Mining social media text for disaster resource management using a feature selection based on forest optimization
Ashutosh Bhoi, Rakesh Chandra Balabantaray, Deepak Sahoo, et al.
Computers & Industrial Engineering (2022) Vol. 169, pp. 108280-108280
Closed Access | Times Cited: 24
A binary chaotic horse herd optimization algorithm for feature selection
Esin Ayşe Zaimoğlu, Nilüfer Yurtay, Hüseyin Demirci, et al.
Engineering Science and Technology an International Journal (2023) Vol. 44, pp. 101453-101453
Open Access | Times Cited: 15
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