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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:

Defending Against Data Poisoning Attack in Federated Learning With Non-IID Data
Chunyong Yin, Qingkui Zeng
IEEE Transactions on Computational Social Systems (2023) Vol. 11, Iss. 2, pp. 2313-2325
Closed Access | Times Cited: 9

Showing 9 citing articles:

Exploring Threats, Defenses, and Privacy-Preserving Techniques in Federated Learning: A Survey
Ren-Yi Huang, G. Dumindu Samaraweera, J. Morris Chang
Computer (2024) Vol. 57, Iss. 4, pp. 46-56
Closed Access | Times Cited: 6
Federated learning based on dynamic hierarchical game incentives in Industrial Internet of Things
Y. A. Tang, Lina Ni, Jufeng Li, et al.
Advanced Engineering Informatics (2025) Vol. 65, pp. 103214-103214
Closed Access
Analysis of deep learning under adversarial attacks in Hierarchical Federated Learning
Duaa S. Alqattan, Václav Snåšel, Rajiv Ranjan, et al.
High-Confidence Computing (2025), pp. 100321-100321
Open Access
Recent Advancements in Federated Learning: State of the Art, Fundamentals, Principles, IoT Applications and Future Trends
Christos Papadopoulos, Konstantinos-Filippos Kollias, George F. Fragulis
Future Internet (2024) Vol. 16, Iss. 11, pp. 415-415
Open Access | Times Cited: 4
Privacy-Preserving AI Framework for 6G-Enabled Consumer Electronics
Xin Wang, Jianhui Lyu, J. Dinesh Peter, et al.
IEEE Transactions on Consumer Electronics (2024) Vol. 70, Iss. 1, pp. 3940-3950
Closed Access | Times Cited: 1
Adversarial Reinforcement Learning based Data Poisoning Attacks Defense for Task-Oriented Multi-User Semantic Communication
Jincheng Peng, Huanlai Xing, Lexi Xu, et al.
IEEE Transactions on Mobile Computing (2024) Vol. 23, Iss. 12, pp. 14834-14851
Closed Access
FNBench: Benchmarking Robust Federated Learning against Noisy Labels
Xuefeng Jiang, Jia Li, Nannan Wu, et al.
(2024)
Open Access
Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance Analysis
Adam Piaseczny, Eric Ruzomberka, Rohit Parasnis, et al.
IEEE Internet of Things Journal (2024), pp. 1-1
Closed Access
Defending Against Poisoning Attacks in Federated Prototype Learning on Non-IID Data
Jie Zhang, Hongliang Zhang, Guijuan Wang, et al.
Lecture notes in computer science (2024), pp. 63-74
Closed Access
A Secure federated learning framework based on autoencoder and Long Short-Term Memory with generalized robust loss function for detection and prevention of data poisoning attacks
Preeti Singh
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107320-107320
Closed Access
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