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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 51-75 of 285 citing articles:

Value-added tax fraud detection with scalable anomaly detection techniques
Jellis Vanhoeyveld, David Martens, Bruno Peeters
Applied Soft Computing (2019) Vol. 86, pp. 105895-105895
Closed Access | Times Cited: 70
A Multifaceted Approach to Bitcoin Fraud Detection: Global and Local Outliers
Patrick M. Monamo, Vukosi Marivate, Bhekisipho Twala
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2016), pp. 188-194
Closed Access | Times Cited: 69
ConvNets for Fraud Detection analysis
Alae Chouiekh, El Hassane Ibn El Haj
Procedia Computer Science (2018) Vol. 127, pp. 133-138
Open Access | Times Cited: 65
Discovering the global landscape of fraud detection studies: a bibliometric review
Ala’a Zuhair Mansour, Aidi Ahmi, Oluwatoyin Muse Johnson Popoola, et al.
Journal of Financial Crime (2021) Vol. 29, Iss. 2, pp. 701-720
Open Access | Times Cited: 42
Inductive Graph Representation Learning for fraud detection
Rafaël Van Belle, Charles Van Damme, Hendrik Tytgat, et al.
Expert Systems with Applications (2022) Vol. 193, pp. 116463-116463
Open Access | Times Cited: 30
Regulatory technology (Reg-Tech) in financial stability supervision: Taxonomy, key methods, applications and future directions
Xiangrui Chao, Qin Ran, Jia Chen, et al.
International Review of Financial Analysis (2022) Vol. 80, pp. 102023-102023
Closed Access | Times Cited: 30
Fraud detection in big data using supervised and semi-supervised learning techniques
German E. Melo-Acosta, Freddy Duitama, Julián D. Arias-Londoño
(2017), pp. 1-6
Closed Access | Times Cited: 53
Feature construction for fraudulent credit card cash-out detection
Yue Wu, Yunjie Xu, Jiaoyang Li
Decision Support Systems (2019) Vol. 127, pp. 113155-113155
Closed Access | Times Cited: 49
Advanced turbidity prediction for operational water supply planning
Matthew M. Stevenson, Cristián Bravo
Decision Support Systems (2019) Vol. 119, pp. 72-84
Closed Access | Times Cited: 43
Inferring multi-stage risk for online consumer credit services: An integrated scheme using data augmentation and model enhancement
Jilei Zhou, Cong Wang, Fei Ren, et al.
Decision Support Systems (2021) Vol. 149, pp. 113611-113611
Closed Access | Times Cited: 34
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: 15
Optimizing credit limit adjustments under adversarial goals using reinforcement learning
Sherly Alfonso-Sánchez, Jesús Solano, Alejandro Correa-Bahnsen, et al.
European Journal of Operational Research (2024) Vol. 315, Iss. 2, pp. 802-817
Open Access | Times Cited: 5
A novel approach for credit card fraud transaction detection using deep reinforcement learning scheme
Abdul Qayoom, Mansoor Ahmed Khuhro, Kamlesh Kumar, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e1998-e1998
Open Access | Times Cited: 5
Interpretable machine learning and explainable artificial intelligence
Kazim Topuz, Akhilesh Bajaj, Kristof Coussement, et al.
Annals of Operations Research (2025)
Closed Access
Preferences and Usage of E-Banking Services Among Customers in Tripura, India
Supriya Dam
IGI Global eBooks (2025), pp. 155-186
Closed Access
Emerging Threats in Digital Payment and Financial Crime: A Bibliometric Review
Vishnu Laxman, N. I. Ramesh, Senthil Kumar Jaya Prakash, et al.
Journal of Digital Economy (2025)
Open Access
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
Attributed Network Alignment: Problem Definitions and Fast Solutions
Si Zhang, Hanghang Tong
IEEE Transactions on Knowledge and Data Engineering (2018) Vol. 31, Iss. 9, pp. 1680-1692
Open Access | Times Cited: 41
Predicting tax avoidance by means of social network analytics
Jasmien Lismont, Eddy Cardinaels, Liesbeth Bruynseels, et al.
Decision Support Systems (2018) Vol. 108, pp. 13-24
Open Access | Times Cited: 40
IFDTC4.5: Intuitionistic fuzzy logic based decision tree for E-transactional fraud detection
S. Md. S. Askari, Md. Anwar Hussain
Journal of Information Security and Applications (2020) Vol. 52, pp. 102469-102469
Closed Access | Times Cited: 36
ReMEMBeR: Ranking Metric Embedding-Based Multicontextual Behavior Profiling for Online Banking Fraud Detection
Jipeng Cui, Chungang Yan, Cheng Wang
IEEE Transactions on Computational Social Systems (2021) Vol. 8, Iss. 3, pp. 643-654
Closed Access | Times Cited: 28
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
Big Data Analytics for Credit Card Fraud Detection Using Supervised Machine Learning Models
Yakub Kayode Saheed, Usman Ahmad Baba, Mustafa Ayobami Raji
Emerald Publishing Limited eBooks (2022), pp. 31-56
Closed Access | Times Cited: 21
The role of web browsing in credit risk prediction
Betty Johanna Garzon Rozo, Jonathan Crook, Galina Andreeva
Decision Support Systems (2022) Vol. 164, pp. 113879-113879
Open Access | Times Cited: 20

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