Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Deep learning detecting fraud in credit card transactions
Abhimanyu Roy, Jingyi Sun, Robert Mahoney, et al.
(2018), pp. 129-134
Closed Access | Times Cited: 248

Showing 1-25 of 248 citing articles:

Deep learning for financial applications : A survey
Ahmet Murat Özbayoğlu, Mehmet Ugur Gudelek, Ömer Berat Sezer
Applied Soft Computing (2020) Vol. 93, pp. 106384-106384
Open Access | Times Cited: 375
Credit Card Fraud Detection using Machine Learning Algorithms
Vaishnavi Nath Dornadula, S. Geetha
Procedia Computer Science (2019) Vol. 165, pp. 631-641
Open Access | Times Cited: 249
Real-time Credit Card Fraud Detection Using Machine Learning
Anuruddha Thennakoon, Chee Bhagyani, Sasitha Premadasa, et al.
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2019), pp. 488-493
Closed Access | Times Cited: 166
Enhanced credit card fraud detection based on SVM-recursive feature elimination and hyper-parameters optimization
Naoufal Rtayli, Nourddine Enneya
Journal of Information Security and Applications (2020) Vol. 55, pp. 102596-102596
Closed Access | Times Cited: 160
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: 140
Intelligent financial fraud detection practices in post-pandemic era
Xiaoqian Zhu, Xiang Ao, Zidi Qin, et al.
The Innovation (2021) Vol. 2, Iss. 4, pp. 100176-100176
Open Access | Times Cited: 120
Development of an End-to-End Deep Learning Framework for Sign Language Recognition, Translation, and Video Generation
B Natarajan, E. Rajalakshmi, R Elakkiya, et al.
IEEE Access (2022) Vol. 10, pp. 104358-104374
Open Access | Times Cited: 69
Large Language Models in Finance: A Survey
Yinheng Li, Shaofei Wang, Han Ding, et al.
(2023)
Open Access | Times Cited: 59
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
An Empirical Study on Correlations Between Deep Neural Network Fairness and Neuron Coverage Criteria
Wei Zheng, Lidan Lin, Xiaoxue Wu, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 3, pp. 391-412
Closed Access | Times Cited: 20
GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection
Quoc Phong Nguyen, Kar Wai Lim, Dinil Mon Divakaran, et al.
(2019), pp. 91-99
Open Access | Times Cited: 133
Champion-challenger analysis for credit card fraud detection: Hybrid ensemble and deep learning
Eunji Kim, Jehyuk Lee, Hunsik Shin, et al.
Expert Systems with Applications (2019) Vol. 128, pp. 214-224
Closed Access | Times Cited: 125
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
Amirhosein Mosavi, Yaser Faghan, Pedram Ghamisi, et al.
Mathematics (2020) Vol. 8, Iss. 10, pp. 1640-1640
Open Access | Times Cited: 106
Credit Card Fraud Detection Using Machine Learning
Ruttala Sailusha, V. Gnaneswar, R. Ramesh, et al.
2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS) (2020), pp. 1264-1270
Closed Access | Times Cited: 104
Deep Learning and Big Data in Healthcare: A Double Review for Critical Beginners
Luis Bote-Curiel, Sergio Muñoz-Romero, Alicia Gerrero-Curieses, et al.
Applied Sciences (2019) Vol. 9, Iss. 11, pp. 2331-2331
Open Access | Times Cited: 97
A Financial Fraud Detection Model Based on LSTM Deep Learning Technique
Yara Alghofaili, Albatul Albattah, Murad A. Rassam
Journal of Applied Security Research (2020) Vol. 15, Iss. 4, pp. 498-516
Closed Access | Times Cited: 89
Credit Card Fraud Detection Based on Machine and Deep Learning
Hassan Najadat, Ola Altiti, Ayah Abu Aqouleh, et al.
(2020), pp. 204-208
Closed Access | Times Cited: 88
Performance Evaluation of Machine Learning Algorithms for Credit Card Fraud Detection
Sangeeta Mittal, Shivani Tyagi
2022 12th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (2019), pp. 320-324
Closed Access | Times Cited: 86
Using Variational Auto Encoding in Credit Card Fraud Detection
Tingfei Huang, Guangquan Cheng, Kuihua Huang
IEEE Access (2020) Vol. 8, pp. 149841-149853
Open Access | Times Cited: 78
A proof that deep artificial neural networks overcome the curse of dimensionality in the numerical approximation of Kolmogorov partial differential equations with constant diffusion and nonlinear drift coefficients
Arnulf Jentzen, Diyora Salimova, Timo Welti
Communications in Mathematical Sciences (2021) Vol. 19, Iss. 5, pp. 1167-1205
Open Access | Times Cited: 71
Follow the Trail: Machine Learning for Fraud Detection in Fintech Applications
Branka Stojanović, Josip Božić, Katharina Hofer-Schmitz, et al.
Sensors (2021) Vol. 21, Iss. 5, pp. 1594-1594
Open Access | Times Cited: 63
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
Understanding Software-2.0
Malinda Dilhara, Ameya Ketkar, Danny Dig
ACM Transactions on Software Engineering and Methodology (2021) Vol. 30, Iss. 4, pp. 1-42
Open Access | Times Cited: 56
Fraud Detection in Banking Data by Machine Learning Techniques
Seyedeh Khadijeh Hashemi, Seyedeh Leili Mirtaheri, Sergio Greco
IEEE Access (2022) Vol. 11, pp. 3034-3043
Open Access | Times Cited: 56
MLOps: A Taxonomy and a Methodology
Matteo Testi, Matteo Ballabio, Emanuele Frontoni, et al.
IEEE Access (2022) Vol. 10, pp. 63606-63618
Open Access | Times Cited: 54
Page 1 - Next Page

Scroll to top