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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:

Security and Privacy Threats to Federated Learning: Issues, Methods, and Challenges
Junpeng Zhang, Hui Zhu, Fengwei Wang, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-24
Open Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

The Impact of Adversarial Attacks on Federated Learning: A Survey
K. Naveen Kumar, C. Krishna Mohan, Linga Reddy Cenkeramaddi
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 5, pp. 2672-2691
Closed Access | Times Cited: 58
Malware detection for mobile computing using secure and privacy-preserving machine learning approaches: A comprehensive survey
Faria Nawshin, Radwa Gad, Devrim Ünal, et al.
Computers & Electrical Engineering (2024) Vol. 117, pp. 109233-109233
Open Access | Times Cited: 12
A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges
Yifei Zhang, Dun Zeng, Jinglong Luo, et al.
ACM Transactions on Intelligent Systems and Technology (2024) Vol. 15, Iss. 6, pp. 1-47
Closed Access | Times Cited: 10
A Survey of Security Strategies in Federated Learning: Defending Models, Data, and Privacy
Habib Ullah Manzoor, Attia Shabbir, Ao Chen, et al.
Future Internet (2024) Vol. 16, Iss. 10, pp. 374-374
Open Access | Times Cited: 9
FLIBD: A Federated Learning-Based IoT Big Data Management Approach for Privacy-Preserving over Apache Spark with FATE
Aristeidis Karras, Αναστάσιος Γιάνναρος, Leonidas Theodorakopoulos, et al.
Electronics (2023) Vol. 12, Iss. 22, pp. 4633-4633
Open Access | Times Cited: 19
Transforming educational insights: strategic integration of federated learning for enhanced prediction of student learning outcomes
Umer Farooq, Shahid Naseem, Tariq Mahmood, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 11, pp. 16334-16367
Closed Access | Times Cited: 7
Federated Learning Attacks and Defenses: A Survey
Yao Chen, Yijie Gui, Honghuang Lin, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 4256-4265
Open Access | Times Cited: 23
Securing the collective intelligence: a comprehensive review of federated learning security attacks and defensive strategies
Vishal Kaushal, Sangeeta Sharma
Knowledge and Information Systems (2025)
Closed Access
Privacy-Preservation for Federated Learning: Survey and Future Directions
Deepti Saraswat, Tushar Mali, Anand K. Verma, et al.
Communications in computer and information science (2025), pp. 311-325
Closed Access
Privacy-preserving cross-network service recommendation via federated learning of unified user representations
Mouna Ayadi, Haithem Mezni, Hela Elmannai, et al.
Data & Knowledge Engineering (2025), pp. 102422-102422
Closed Access
PIN: Application-level Consensus for Blockchain-based Artificial Intelligence Frameworks
Tannishtha Devgun, Rahul Saha, Gulshan Kumar, et al.
ACM Transactions on Intelligent Systems and Technology (2025)
Open Access
Synthetic data generation: a privacy-preserving approach to accelerate rare disease research
Jorge M. Mendes, Aziz Barbar, Marwa Refaie
Frontiers in Digital Health (2025) Vol. 7
Open Access
Federated Learning Based Privacy Ensured Sensor Communication in IoT Networks: A Taxonomy, Threats and Attacks
Sheikh Imroza Manzoor, Sanjeev Jain, Yashwant Singh, et al.
IEEE Access (2023) Vol. 11, pp. 42248-42275
Open Access | Times Cited: 11
Proof-of-authority-based secure and efficient aggregation with differential privacy for federated learning in industrial IoT
Made Adi Paramartha Putra, Revin Naufal Alief, Syifa Maliah Rachmawati, et al.
Internet of Things (2024) Vol. 25, pp. 101107-101107
Closed Access | Times Cited: 4
Centralised vs. Decentralised Federated Load Forecasting: Who Holds the Key to Adversarial Attack Robustness?
Habib Ullah Manzoor, Sajjad Hussain, David Flynn, et al.
(2024)
Open Access | Times Cited: 4
Unleashing the prospective of blockchain-federated learning fusion for IoT security: A comprehensive review
Mansi Gupta, Mohit Kumar, Renu Dhir
Computer Science Review (2024) Vol. 54, pp. 100685-100685
Closed Access | Times Cited: 4
Data Governance in Metaverse: Addressing Security Threats and Countermeasures Across the Data Lifecycle
Maedeh Mosharraf
Technology in Society (2025), pp. 102910-102910
Closed Access
A Survey on Attacks and Their Countermeasures in Deep Learning: Applications in Deep Neural Networks, Federated, Transfer, and Deep Reinforcement Learning
Haider Ali, Dian Chen, Matthew Harrington, et al.
IEEE Access (2023) Vol. 11, pp. 120095-120130
Open Access | Times Cited: 10
Centralised vs. decentralised federated load forecasting in smart buildings: Who holds the key to adversarial attack robustness?
Habib Ullah Manzoor, Sajjad Hussain, David Flynn, et al.
Energy and Buildings (2024) Vol. 324, pp. 114871-114871
Open Access | Times Cited: 3
The Role of Information and Communication Technology in Interactive Learning
Hafiz Elmi, Ambiyar Ambiyar, Yasdinul Huda, et al.
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) (2024) Vol. 23, Iss. 1, pp. 193-193
Open Access | Times Cited: 2
NSPFL: A Novel Secure and Privacy-Preserving Federated Learning With Data Integrity Auditing
Zehu Zhang, Yanping Li
IEEE Transactions on Information Forensics and Security (2024) Vol. 19, pp. 4494-4506
Closed Access | Times Cited: 2
A survey on privacy-preserving federated learning against poisoning attacks
Xia Feng, Wenhao Cheng
Cluster Computing (2024) Vol. 27, Iss. 10, pp. 13565-13582
Closed Access | Times Cited: 2
FedMDO: Privacy-preserving Federated Learning via Mixup Differential Objective
Xianyao You, Caiyun Liu, Jun Li, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2024) Vol. 34, Iss. 10, pp. 10449-10463
Closed Access | Times Cited: 1
Double Robust Federated Digital Twin Modeling in Smart Grid
Yang Zhou, Yang Ge, Li Jia
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 24, pp. 39913-39931
Closed Access | Times Cited: 1
MatSwarm: trusted swarm transfer learning driven materials computation for secure big data sharing
Ran Wang, Cheng Xu, Shuhao Zhang, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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