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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:

Credit Card Fraud Detection: A Realistic Modeling and a Novel Learning Strategy
Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen, et al.
IEEE Transactions on Neural Networks and Learning Systems (2017) Vol. 29, Iss. 8, pp. 3784-3797
Open Access | Times Cited: 447

Showing 26-50 of 447 citing articles:

Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection
Sangeeta Mittal, Shivani Tyagi
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2019), pp. 320-324
Closed Access | Times Cited: 86
An intelligent payment card fraud detection system
Manjeevan Seera, Chee Peng Lim, Ajay Kumar, et al.
Annals of Operations Research (2021) Vol. 334, Iss. 1-3, pp. 445-467
Open Access | Times Cited: 86
An Enhanced Secure Deep Learning Algorithm for Fraud Detection in Wireless Communication
Sumaya Sanober, Izhar Alam, Sagar Dhanraj Pande, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 82
Credit Card Fraud Detection Model Based on LSTM Recurrent Neural Networks
Ibtissam Benchaji, Samira Douzi, Bouabid El Ouahidi
Journal of Advances in Information Technology (2021) Vol. 12, Iss. 2, pp. 113-118
Open Access | Times Cited: 79
Federated Meta-Learning for Fraudulent Credit Card Detection
Wenbo Zheng, Lan Yan, Chao Gou, et al.
(2020), pp. 4654-4660
Open Access | Times Cited: 75
Incremental Weighted Ensemble Broad Learning System for Imbalanced Data
Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, et al.
IEEE Transactions on Knowledge and Data Engineering (2021) Vol. 34, Iss. 12, pp. 5809-5824
Closed Access | Times Cited: 70
CATCHM: A novel network-based credit card fraud detection method using node representation learning
Rafaël Van Belle, Bart Baesens, Jochen De Weerdt
Decision Support Systems (2022) Vol. 164, pp. 113866-113866
Open Access | Times Cited: 66
Financial Fraud Detection in Healthcare Using Machine Learning and Deep Learning Techniques
Abolfazl Mehbodniya, Izhar Alam, Sagar Dhanraj Pande, et al.
Security and Communication Networks (2021) Vol. 2021, pp. 1-8
Open Access | Times Cited: 65
Autonomous credit card fraud detection using machine learning approach☆
J. Femila Roseline, G. Chellan Naidu, V. Samuthira Pandi, et al.
Computers & Electrical Engineering (2022) Vol. 102, pp. 108132-108132
Closed Access | Times Cited: 64
Follow the Trail: Machine Learning for Fraud Detection in Fintech Applications
Branka Stojanović, Josip Božić, Katharina Hofer-Schmitz, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1594-1594
Open Access | Times Cited: 63
Time-Aware Attention-Based Gated Network for Credit Card Fraud Detection by Extracting Transactional Behaviors
Yu Xie, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 3, pp. 1004-1016
Closed Access | Times Cited: 59
Digital payment fraud detection methods in digital ages and Industry 4.0
Victor Chang, Le Minh Thao Doan, Alessandro Di Stefano, et al.
Computers & Electrical Engineering (2022) Vol. 100, pp. 107734-107734
Open Access | Times Cited: 49
Learning Transactional Behavioral Representations for Credit Card Fraud Detection
Yu Xie, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Neural Networks and Learning Systems (2022) Vol. 35, Iss. 4, pp. 5735-5748
Open Access | Times Cited: 47
Fraud detection and prevention in e-commerce: A systematic literature review
Vinicius Facco Rodrigues, Lucas Micol Policarpo, Diórgenes Eugênio da Silveira, et al.
Electronic Commerce Research and Applications (2022) Vol. 56, pp. 101207-101207
Closed Access | Times Cited: 43
Federated Feature Selection for Horizontal Federated Learning in IoT Networks
Xunzheng Zhang, Alex Mavromatis, Antonis Vafeas, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 11, pp. 10095-10112
Closed Access | Times Cited: 36
Uncertainty-aware credit card fraud detection using deep learning
Maryam Habibpour, Hassan Gharoun, Mohammadreza Mehdipour, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106248-106248
Open Access | Times Cited: 29
Fraud Feature Boosting Mechanism and Spiral Oversampling Balancing Technique for Credit Card Fraud Detection
Lina Ni, Jufeng Li, Huixin Xu, et al.
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 1615-1630
Closed Access | Times Cited: 29
Safeguarding FinTech innovations with machine learning: Comparative assessment of various approaches
Nawazish Mirza, Mohamed Elhoseny, Muhammad Umar, et al.
Research in International Business and Finance (2023) Vol. 66, pp. 102009-102009
Closed Access | Times Cited: 25
Smart credit card fraud detection system based on dilated convolutional neural network with sampling technique
J. Karthika, A. Senthilselvi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 20, pp. 31691-31708
Closed Access | Times Cited: 23
An online fuzzy fraud detection framework for credit card transactions
Georgios Charizanos, Haydar Demirhan, Duygu İçen
Expert Systems with Applications (2024) Vol. 252, pp. 124127-124127
Open Access | Times Cited: 10
Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning
Chiao-Ting Chen, Chi Lee, Szu-Hao Huang, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 2, pp. 1-29
Closed Access | Times Cited: 8
Deep-Learning Domain Adaptation Techniques for Credit Cards Fraud Detection
Bertrand Lebichot, Yann‐Aël Le Borgne, Liyun He-Guelton, et al.
Proceedings of the international neural networks society (2019), pp. 78-88
Closed Access | Times Cited: 74
Class Imbalance Evolution and Verification Latency in Just-in-Time Software Defect Prediction
George G. Cabral, Leandro L. Minku, Emad Shihab, et al.
(2019), pp. 666-676
Open Access | Times Cited: 72
Value-added tax fraud detection with scalable anomaly detection techniques
Jellis Vanhoeyveld, David Martens, Bruno Peeters
Applied Soft Computing (2019) Vol. 86, pp. 105895-105895
Closed Access | Times Cited: 70
Fraud Detection in Credit Card Data using Unsupervised Machine Learning Based Scheme
Arun Kumar, Rajendra Kumar Dwivedi
2020 International Conference on Electronics and Sustainable Communication Systems (ICESC) (2020), pp. 421-426
Closed Access | Times Cited: 50

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