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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:

FFD: A Federated Learning Based Method for Credit Card Fraud Detection
Wensi Yang, Yuhang Zhang, Kejiang Ye, et al.
Lecture notes in computer science (2019), pp. 18-32
Open Access | Times Cited: 154

Showing 1-25 of 154 citing articles:

A review of applications in federated learning
Li Li, Yuxi Fan, Ying Kei Tse, et al.
Computers & Industrial Engineering (2020) Vol. 149, pp. 106854-106854
Open Access | Times Cited: 857
Applications of federated learning in smart cities: recent advances, taxonomy, and open challenges
Zhaohua Zheng, Yize Zhou, Yilong Sun, et al.
Connection Science (2021) Vol. 34, Iss. 1, pp. 1-28
Open Access | Times Cited: 141
A Systematic Literature Review on Federated Machine Learning
Sin Kit Lo, Qinghua Lu, Chen Wang, et al.
ACM Computing Surveys (2021) Vol. 54, Iss. 5, pp. 1-39
Open Access | Times Cited: 130
Review of Machine Learning Approach on Credit Card Fraud Detection
Rejwan Bin Sulaiman, Vitaly Schetinin, Paul Sant
Human-Centric Intelligent Systems (2022) Vol. 2, Iss. 1-2, pp. 55-68
Open Access | Times Cited: 92
Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges
Mohammad Al-Quraan, Lina Mohjazi, Lina Bariah, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 7, Iss. 3, pp. 957-979
Open Access | Times Cited: 48
Federated machine learning for privacy preserving, collective supply chain risk prediction
Zheng Ge, Lingxuan Kong, Alexandra Brintrup
International Journal of Production Research (2023) Vol. 61, Iss. 23, pp. 8115-8132
Open Access | Times Cited: 47
A Survey on GAN Techniques for Data Augmentation to Address the Imbalanced Data Issues in Credit Card Fraud Detection
Emilija Strelcenia, Simant Prakoonwit
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 1, pp. 304-329
Open Access | Times Cited: 41
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
Hybrid Neural Network Methods for the Detection of Credit Card Fraud
Mahmoud Ahmad Al‐Khasawneh, Muhammad Faheem, Deema Mohammed Alsekait, et al.
Security and Privacy (2025) Vol. 8, Iss. 1
Closed Access | Times Cited: 3
Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage
Zhuohang Li, Jiaxin Zhang, Luyang Liu, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2022), pp. 10122-10132
Open Access | Times Cited: 64
A Review on Federated Learning and Machine Learning Approaches: Categorization, Application Areas, and Blockchain Technology
Roseline Oluwaseun Ogundokun, Sanjay Misra, Rytis Maskeliūnas, et al.
Information (2022) Vol. 13, Iss. 5, pp. 263-263
Open Access | Times Cited: 44
Towards Efficient and Stable K-Asynchronous Federated Learning With Unbounded Stale Gradients on Non-IID Data
Zihao Zhou, Yanan Li, Xuebin Ren, et al.
IEEE Transactions on Parallel and Distributed Systems (2022) Vol. 33, Iss. 12, pp. 3291-3305
Open Access | Times Cited: 38
A survey on location and motion tracking technologies, methodologies and applications in precision sports
Jingbin Liu, Gege Huang, Juha Hyyppä, et al.
Expert Systems with Applications (2023) Vol. 229, pp. 120492-120492
Closed Access | Times Cited: 36
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: 11
Synchronizing Object Detection: Applications, Advancements and Existing Challenges
Md. Tanzib Hosain, Asif Zaman, Mushfiqur Rahman Abir, et al.
IEEE Access (2024) Vol. 12, pp. 54129-54167
Open Access | Times Cited: 9
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction
Yanming Yang, Xing Hu, Zhipeng Gao, et al.
IEEE Transactions on Software Engineering (2024) Vol. 50, Iss. 2, pp. 296-321
Closed Access | Times Cited: 8
A Survey on federated learning
Li Li, Yuxi Fan, Kuo‐Yi Lin
2022 IEEE 17th International Conference on Control & Automation (ICCA) (2020), pp. 791-796
Closed Access | Times Cited: 67
FedSGDCOVID: Federated SGD COVID-19 Detection under Local Differential Privacy Using Chest X-ray Images and Symptom Information
Trang-Thi Ho, Khoa-Dang Tran, Yennun Huang
Sensors (2022) Vol. 22, Iss. 10, pp. 3728-3728
Open Access | Times Cited: 34
Federated Learning Empowered Recommendation Model for Financial Consumer Services
Pushpita Chatterjee, Debashis Das, Danda B. Rawat
IEEE Transactions on Consumer Electronics (2023) Vol. 70, Iss. 1, pp. 2508-2516
Closed Access | Times Cited: 16
Federated Learning for Credit Risk Assessment
Marc Goutier, Christopher Diebel, Martin Adam, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2024)
Open Access | Times Cited: 7
Detecting Frauds and Payment Defaults on Credit Card Data Inherited With Imbalanced Class Distribution and Overlapping Class Problems: A Systematic Review
Suraya Nurain Kalid, Kok–Chin Khor, Keng-Hoong Ng, et al.
IEEE Access (2024) Vol. 12, pp. 23636-23652
Open Access | Times Cited: 6
StarFL: Hybrid Federated Learning Architecture for Smart Urban Computing
Anbu Huang, Yang Liu, Tianjian Chen, et al.
ACM Transactions on Intelligent Systems and Technology (2021) Vol. 12, Iss. 4, pp. 1-23
Closed Access | Times Cited: 37
Failure prediction in production line based on federated learning: an empirical study
Ning Ge, Guanghao Li, Li Zhang, et al.
Journal of Intelligent Manufacturing (2021) Vol. 33, Iss. 8, pp. 2277-2294
Closed Access | Times Cited: 36
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions
Thippa Reddy Gadekallu, Quoc‐Viet Pham, Thien Huynh‐The, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 33
GradMA: A Gradient-Memory-based Accelerated Federated Learning with Alleviated Catastrophic Forgetting
Kangyang Luo, Xiang Li, Yunshi Lan, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2023) Vol. 114, pp. 3708-3717
Open Access | Times Cited: 15
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