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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:

Feature engineering strategies for credit card fraud detection
Alejandro Correa Bahnsen, Djamila Aouada, Aleksandar Stojanović, et al.
Expert Systems with Applications (2016) Vol. 51, pp. 134-142
Closed Access | Times Cited: 326

Showing 1-25 of 326 citing articles:

Sequence classification for credit-card fraud detection
Johannes Jurgovsky, Michael Granitzer, Konstantin Ziegler, et al.
Expert Systems with Applications (2018) Vol. 100, pp. 234-245
Closed Access | Times Cited: 332
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
An Intelligent Approach to Credit Card Fraud Detection Using an Optimized Light Gradient Boosting Machine
Altyeb Taha, Sharaf J. Malebary
IEEE Access (2020) Vol. 8, pp. 25579-25587
Open Access | Times Cited: 297
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
Deep learning detecting fraud in credit card transactions
Abhimanyu Roy, Jingyi Sun, Robert Mahoney, et al.
(2018), pp. 129-134
Closed Access | Times Cited: 248
Integrating Machine Learning with Human Knowledge
Changyu Deng, Xunbi A. Ji, Colton Rainey, et al.
iScience (2020) Vol. 23, Iss. 11, pp. 101656-101656
Open Access | Times Cited: 195
Enhanced credit card fraud detection based on SVM-recursive feature elimination and hyper-parameters optimization
Naoufal Rtayli, Nourddine Enneya
Journal of Information Security and Applications (2020) Vol. 55, pp. 102596-102596
Closed Access | Times Cited: 160
FFD: A Federated Learning Based Method for Credit Card Fraud Detection
Wensi Yang, Yuhang Zhang, Kejiang Ye, et al.
Lecture notes in computer science (2019), pp. 18-32
Open Access | Times Cited: 154
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
Artificial intelligence in customer-facing financial services: a systematic literature review and agenda for future research
Janin Karoli Hentzen, Arvid O. I. Hoffmann, Rebecca Dolan, et al.
International Journal of Bank Marketing (2021) Vol. 40, Iss. 6, pp. 1299-1336
Closed Access | Times Cited: 128
Data engineering for fraud detection
Bart Baesens, Sebastiaan Höppner, Tim Verdonck
Decision Support Systems (2021) Vol. 150, pp. 113492-113492
Open Access | Times Cited: 103
A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection
Hosein Fanai, Hossein Abbasimehr
Expert Systems with Applications (2023) Vol. 217, pp. 119562-119562
Closed Access | Times Cited: 88
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
A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection
Emilija Strelcenia, Simant Prakoonwit
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 304-329
Open Access | Times Cited: 41
Credit Card Fraud Detection: A Novel Approach Using Aggregation Strategy and Feedback Mechanism
Changjun Jiang, Jiahui Song, Guanjun Liu, et al.
IEEE Internet of Things Journal (2018) Vol. 5, Iss. 5, pp. 3637-3647
Closed Access | Times Cited: 148
Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning
Eunji Kim, Jehyuk Lee, Hunsik Shin, et al.
Expert Systems with Applications (2019) Vol. 128, pp. 214-224
Closed Access | Times Cited: 125
Cost-sensitive payment card fraud detection based on dynamic random forest and k -nearest neighbors
Sanaz Nami, Mehdi Shajari
Expert Systems with Applications (2018) Vol. 110, pp. 381-392
Closed Access | Times Cited: 123
Towards automated feature engineering for credit card fraud detection using multi-perspective HMMs
Yvan Lucas, Pierre-Édouard Portier, Léa Laporte, et al.
Future Generation Computer Systems (2019) Vol. 102, pp. 393-402
Open Access | Times Cited: 118
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
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
Sybil Defense Techniques in Online Social Networks: A Survey
Muhammad Al‐Qurishi, Mabrook Al‐Rakhami, Atif Alamri, et al.
IEEE Access (2017) Vol. 5, pp. 1200-1219
Open Access | Times Cited: 106
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
SCARFF : A scalable framework for streaming credit card fraud detection with spark
Fabrizio Carcillo, Andrea Dal Pozzolo, Yann‐Aël Le Borgne, et al.
Information Fusion (2017) Vol. 41, pp. 182-194
Open Access | Times Cited: 94
Auto loan fraud detection using dominance-based rough set approach versus machine learning methods
Jerzy Błaszczyński, Adiel Teixeira de Almeida Filho, Anna Matuszyk, et al.
Expert Systems with Applications (2020) Vol. 163, pp. 113740-113740
Closed Access | Times Cited: 94
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