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:

Improving Fraud Detection and Concept Drift Adaptation in Credit Card Transactions Using Incremental Gradient Boosting Trees
Barış Bayram, Bilge Köroğlu, Mehmet Gönen
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2020) Vol. 10, pp. 545-550
Closed Access | Times Cited: 8

Showing 8 citing articles:

Bibliometric Analysis of Recent Trends in Machine Learning for Online Credit Card Fraud Detection
Dickson Hove, Oludayo O. Olugbara, Alveen Singh
Journal of Scientometric Research (2024) Vol. 13, Iss. 1, pp. 43-57
Open Access | Times Cited: 4

Pre-trained Online Contrastive Learning for Insurance Fraud Detection
Rui Zhang, Dawei Cheng, Jie Yang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 20, pp. 22511-22519
Open Access | Times Cited: 3

Cross-Domain Credit Default Prediction via Interpretable Ensemble Transfer
Zhida Shang, Hefeng Meng, Yibowen Zhao, et al.
International Journal of Crowd Science (2023) Vol. 7, Iss. 3, pp. 106-112
Open Access | Times Cited: 5

Chunk-based incremental feature learning for credit-card fraud data stream
Armin Sadreddin, Samira Sadaoui
Journal of Experimental & Theoretical Artificial Intelligence (2022) Vol. 36, Iss. 8, pp. 1447-1465
Closed Access | Times Cited: 2

Data Replay Method for Detecting Fraud Concept Drift in Online Transactions
Zhaohui Zhang, Ruping Yang, Fujuan Xu, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 1

Concept drift and machine learning model for detecting fraudulent transactions in streaming environment
Arati Shahapurkar, Rudragoud Patil
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2023) Vol. 13, Iss. 5, pp. 5560-5560
Open Access

A Novel GBT-Based Approach for Cross-Channel Fraud Detection on Real-World Banking Transactions
Uğur Dolu, Emre Sefer
IFIP advances in information and communication technology (2022), pp. 73-84
Closed Access

Incremental Feature Learning For Infinite Data.
Armin Sadreddin, Samira Sadaoui
arXiv (Cornell University) (2021)
Closed Access

Page 1

Scroll to top