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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 Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2023) Vol. 11, pp. 30628-30638
Open Access | Times Cited: 67

Showing 1-25 of 67 citing articles:

Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido
Information (2024) Vol. 15, Iss. 9, pp. 517-517
Open Access | Times Cited: 22
Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido
(2024)
Open Access | Times Cited: 21
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
Ibomoiye Domor Mienye, Nobert Jere
IEEE Access (2024) Vol. 12, pp. 96893-96910
Open Access | Times Cited: 20
Supervised machine learning in drug discovery and development: Algorithms, applications, challenges, and prospects
George Obaido, Ibomoiye Domor Mienye, Oluwaseun Francis Egbelowo, et al.
Machine Learning with Applications (2024) Vol. 17, pp. 100576-100576
Open Access | Times Cited: 15
A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7254-7254
Open Access | Times Cited: 23
An Improved Ensemble Method for Predicting Hyperchloremia in Adults With Diabetic Ketoacidosis
George Obaido, Blessing Ogbuokiri, C. W. Chukwu, et al.
IEEE Access (2024) Vol. 12, pp. 9536-9549
Open Access | Times Cited: 10
Imbalanced rock burst assessment using variational autoencoder-enhanced gradient boosting algorithms and explainability
Shan Lin, Zenglong Liang, Miao Dong, et al.
Underground Space (2024) Vol. 17, pp. 226-245
Open Access | Times Cited: 6
Enhancing Medicare Fraud Detection Through Machine Learning: Addressing Class Imbalance With SMOTE-ENN
Rayene Bounab, Karim Zarour, Bouchra Guelib, et al.
IEEE Access (2024) Vol. 12, pp. 54382-54396
Open Access | Times Cited: 5
A Comprehensive Review of Deep Learning: Architectures, Recent Advances, and Applications
Ibomoiye Domor Mienye, Theo G. Swart
Information (2024) Vol. 15, Iss. 12, pp. 755-755
Open Access | Times Cited: 5
Toward Efficient Credit Card Fraud Detection: Leveraging Quantum Neural Networks and Modified Feature Selection Techniques
N. Deepa, R. Jayaraj, M Suguna, et al.
Journal of Machine and Computing (2025), pp. 321-330
Closed Access
Example dependent cost sensitive learning based selective deep ensemble model for customer credit scoring
Jin Xiao, Sihan Li, Yuhang Tian, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
PSO-ACO based ANN Approach for Credit Card Fraud Detection
Shuchita Sheokand, Sunita Beniwal
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access
A Sophisticated Iterative Weighted Feature Selection (IWFS) Based Spiking Imperialist Competitive Recurrent Neural Network (SICRNN) Classification Model for Credit Card Fraud Detection
S. Sobana, V. Diana Earshia, R. Suganthi, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2025)
Closed Access
Optimizing Hyperparameters for Credit Card Fraud Detection with Nature-Inspired Metaheuristic Algorithms in Machine Learning
Shiva Shankar Reddy, K. Amrutha, V Mnssvkr Gupta, et al.
Journal of The Institution of Engineers (India) Series B (2025)
Closed Access
Generative Modeling for Imbalanced Credit Card Fraud Transaction Detection
Mohammed Tayebi, Said El Kafhali
Journal of Cybersecurity and Privacy (2025) Vol. 5, Iss. 1, pp. 9-9
Open Access
Ensemble Synthesized Minority Oversampling-Based Generative Adversarial Networks and Random Forest Algorithm for Credit Card Fraud Detection
Fuad A. Ghaleb, Faisal Saeed, Mohammed Al-Sarem, et al.
IEEE Access (2023) Vol. 11, pp. 89694-89710
Open Access | Times Cited: 15
Detecting Frauds and Payment Defaults on Credit Card Data Inherited With Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review
Suraya Nurain Kalid, Kok–Chin Khor, Keng-Hoong Ng, et al.
IEEE Access (2024) Vol. 12, pp. 23636-23652
Open Access | Times Cited: 4
Deep Learning in Finance: A Survey of Applications and Techniques
Ebikella Mienye, Nobert Jere, George Obaido, et al.
AI (2024) Vol. 5, Iss. 4, pp. 2066-2091
Open Access | Times Cited: 4
An Intelligent System for Plant Disease Diagnosis and Analysis Based on Deep Learning and Augmented Reality
Senthil G. A, R. Prabha, J. Nithyashri, et al.
Algorithms for intelligent systems (2024), pp. 341-360
Closed Access | Times Cited: 3
A Comprehensive Machine Learning Framework for Anomaly Detection in Credit Card Transactions
Fathe Jeribi
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 2
Exploring Resampling Techniques in Credit Card Default Prediction
Mark Lokanan
Research Square (Research Square) (2024)
Open Access | Times Cited: 2
Anomaly Detection Classifiers for Detecting Credit Card Fraudulent Transactions
Prerna Singh, Khyati Singla, Prince Piyush, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 2
Advancing Credit Card Fraud Detection Through Explainable Machine Learning Methods
Vikas Ramesh Adhegaonkar, Abhijeet Thakur, Nikhil Varghese
(2024), pp. 792-796
Closed Access | Times Cited: 2
Wave Hedges distance-based feature fusion and hybrid optimization-enabled deep learning for cyber credit card fraud detection
Venkata Ratnam Ganji, Aparna Chaparala
Knowledge and Information Systems (2024) Vol. 66, Iss. 11, pp. 7005-7030
Closed Access | Times Cited: 2
Comparative study of deep learning explainability and causal ai for fraud detection
Erum Parkar, Shilpa Gite, Sashikala Mishra, et al.
International Journal on Smart Sensing and Intelligent Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 2
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