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 Fuzzy Classifier with Feature Selection Based on the Gravitational Search Algorithm
Marina Bardamova, Антон Конев, I. A. Hodashinsky, et al.
Symmetry (2018) Vol. 10, Iss. 11, pp. 609-609
Open Access | Times Cited: 26

Showing 1-25 of 26 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: 430

Centroid mutation-based Search and Rescue optimization algorithm for feature selection and classification
Essam H. Houssein, Eman Saber, Abdelmgeid A. Ali, et al.
Expert Systems with Applications (2021) Vol. 191, pp. 116235-116235
Closed Access | Times Cited: 50

Continuous Metaheuristics for Binary Optimization Problems: An Updated Systematic Literature Review
Marcelo Becerra, José Lemus-Romani, Felipe Cisternas-Caneo, et al.
Mathematics (2022) Vol. 11, Iss. 1, pp. 129-129
Open Access | Times Cited: 20

A Comprehensive Survey of Recent Hybrid Feature Selection Methods in Cancer Microarray Gene Expression Data
Halah AlMazrua, Hala Alshamlan
IEEE Access (2022) Vol. 10, pp. 71427-71449
Open Access | Times Cited: 19

A Deep Convolutional Neural Network-Based Multi-Class Image Classification for Automatic Wafer Map Failure Recognition in Semiconductor Manufacturing
Huilin Zheng, Syed Waseem Abbas Sherazi, Sang Hyeok Son, et al.
Applied Sciences (2021) Vol. 11, Iss. 20, pp. 9769-9769
Open Access | Times Cited: 25

Building a Fuzzy Classifier Based on Whale Optimization Algorithm to Detect Network Intrusions
Nikolay Koryshev, I. A. Hodashinsky, Alexander Shelupanov
Symmetry (2021) Vol. 13, Iss. 7, pp. 1211-1211
Open Access | Times Cited: 14

Evolving multi-user fuzzy classifier system with advanced explainability and interpretability aspects
Edwin Lughofer, Mahardhika Pratama
Information Fusion (2022) Vol. 91, pp. 458-476
Open Access | Times Cited: 10

Feature Selection Based on Swallow Swarm Optimization for Fuzzy Classification
I. A. Hodashinsky, Konstantin Sarin, Alexander Shelupanov, et al.
Symmetry (2019) Vol. 11, Iss. 11, pp. 1423-1423
Open Access | Times Cited: 17

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

Global Image Thresholding Adaptive Neuro-Fuzzy Inference System Trained with Fuzzy Inclusion and Entropy Measures
Athanasios C. Bogiatzis, Basil Papadopoulos
Symmetry (2019) Vol. 11, Iss. 2, pp. 286-286
Open Access | Times Cited: 12

A Comprehensive Survey on Solving Clustering and Classification Problems Using Gravitational Search Algorithm
Sajad Ahmad Rather, Mohammad Shahid, P. Shanthi Bala
(2019), pp. 13-18
Closed Access | Times Cited: 7

Feature selection for fuzzy classifier using the spider monkey algorithm
I. A. Hodashinsky, М М Немирович-Данченко, Sergey Samsonov
Business Informatics (2019) Vol. 13, Iss. 2, pp. 29-42
Open Access | Times Cited: 6

Application of the Gravitational Search Algorithm for Constructing Fuzzy Classifiers of Imbalanced Data
Marina Bardamova, I. A. Hodashinsky, Антон Конев, et al.
Symmetry (2019) Vol. 11, Iss. 12, pp. 1458-1458
Open Access | Times Cited: 6

Binarization of the Swallow Swarm Optimization for Feature Selection
Артем Слезкин, I. A. Hodashinsky, Alexander Shelupanov
Programming and Computer Software (2021) Vol. 47, Iss. 5, pp. 374-388
Closed Access | Times Cited: 6

Formation of Fuzzy Classifier Structure by a Combination of the Class Extremum Algorithm and the Shuffled Frog Leaping Algorithm for Imbalanced Data with Two Classes
Marina Bardamova, I. A. Hodashinsky
Optoelectronics Instrumentation and Data Processing (2021) Vol. 57, Iss. 4, pp. 378-387
Closed Access | Times Cited: 5

SuBIS: Submodular Subset Selection with Importance Sampling for Data-Efficient Machine Learning
Paul Trust, Haseeb Younis, Rosane Minghim
Research Square (Research Square) (2024)
Open Access

Population Generation Methods for Metaheuristic Algorithms Used to Construct Compact Fuzzy Classifiers of Medical Data
Marina Bardamova, Mikhail Svetlakov, Konstantin Sarin, et al.
Pattern Recognition and Image Analysis (2024) Vol. 34, Iss. 3, pp. 396-411
Closed Access

True Power Loss Reduction by Chemical Reaction Optimization Algorithm
Lenin Kanagasabai
European Journal of Electrical Engineering (2019) Vol. 21, Iss. 2, pp. 189-192
Open Access | Times Cited: 2

Gravitational Search For Designing A Fuzzy Rule-Based Classifiers For Handwritten Signature Verification
Marina Bardamova, Антон Конев, I. A. Hodashinsky, et al.
Journal of Communications Software and Systems (2019) Vol. 15, Iss. 3
Open Access | Times Cited: 2

subGE: Enhancing the subgraph representation of molecular compounds structure–activity relationship discovery
Xiaoyu Chen, Quan Qian
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105727-105727
Closed Access | Times Cited: 1

Hybrid Algorithm for Tuning Feature Weights in a Fuzzy Classifier
Marina Bardamova, I. A. Hodashinsky
2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT) (2021)
Closed Access | Times Cited: 1

Fuzzy Classifiers for Diagnosing of Parkinson’s Disease Based on Static Handwritten Data
I. A. Hodashinsky, Yu. A. Shurygin, Konstantin Sarin, et al.
Optoelectronics Instrumentation and Data Processing (2023) Vol. 59, Iss. 3, pp. 346-357
Closed Access



Business Informatics (2019) Vol. 13, Iss. 2
Open Access

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