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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:

Fraud Detection using Machine Learning and Deep Learning
P. Raghavan, Neamat El Gayar
(2019), pp. 334-339
Closed Access | Times Cited: 109

Showing 1-25 of 109 citing articles:

Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
Fawaz Khaled Alarfaj, Iqra Malik, Hikmat Ullah Khan, et al.
IEEE Access (2022) Vol. 10, pp. 39700-39715
Open Access | Times Cited: 174
Enhancing Credit Card Fraud Detection: An Ensemble Machine Learning Approach
Abdul Rehman Khalid, Nsikak Owoh, Omair Uthmani, et al.
Big Data and Cognitive Computing (2024) Vol. 8, Iss. 1, pp. 6-6
Open Access | Times Cited: 40
Combining Autoencoders and Deep Learning for Effective Fraud Detection in Credit Card Transactions
Mohammed Tayebi, Said El Kafhali
Operations Research Forum (2025) Vol. 6, Iss. 1
Closed Access | Times Cited: 2
A Brief Survey of Machine Learning and Deep Learning Techniques for E-Commerce Research
Xue Zhang, Fusen Guo, Tao Chen, et al.
Journal of theoretical and applied electronic commerce research (2023) Vol. 18, Iss. 4, pp. 2188-2216
Open Access | Times Cited: 33
A Comprehensive Survey of Machine Learning: Advancements, Applications, and Challenges
T. G. Nithya, Vivek Kumar, S. Gayathri, et al.
(2023), pp. 354-361
Closed Access | Times Cited: 31
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
A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture
Hussain Mobarak Albarakati, Muhammad Attique Khan, Ameer Hamza, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 6338-6353
Open Access | Times Cited: 12
Transparency and Privacy: The Role of Explainable AI and Federated Learning in Financial Fraud Detection
Tomisin Awosika, Raj Mani Shukla, Bernardi Pranggono
IEEE Access (2024) Vol. 12, pp. 64551-64560
Open Access | Times Cited: 12
Machine learning algorithms for fraud prediction in property insurance: Empirical evidence using real-world microdata
Matheus Kempa Severino, Yaohao Peng
Machine Learning with Applications (2021) Vol. 5, pp. 100074-100074
Open Access | Times Cited: 55
A Proposed Model for Card Fraud Detection Based on CatBoost and Deep Neural Network
Nghia Hoai Nguyen, T.P.C. Duong, Tram Chau, et al.
IEEE Access (2022) Vol. 10, pp. 96852-96861
Open Access | Times Cited: 34
Enhancing Fra1ud Detection in Real Time using DataOps on Elastic Platforms
Ankur Mahida, Pradeep Chintale, Hrushikesh Deshmukh
International Journal of Scientific Research in Computer Science Engineering and Information Technology (2024) Vol. 10, Iss. 3, pp. 118-125
Open Access | Times Cited: 7
Deep Learning Approach to DGA Classification for Effective Cyber Security
Priya Karunakaran
Journal of Ubiquitous Computing and Communication Technologies (2021) Vol. 2, Iss. 4, pp. 203-213
Open Access | Times Cited: 36
Fraud Detection and Prevention Using Machine Learning Algorithms: A Review
G. Jaculine Priya, S. Saradha
(2021), pp. 564-568
Closed Access | Times Cited: 34
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
Fraud Detection: A Hybrid Approach With Logistic Regression, Decision Tree, and Random Forest
Yugal Salunke, Sagarika Phalke, Manoj Madavi, et al.
Cureus Journal of Computer Science. (2025)
Closed Access
The Potential of Energy-Based RBM and xLSTM for Real-Time Predictive Analytics in Credit Card Fraud Detection
Peyman Baghdadi, Serdar Korukoğlu, Mehmet Ali Bilici, et al.
Journal of Data Analysis and Information Processing (2025) Vol. 13, Iss. 01, pp. 79-100
Open Access
Comparing the Performance of Supervised, Unsupervised and Hybrid Learning on Medical Insurance Fraud Detection
Saloni Kumari, Nitin Kumar Jaiswal, Kanika, et al.
Communications in computer and information science (2025), pp. 198-211
Closed Access
Detecting Fraudulent Transactions for Different Patterns in Financial Networks Using Layer Weigthed GCN
Shaziya Islam, Gagan Gupta, Anindita Chakraborty, et al.
Human-Centric Intelligent Systems (2025)
Open Access
Enhancing detection of fraudulent financial activities using random forest and compared with decision tree techniques
Sivarakesh, Selvakumara
AIP conference proceedings (2025) Vol. 3270, pp. 020186-020186
Closed Access
Research Methods in Machine Learning: A Content Analysis
Jackson Kamiri, Geoffrey Mariga
International Journal of Computer and Information Technology(2279-0764) (2021) Vol. 10, Iss. 2
Open Access | Times Cited: 31
A Survey on Credit Card Fraud Detection Techniques in Banking Industry for Cyber Security
Eyad Btoush, Xujuan Zhou, Rai Gururaian, et al.
(2021), pp. 1-7
Closed Access | Times Cited: 27
Credit-card Fraud Detection System using Neural Networks
Salwa Al Balawi, Njood Aljohani
The International Arab Journal of Information Technology (2023) Vol. 20, Iss. 2
Open Access | Times Cited: 12
An augmented AI-based hybrid fraud detection framework for invoicing platforms
Dewan F. Wahid, Elkafi Hassini
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1297-1310
Closed Access | Times Cited: 4
Healthcare Artificial Intelligence in India and Ethical Aspects
Avik Sarkar, Poorva Singh, Mayuri Varkey
(2024), pp. 107-150
Closed Access | Times Cited: 4
E-Commerce and the Evolution of Consumer Behavior
Daniel Silva
Advances in human resources management and organizational development book series (2025), pp. 133-154
Closed Access
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