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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:

APATE: A novel approach for automated credit card transaction fraud detection using network-based extensions
Véronique Van Vlasselaer, Cristián Bravo, Olivier Caelen, et al.
Decision Support Systems (2015) Vol. 75, pp. 38-48
Open Access | Times Cited: 285

Showing 1-25 of 285 citing articles:

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
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
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
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: 315
Random forest for credit card fraud detection
Shiyang Xuan, Guanjun Liu, Zhenchuan Li, et al.
(2018), pp. 1-6
Closed Access | Times Cited: 293
Big Data sources and methods for social and economic analyses
Desamparados Blázquez, Josep Domènech
Technological Forecasting and Social Change (2017) Vol. 130, pp. 99-113
Open Access | Times Cited: 292
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: 249
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
Machine learning algorithms for social media analysis: A survey
T. Balaji, Chandra Sekhara Rao Annavarapu, Annushree Bablani
Computer Science Review (2021) Vol. 40, pp. 100395-100395
Closed Access | Times Cited: 195
A survey of machine-learning and nature-inspired based credit card fraud detection techniques
Aderemi O. Adewumi, Andronicus A. Akinyelu
International Journal of Systems Assurance Engineering and Management (2016) Vol. 8, Iss. S2, pp. 937-953
Closed Access | Times Cited: 190
The value of big data for credit scoring: Enhancing financial inclusion using mobile phone data and social network analytics
María Óskarsdóttir, Cristián Bravo, Carlos Sarraute, et al.
Applied Soft Computing (2018) Vol. 74, pp. 26-39
Open Access | Times Cited: 180
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
Supervised Machine Learning Algorithms for Credit Card Fraudulent Transaction Detection: A Comparative Study
Sahil Dhankhad, Emad A. Mohammed, Behrouz H. Far
(2018), pp. 122-125
Closed Access | Times Cited: 174
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
Machine learning techniques for credit risk evaluation: a systematic literature review
Siddharth Bhatore, Lalit Mohan, Y. Raghu Reddy
Journal of Banking and Financial Technology (2020) Vol. 4, Iss. 1, pp. 111-138
Closed Access | Times Cited: 153
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: 138
Meta-learning approaches for learning-to-learn in deep learning: A survey
Yingjie Tian, Xiaoxi Zhao, Wei Huang
Neurocomputing (2022) Vol. 494, pp. 203-223
Closed Access | Times Cited: 83
A supervised machine learning algorithm for detecting and predicting fraud in credit card transactions
Jonathan Kwaku Afriyie, Kassim Tawiah, Wilhemina Adoma Pels, et al.
Decision Analytics Journal (2023) Vol. 6, pp. 100163-100163
Open Access | Times Cited: 81
Insurance fraud detection: Evidence from artificial intelligence and machine learning
Faheem Aslam, Ahmed Imran Hunjra, Zied Ftiti, et al.
Research in International Business and Finance (2022) Vol. 62, pp. 101744-101744
Open Access | Times Cited: 74
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
GOTCHA! Network-Based Fraud Detection for Social Security Fraud
Véronique Van Vlasselaer, Tina Eliassi‐Rad, Leman Akoglu, et al.
Management Science (2016) Vol. 63, Iss. 9, pp. 3090-3110
Open Access | Times Cited: 136
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
Digitalisation and Big Data Mining in Banking
Hossein Hassani, Xu Huang, Emmanuel Sirimal Silva
Big Data and Cognitive Computing (2018) Vol. 2, Iss. 3, pp. 18-18
Open Access | Times Cited: 123
The value of vehicle telematics data in insurance risk selection processes
Philippe Baecke, Lorenzo Bocca
Decision Support Systems (2017) Vol. 98, pp. 69-79
Closed Access | Times Cited: 119
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