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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:

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

Showing 1-25 of 94 citing articles:

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: 311
Machine Learning Operations (MLOps): Overview, Definition, and Architecture
Dominik Kreuzberger, Niklas Kühl, Sebastian Hirschl
IEEE Access (2023) Vol. 11, pp. 31866-31879
Open Access | Times Cited: 268
The state of the art and taxonomy of big data analytics: view from new big data framework
Azlinah Mohamed, Maryam Khanian Najafabadi, Yap Bee Wah, et al.
Artificial Intelligence Review (2019) Vol. 53, Iss. 2, pp. 989-1037
Closed Access | Times Cited: 223
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
Towards a big data framework for analyzing social media content
Jose Luis Jiménez-Márquez, Israel González‐Carrasco, José Luis López-Cuadrado, et al.
International Journal of Information Management (2018) Vol. 44, pp. 1-12
Open Access | Times Cited: 117
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study
Amir M. Rahmani, Elham Azhir, Saqib Ali, et al.
PeerJ Computer Science (2021) Vol. 7, pp. e488-e488
Open Access | Times Cited: 97
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
A Financial Fraud Detection Model Based on LSTM Deep Learning Technique
Yara Alghofaili, Albatul Albattah, Murad A. Rassam
Journal of Applied Security Research (2020) Vol. 15, Iss. 4, pp. 498-516
Closed Access | Times Cited: 89
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: 81
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: 62
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
An iterative boosting-based ensemble for streaming data classification
João Roberto Bertini, Maria do Carmo Nicoletti
Information Fusion (2018) Vol. 45, pp. 66-78
Closed Access | Times Cited: 69
Parallel and incremental credit card fraud detection model to handle concept drift and data imbalance
Akila Somasundaram, U. Srinivasulu Reddy
Neural Computing and Applications (2018) Vol. 31, Iss. S1, pp. 3-14
Closed Access | Times Cited: 67
A stream processing architecture for heterogeneous data sources in the Internet of Things
David Corral-Plaza, Inmaculada Medina‐Bulo, Guadalupe Ortiz, et al.
Computer Standards & Interfaces (2020) Vol. 70, pp. 103426-103426
Closed Access | Times Cited: 59
Few-shot imbalanced classification based on data augmentation
Xuewei Chao, Lixin Zhang
Multimedia Systems (2021) Vol. 29, Iss. 5, pp. 2843-2851
Closed Access | Times Cited: 49
A probabilistic generalization of isolation forest
Mikhail Tokovarov, Paweł Karczmarek
Information Sciences (2021) Vol. 584, pp. 433-449
Open Access | Times Cited: 48
CREDIT CARD FRAUD DETECTION
Y.Sudhir Kumar Yadav
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 06, pp. 1-5
Open Access | Times Cited: 6
Credit Card Fraud Detection using autoencoder based clustering
Mohamad Zamini, Gholamali Montazer
(2018)
Closed Access | Times Cited: 57
Credit Card Fraud Detection by Modelling Behaviour Pattern using Hybrid Ensemble Model
Venkatesh Karthik, Abinash Mishra, U. Srinivasulu Reddy
Arabian Journal for Science and Engineering (2021) Vol. 47, Iss. 2, pp. 1987-1997
Closed Access | Times Cited: 34
Opportunities in Real Time Fraud Detection: An Explainable Artificial Intelligence (XAI) Research Agenda
Eleanor Mill, Wolfgang Garn, Nick Ryman‐Tubb, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 5
Open Access | Times Cited: 13
Streaming active learning strategies for real-life credit card fraud detection: assessment and visualization
Fabrizio Carcillo, Yann‐Aël Le Borgne, Olivier Caelen, et al.
International Journal of Data Science and Analytics (2018) Vol. 5, Iss. 4, pp. 285-300
Open Access | Times Cited: 42
Using Big Data-machine learning models for diabetes prediction and flight delays analytics
Thérence Nibareke, Jalal Laassiri
Journal Of Big Data (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 32
A Heterogeneous Ensemble Learning Model Based on Data Distribution for Credit Card Fraud Detection
Yalong Xie, Aiping Li, Liqun Gao, et al.
Wireless Communications and Mobile Computing (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 28
Fraud detection in bank transaction with wrapper model and Harris water optimization-based deep recurrent neural network
Chandra Sekhar Kolli, Uma Devi Tatavarthi
Kybernetes (2020) Vol. 50, Iss. 6, pp. 1731-1750
Closed Access | Times Cited: 30
Credit Card Fraud Detection in Card-Not-Present Transactions: Where to Invest?
Igor Mekterović, Mladen Karan, Damir Pintar, et al.
Applied Sciences (2021) Vol. 11, Iss. 15, pp. 6766-6766
Open Access | Times Cited: 26
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