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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 26-50 of 285 citing articles:

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
Detecting financial misstatements with fraud intention using multi-class cost-sensitive learning
Yeonkook J. Kim, Bok Baik, Sungzoon Cho
Expert Systems with Applications (2016) Vol. 62, pp. 32-43
Closed Access | Times Cited: 112
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
Process Resilience Analysis Framework (PRAF): A systems approach for improved risk and safety management
Prerna Jain, Hans J. Pasman, S.P. Waldram, et al.
Journal of Loss Prevention in the Process Industries (2017) Vol. 53, pp. 61-73
Closed Access | Times Cited: 103
A Socio-technical Approach to Preventing, Mitigating, and Recovering from Ransomware Attacks
Hardeep Singh, Dean F. Sittig
Applied Clinical Informatics (2016) Vol. 07, Iss. 02, pp. 624-632
Open Access | Times Cited: 102
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
Transaction Fraud Detection Based on Total Order Relation and Behavior Diversity
Lutao Zheng, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Computational Social Systems (2018) Vol. 5, Iss. 3, pp. 796-806
Closed Access | Times Cited: 92
Social network analytics for churn prediction in telco: Model building, evaluation and network architecture
María Óskarsdóttir, Cristián Bravo, Wouter Verbeke, et al.
Expert Systems with Applications (2017) Vol. 85, pp. 204-220
Open Access | Times Cited: 91
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
Bitcoin and Cryptocurrency: Challenges, Opportunities and Future Works
Muhammad Ashraf Fauzi, Norazha Paiman, Zarina OTHMAN
Journal of Asian Finance Economics and Business (2020) Vol. 7, Iss. 8, pp. 695-704
Open Access | Times Cited: 88
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model
Ibtissam Benchaji, Samira Douzi, Bouabid El Ouahidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 88
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
Special issue on feature engineering editorial
Tim Verdonck, Bart Baesens, María Óskarsdóttir, et al.
Machine Learning (2021) Vol. 113, Iss. 7, pp. 3917-3928
Open Access | Times Cited: 79
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
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
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
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
Efficient fraud detection using deep boosting decision trees
Biao Xu, Yao Wang, Xiuwu Liao, et al.
Decision Support Systems (2023) Vol. 175, pp. 114037-114037
Open Access | Times Cited: 22
A soft voting ensemble learning approach for credit card fraud detection
Mimusa Azim Mim, Nazia Majadi, Peal Mazumder
Heliyon (2024) Vol. 10, Iss. 3, pp. e25466-e25466
Open Access | Times Cited: 10
A Survey on Credit Card Fraud Detection Using Machine Learning
Rimpal R. Popat, Jayesh Chaudhary
2018 2nd International Conference on Trends in Electronics and Informatics (ICOEI) (2018)
Closed Access | Times Cited: 81
End-to-end neural network architecture for fraud scoring in card payments
Jon Ander Gómez, Juan Camilo Arevalo, Roberto Paredes, et al.
Pattern Recognition Letters (2017) Vol. 105, pp. 175-181
Closed Access | Times Cited: 79
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

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