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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:

Credit card fraud detection using a deep learning multistage model
Georgios Zioviris, Kostas Kolomvatsos, George Stamoulis
The Journal of Supercomputing (2022) Vol. 78, Iss. 12, pp. 14571-14596
Closed Access | Times Cited: 19

Showing 19 citing articles:

A Machine Learning Method with Hybrid Feature Selection for Improved Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7254-7254
Open Access | Times Cited: 25
Evolving cybersecurity frontiers: A comprehensive survey on concept drift and feature dynamics aware machine and deep learning in intrusion detection systems
Methaq A. Shyaa, Noor Farizah Ibrahim, Zurinahni Zainol, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109143-109143
Open Access | Times Cited: 9
A Hybrid Convolutional Neural Network and Support Vector Machine‐Based Credit Card Fraud Detection Model
Tesfahun Berhane, Tamiru Melese, Assaye Walelign, et al.
Mathematical Problems in Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 19
An intelligent sequential fraud detection model based on deep learning
Georgios Zioviris, Kostas Kolomvatsos, George Stamoulis
The Journal of Supercomputing (2024) Vol. 80, Iss. 10, pp. 14824-14847
Open Access | Times Cited: 8
Detecting Frauds and Payment Defaults on Credit Card Data Inherited With Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review
Suraya Nurain Kalid, Kok–Chin Khor, Keng-Hoong Ng, et al.
IEEE Access (2024) Vol. 12, pp. 23636-23652
Open Access | Times Cited: 6
Analysis and Evaluation of Various Fraud Detection Methods for Electronic Payment Cards Transactions in Big Data
Hamid Banirostam, Touraj Banirostam, Mir Mohsen Pedram, et al.
Journal of Signal Processing Systems (2025)
Closed Access
Intelligent assessment of power quality disturbances: A comprehensive review on machine learning and deep learning solutions
Shaurya Jain, Amol Satsangi, Rajat Kumar, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110275-110275
Closed Access
Dynamic quantification anti-fraud machine learning model for real-time transaction fraud detection in banking
F. Li, Zhenya Chen
Deleted Journal (2025) Vol. 28, Iss. 1
Open Access
A Sophisticated Iterative Weighted Feature Selection (IWFS) Based Spiking Imperialist Competitive Recurrent Neural Network (SICRNN) Classification Model for Credit Card Fraud Detection
S. Sobana, V. Diana Earshia, R. Suganthi, et al.
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2025)
Closed Access
Artificial Intelligence for Fraud Detection
Rajesh Tiwari, Vibhuti Jain, K. P. S. Chauhan, et al.
Advances in computational intelligence and robotics book series (2025), pp. 203-216
Closed Access
Artificial Intelligence Challenges and Its Impact on Detection and Prevention of Financial Statement Fraud
Archna, Nidhi Bhagat
Advances in human resources management and organizational development book series (2024), pp. 60-80
Closed Access | Times Cited: 2
A Comprehensive Machine Learning Framework for Anomaly Detection in Credit Card Transactions
Fathe Jeribi
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 6
Open Access | Times Cited: 2
A semi-supervised Anti-Fraud model based on integrated XGBoost and BiGRU with self-attention network: an application to internet loan fraud detection
Venkata Lakshmi Narayana Gorle, Suvasini Panigrahi
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 56939-56964
Closed Access | Times Cited: 6
Federated Auto-Meta-Ensemble Learning Framework for AI-Enabled Military Operations
Konstantinos Demertzis, Panayotis Kikiras, Charalabos Skianis, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 430-430
Open Access | Times Cited: 5
An improved differential evolution algorithm for quantifying fraudulent transactions
Deepak Kumar Rakesh, Prasanta K. Jana
Pattern Recognition (2023) Vol. 141, pp. 109623-109623
Closed Access | Times Cited: 5
Financial Fraud Detection Based on Deep Learning: Towards Large-Scale Pre-training Transformer Models
Haitao Wang, Jiale Zheng, Ivan E. Carvajal-Roca, et al.
Communications in computer and information science (2023), pp. 163-177
Closed Access | Times Cited: 5
Enhanced autoencoder-based fraud detection: a novel approach with noise factor encoding and SMOTE
Mert Yılmaz Çakir, Yahya Şirin
Knowledge and Information Systems (2023) Vol. 66, Iss. 1, pp. 635-652
Closed Access | Times Cited: 3
Fund transfer fraud detection: Analyzing irregular transactions and customer relationships with self-attention and graph neural networks
Yi-Cheng Shih, Tian‐Shyr Dai, Ying-ping Chen, et al.
Expert Systems with Applications (2024) Vol. 259, pp. 125211-125211
Closed Access
Novel Methodology of Adaptive Machine Learning and Deep Learning System for Detecting the Fraudulent Activities in Financial Sector
Venkata Lakshmi Narayana G, Suvasini Panigrahi
(2024), pp. 1-6
Closed Access
AIpowered Automation of Fraud Detection in Financial Services
Rahul Sharma, Dattatraya Babanrao Nalawade, Pushpa Negi, et al.
(2023), pp. 1-5
Closed Access
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