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: A Systematic Review
C. Victoria Priscilla, D. Padma Prabha
Learning and analytics in intelligent systems (2020), pp. 290-303
Closed Access | Times Cited: 12

Showing 12 citing articles:

Imbalanced data preprocessing techniques for machine learning: a systematic mapping study
Vitor Werner de Vargas, Jorge Aranda, Ricardo dos Santos Costa, et al.
Knowledge and Information Systems (2022) Vol. 65, Iss. 1, pp. 31-57
Open Access | Times Cited: 72

A systematic review of AI-enhanced techniques in credit card fraud detection
Ibrahim Y. Hafez, Alaaeldin M. Hafez, Ahmed M. Shamsan Saleh, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access | Times Cited: 2

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

Credit Card Fraud Detection with Machine Learning and Big Data Analytics: A PySpark Framework Implementation
Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Fotini Zakka, et al.
(2024)
Open Access | Times Cited: 1

Comparative Review of Credit Card Fraud Detection using Machine Learning and Concept Drift Techniques
Oluwadare Samuel Adebayo, Thompson Aderonke Favour-Bethy, Otasowie Owolafe, et al.
International Journal of Computer Science and Mobile Computing (2023) Vol. 12, Iss. 7, pp. 24-48
Open Access | Times Cited: 4

Effective Machine Learning Approaches for Credit Card Fraud Detection
Md. Noor Alam, Prajoy Podder, Subrato Bharati, et al.
Advances in intelligent systems and computing (2021), pp. 154-163
Closed Access | Times Cited: 6

A combined framework based on LSTM autoencoder and XGBoost with adaptive threshold classification for credit card fraud detection
D. Padma Prabha, C. Victoria Priscilla
THE SCIENTIFIC TEMPER (2024) Vol. 15, Iss. 02, pp. 2216-2224
Open Access

A Machine Learning based Approach to Reduce Behavioral Noise Problem in an Imbalanced Data: Application to a fraud detection
Salma El Hajjami, Jamal Malki, Alain Bouju, et al.
(2020), pp. 11-20
Closed Access | Times Cited: 3

Probabilistic XGBoost Threshold Classification with Autoencoder for Credit Card Fraud Detection
D. Padma Prabha, C. Victoria Priscilla
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 8s, pp. 528-537
Open Access | Times Cited: 1

Credit Card Fraud Detection Techniques Under IoT Environment: A Survey
M. Kanchana, R. Naresh, N. Deepa, et al.
Springer eBooks (2022), pp. 141-154
Closed Access | Times Cited: 2

Thematic Clustering of Latent Topics in Banking Fraud Detection: A Machine Learning Approach
Hanna Olasiuk, Sudhanshu Singh, Tetiana Ganushchak
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (2023), pp. 1-6
Closed Access

False Positives in Credit Card Fraud Detection: Measurement and Mitigation
Florian Wallny
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2022)
Open Access

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