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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:

Ensemble of deep sequential models for credit card fraud detection
Javad Forough, Saeedeh Momtazi
Applied Soft Computing (2020) Vol. 99, pp. 106883-106883
Closed Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

A Survey of Ensemble Learning: Concepts, Algorithms, Applications, and Prospects
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2022) Vol. 10, pp. 99129-99149
Open Access | Times Cited: 470
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
A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection
Hosein Fanai, Hossein Abbasimehr
Expert Systems with Applications (2023) Vol. 217, pp. 119562-119562
Closed Access | Times Cited: 88
Credit card fraud detection in the era of disruptive technologies: A systematic review
Asma Cherif, Arwa Badhib, Heyfa Ammar, et al.
Journal of King Saud University - Computer and Information Sciences (2022) Vol. 35, Iss. 1, pp. 145-174
Open Access | Times Cited: 85
Insurance fraud detection: Evidence from artificial intelligence and machine learning
Faheem Aslam, Ahmed Imran Hunjra, Zied Ftiti, et al.
Research in International Business and Finance (2022) Vol. 62, pp. 101744-101744
Open Access | Times Cited: 74
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: 36
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
Ibomoiye Domor Mienye, Nobert Jere
IEEE Access (2024) Vol. 12, pp. 96893-96910
Open Access | Times Cited: 22
Federated learning model for credit card fraud detection with data balancing techniques
Mustafa Abdul Salam, Khaled M. Fouad, Doaa L. El-Bably, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 6231-6256
Open Access | Times Cited: 18
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
Abed Mutemi, Fernando Bação
Big Data Mining and Analytics (2024) Vol. 7, Iss. 2, pp. 419-444
Open Access | Times Cited: 16
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
Enhanced credit card fraud detection based on attention mechanism and LSTM deep model
Ibtissam Benchaji, Samira Douzi, Bouabid El Ouahidi, et al.
Journal Of Big Data (2021) Vol. 8, Iss. 1
Open Access | Times Cited: 88
An intelligent payment card fraud detection system
Manjeevan Seera, Chee Peng Lim, Ajay Kumar, et al.
Annals of Operations Research (2021) Vol. 334, Iss. 1-3, pp. 445-467
Open Access | Times Cited: 86
Time-Aware Attention-Based Gated Network for Credit Card Fraud Detection by Extracting Transactional Behaviors
Yu Xie, Guanjun Liu, Chungang Yan, et al.
IEEE Transactions on Computational Social Systems (2022) Vol. 10, Iss. 3, pp. 1004-1016
Closed Access | Times Cited: 59
A Novel text2IMG Mechanism of Credit Card Fraud Detection: A Deep Learning Approach
Abdullah Alharbi, Majid Alshammari, Ofonime Dominic Okon, et al.
Electronics (2022) Vol. 11, Iss. 5, pp. 756-756
Open Access | Times Cited: 54
Fraud detection and prevention in e-commerce: A systematic literature review
Vinicius Facco Rodrigues, Lucas Micol Policarpo, Diórgenes Eugênio da Silveira, et al.
Electronic Commerce Research and Applications (2022) Vol. 56, pp. 101207-101207
Closed Access | Times Cited: 43
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 systematic review of literature on credit card cyber fraud detection using machine and deep learning
Eyad Btoush, Xujuan Zhou, Raj Gururajan, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1278-e1278
Open Access | Times Cited: 27
Imbalanced credit card fraud detection data: A solution based on hybrid neural network and clustering-based undersampling technique
Huajie Huang, Бо Лю, Xiaoyu Xue, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111368-111368
Closed Access | Times Cited: 11
Credit card fraud detection using the brown bear optimization algorithm
Shaymaa E. Sorour, Khalied M. Albarrak, Amr A. Abohany, et al.
Alexandria Engineering Journal (2024) Vol. 104, pp. 171-192
Closed Access | Times Cited: 10
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: 1
An ensemble credit scoring model based on logistic regression with heterogeneous balancing and weighting effects
Runchi Zhang, Xue Liguo, Wang Qin
Expert Systems with Applications (2022) Vol. 212, pp. 118732-118732
Closed Access | Times Cited: 29
Online Payment Fraud Detection Model Using Machine Learning Techniques
Abdulwahab Ali Almazroi, Nasir Ayub
IEEE Access (2023) Vol. 11, pp. 137188-137203
Open Access | Times Cited: 21
Oppositional Cat Swarm Optimization‐Based Feature Selection Approach for Credit Card Fraud Detection
N. Prabhakaran, R. Nedunchelian
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 19
A Comparison Study of Fraud Detection in Usage of Credit Cards using Machine Learning
P. Yogendra Prasad, A Sreni Chowdary, Cherapalli Bavitha, et al.
2022 6th International Conference on Trends in Electronics and Informatics (ICOEI) (2023), pp. 1204-1209
Closed Access | Times Cited: 18
A distributed deep neural network model for credit card fraud detection
Yu-Tian Lei, Chaoqun Ma, Yi‐Shuai Ren, et al.
Finance research letters (2023) Vol. 58, pp. 104547-104547
Closed Access | Times Cited: 17
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