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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:

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: 24

Showing 24 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: 35
Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido
(2024)
Open Access | Times Cited: 23
Machine Learning and Deep Learning Paradigms: From Techniques to Practical Applications and Research Frontiers
Kamran Razzaq, Mahmood Shah
Computers (2025) Vol. 14, Iss. 3, pp. 93-93
Open Access | Times Cited: 2
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 | Times Cited: 2
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: 10
Deep BiLSTM Attention Model for Spatial and Temporal Anomaly Detection in Video Surveillance
Sarfaraz Natha, Fareed Ahmed, Mohammad Siraj, et al.
Sensors (2025) Vol. 25, Iss. 1, pp. 251-251
Open Access | Times Cited: 1
Achieving Excellence in Cyber Fraud Detection: A Hybrid ML+DL Ensemble Approach for Credit Cards
Eyad Btoush, Xujuan Zhou, Raj Gururajan, et al.
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1081-1081
Open Access | Times Cited: 1
RNA structure prediction using deep learning — A comprehensive review
Mayank Chaturvedi, Mahmood A. Rashid, Kuldip K. Paliwal
Computers in Biology and Medicine (2025) Vol. 188, pp. 109845-109845
Open Access | Times Cited: 1
A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Theo G. Swart
Technologies (2024) Vol. 12, Iss. 10, pp. 186-186
Open Access | Times Cited: 7
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: 5
A survey of explainable artificial intelligence in healthcare: Concepts, applications, and challenges
Ibomoiye Domor Mienye, George Obaido, Nobert Jere, et al.
Informatics in Medicine Unlocked (2024), pp. 101587-101587
Open Access | Times Cited: 4
Artificial intelligence and sustainable development in Africa: A comprehensive review
Ibomoiye Domor Mienye, Yanxia Sun, Emmanuel Ileberi
Machine Learning with Applications (2024), pp. 100591-100591
Open Access | Times Cited: 4
BankNet: Real-Time Big Data Analytics for Secure Internet Banking
Kaushik Sathupadi, Sandesh Achar, Shyam Bhaskaran, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 2, pp. 24-24
Open Access
Quantifying the Fiscal Ramifications of Big Data Integration in Service Organisations
Arjun J. Nair, Abishek B. Rao
IGI Global eBooks (2025), pp. 239-258
Closed Access
Machine Learning for Fraud Detection and Financial Crimes
Manthan S. Manavadaria, Rohit Sharma, Anuradha Parasar, et al.
IGI Global eBooks (2025), pp. 183-206
Closed Access
Concept Drift Detection Based on Deep Neural Networks and Autoencoders
Lisha Hu, Y. P. Lu, Yuehua Feng
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3056-3056
Open Access
FraudX AI: An Interpretable Machine Learning Framework for Credit Card Fraud Detection on Imbalanced Datasets
Nazerke Baisholan, J. Eric Dietz, Sergiy Gnatyuk, et al.
Computers (2025) Vol. 14, Iss. 4, pp. 120-120
Open Access
Leveraging evolutionary algorithms with a dynamic weighted search space approach for fraud detection in healthcare insurance claims
Mohammad Tubishat, Dina Tbaishat, Ala’ M. Al-Zoubi, et al.
Knowledge-Based Systems (2025), pp. 113436-113436
Closed Access
A method utilizing deep learning and reinforcement learning for credit card fraud detection
Md. Nur-E-Arefin, Sri Devi Ravana, Riyaz Ahamed Ariyaluran Habeeb
Intelligent Decision Technologies (2025)
Closed Access
Big Data-Driven Distributed Machine Learning for Scalable Credit Card Fraud Detection Using PySpark, XGBoost, and CatBoost
Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Anastasios Tsimakis, et al.
Electronics (2025) Vol. 14, Iss. 9, pp. 1754-1754
Open Access
Effective Credit Risk Prediction Using Ensemble Classifiers With Model Explanation
Idowu Aruleba, Yanxia Sun
IEEE Access (2024) Vol. 12, pp. 115015-115025
Open Access | Times Cited: 2
Deep Learning in Finance: A Survey of Applications and Techniques
Ebikella Mienye, Nobert Jere, George Obaido, et al.
(2024)
Open Access | Times Cited: 2
Innovation in Financial Enterprise Risk Prediction Model
Jing Jin, Zhang Yong-qing
Journal of Organizational and End User Computing (2024) Vol. 36, Iss. 1, pp. 1-26
Open Access | Times Cited: 1
Robust Credit Card Fraud Detection Based on Efficient Kolmogorov-Arnold Network Models
Thi-Thu-Huong Le, Yeonsang Hwang, Hyoeun Kang, et al.
IEEE Access (2024) Vol. 12, pp. 157006-157020
Open Access
Credit Card Fraud Detection Using NeuroStack Network and Risk-Based Personalized recommendation with CreditRecHub
Abdullah M. Al‐Enizi
Research Square (Research Square) (2024)
Open Access
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