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 Using Convolutional Neural Networks
Kang Fu, Dawei Cheng, Yi Tu, et al.
Lecture notes in computer science (2016), pp. 483-490
Closed Access | Times Cited: 251

Showing 1-25 of 251 citing articles:

Deep Learning for Anomaly Detection: A Survey
Raghavendra Chalapathy, Sanjay Chawla
arXiv (Cornell University) (2019)
Open Access | Times Cited: 1178

Deep learning for cyber security intrusion detection: Approaches, datasets, and comparative study
Mohamed Amine Ferrag, Λέανδρος Μαγλαράς, Sotiris Moschoyiannis, et al.
Journal of Information Security and Applications (2019) Vol. 50, pp. 102419-102419
Open Access | Times Cited: 740

A Systematic Review on Imbalanced Data Challenges in Machine Learning
Harsurinder Kaur, Husanbir Singh Pannu, Avleen Malhi
ACM Computing Surveys (2019) Vol. 52, Iss. 4, pp. 1-36
Closed Access | Times Cited: 361

Combining unsupervised and supervised learning in credit card fraud detection
Fabrizio Carcillo, Yann‐Aël Le Borgne, Olivier Caelen, et al.
Information Sciences (2019) Vol. 557, pp. 317-331
Open Access | Times Cited: 317

Financial Fraud: A Review of Anomaly Detection Techniques and Recent Advances
Waleed Hilal, S. Andrew Gadsden, John Yawney
Expert Systems with Applications (2021) Vol. 193, pp. 116429-116429
Open Access | Times Cited: 260

HOBA: A novel feature engineering methodology for credit card fraud detection with a deep learning architecture
Xinwei Zhang, Yaoci Han, Wei Xu, et al.
Information Sciences (2019) Vol. 557, pp. 302-316
Closed Access | Times Cited: 214

How Artificial Intelligence and machine learning research impacts payment card fraud detection: A survey and industry benchmark
Nick Ryman‐Tubb, Paul Krause, Wolfgang Garn
Engineering Applications of Artificial Intelligence (2018) Vol. 76, pp. 130-157
Closed Access | Times Cited: 179

Ensemble of deep sequential models for credit card fraud detection
Javad Forough, Saeedeh Momtazi
Applied Soft Computing (2020) Vol. 99, pp. 106883-106883
Closed Access | Times Cited: 140

Intelligent financial fraud detection practices in post-pandemic era
Xiaoqian Zhu, Xiang Ao, Zidi Qin, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100176-100176
Open Access | Times Cited: 120

Credit card fraud detection in the era of disruptive technologies: A systematic review
Asma Cherif, Arwa Badhib, Heyfa Ammar, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 35, Iss. 1, pp. 145-174
Open Access | Times Cited: 85

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: 22

Hybrid Neural Network Methods for the Detection of Credit Card Fraud
Mahmoud Ahmad Al‐Khasawneh, Muhammad Faheem, Deema Mohammed Alsekait, et al.
Security and Privacy (2025) Vol. 8, Iss. 1
Closed Access | Times Cited: 3

A Model Based on Convolutional Neural Network for Online Transaction Fraud Detection
Zhaohui Zhang, Xinxin Zhou, Xiaobo Zhang, et al.
Security and Communication Networks (2018) Vol. 2018, pp. 1-9
Open Access | Times Cited: 114

Generative adversarial network based telecom fraud detection at the receiving bank
Yu‐Jun Zheng, Xiaohan Zhou, Weiguo Sheng, et al.
Neural Networks (2018) Vol. 102, pp. 78-86
Closed Access | Times Cited: 109

A customized classification algorithm for credit card fraud detection
Alex G. C. de Sá, Adriano C. M. Pereira, Gisele L. Pappa
Engineering Applications of Artificial Intelligence (2018) Vol. 72, pp. 21-29
Closed Access | Times Cited: 109

Graph Neural Network for Fraud Detection via Spatial-Temporal Attention
Dawei Cheng, Xiaoyang Wang, Ying Zhang, et al.
IEEE Transactions on Knowledge and Data Engineering (2020) Vol. 34, Iss. 8, pp. 3800-3813
Closed Access | Times Cited: 108

White-box fairness testing through adversarial sampling
Peixin Zhang, Jingyi Wang, Jun Sun, et al.
(2020)
Open Access | Times Cited: 104

Machine Learning for Financial Risk Management: A Survey
Akib Mashrur, Wei Luo, Nayyar A. Zaidi, et al.
IEEE Access (2020) Vol. 8, pp. 203203-203223
Open Access | Times Cited: 100

Deep Representation Learning With Full Center Loss for Credit Card Fraud Detection
Zhenchuan Li, Guanjun Liu, Changjun Jiang
IEEE Transactions on Computational Social Systems (2020) Vol. 7, Iss. 2, pp. 569-579
Closed Access | Times Cited: 97

Credit Card Fraud Detection Using Fuzzy Rough Nearest Neighbor and Sequential Minimal Optimization with Logistic Regression
Ameer Hussein, Rihab Salah Khairy, Shaima Miqdad Mohamed Najeeb, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2021) Vol. 15, Iss. 05, pp. 24-24
Open Access | Times Cited: 91

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

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection
Dawei Cheng, Sheng Xiang, Chencheng Shang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2020) Vol. 34, Iss. 01, pp. 362-369
Open Access | Times Cited: 81

An Autoencoder Based Model for Detecting Fraudulent Credit Card Transaction
Sumit Misra, Soumyadeep Thakur, Manosij Ghosh, et al.
Procedia Computer Science (2020) Vol. 167, pp. 254-262
Open Access | Times Cited: 76

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

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

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