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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:

Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey
Wael Issa, Nour Moustafa, Benjamin Turnbull, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 9, pp. 1-43
Closed Access | Times Cited: 176

Showing 1-25 of 176 citing articles:

Federated learning for smart cities: A comprehensive survey
Sharnil Pandya, Gautam Srivastava, Rutvij H. Jhaveri, et al.
Sustainable Energy Technologies and Assessments (2022) Vol. 55, pp. 102987-102987
Open Access | Times Cited: 171
Unveiling security, privacy, and ethical concerns of ChatGPT
Xiaodong Wu, Ran Duan, Jianbing Ni
Journal of Information and Intelligence (2023) Vol. 2, Iss. 2, pp. 102-115
Open Access | Times Cited: 132
Machine learning techniques for IoT security: Current research and future vision with generative AI and large language models
Fatima Alwahedi, Alyazia Aldhaheri, Mohamed Amine Ferrag, et al.
Internet of Things and Cyber-Physical Systems (2024) Vol. 4, pp. 167-185
Open Access | Times Cited: 70
The Personal Health Applications of Machine Learning Techniques in the Internet of Behaviors
Zahra Mohtasham‐Amiri, Arash Heidari, Mehdi Darbandi, et al.
Sustainability (2023) Vol. 15, Iss. 16, pp. 12406-12406
Open Access | Times Cited: 61
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning
Zhilin Wang, Qin Hu, Ruinian Li, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 5, pp. 1536-1547
Open Access | Times Cited: 53
A decade of research in fog computing: Relevance, challenges, and future directions
Satish Narayana Srirama
Software Practice and Experience (2023) Vol. 54, Iss. 1, pp. 3-23
Open Access | Times Cited: 51
Security in internet of things: a review on approaches based on blockchain, machine learning, cryptography, and quantum computing
Sarra Cherbal, Abdelhak Zier, Sara Hebal, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 3, pp. 3738-3816
Closed Access | Times Cited: 49
Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, et al.
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 22
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges, and Future Directions
Houda Hafi, Bouziane Brik, Pantelis A. Frangoudis, et al.
IEEE Access (2024) Vol. 12, pp. 9890-9930
Open Access | Times Cited: 18
Federated Learning for IoT: A Survey of Techniques, Challenges, and Applications
Ηλίας Δρίτσας, Μαρία Τρίγκα
Journal of Sensor and Actuator Networks (2025) Vol. 14, Iss. 1, pp. 9-9
Open Access | Times Cited: 5
Advancements in securing federated learning with IDS: a comprehensive review of neural networks and feature engineering techniques for malicious client detection
Naila Latif, Wenping Ma, Hafiz Bilal Ahmad
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access | Times Cited: 2
PPFchain: A novel framework privacy-preserving blockchain-based federated learning method for sensor networks
Bora Buğra Sezer, Hasret Turkmen, Urfat Nurıyev
Internet of Things (2023) Vol. 22, pp. 100781-100781
Closed Access | Times Cited: 42
Cybersecurity for Blockchain-Based IoT Systems: A Review
Razan Alajlan, Norah Alhumam, Mounir Frikha
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7432-7432
Open Access | Times Cited: 32
Federated learning for 6G-enabled secure communication systems: a comprehensive survey
Deepika Sirohi, Neeraj Kumar, Prashant Singh Rana, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11297-11389
Open Access | Times Cited: 30
A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: Problems, challenges and solutions
Olusogo Popoola, Marcos Rodrigues, Jims Marchang, et al.
Blockchain Research and Applications (2023) Vol. 5, Iss. 2, pp. 100178-100178
Open Access | Times Cited: 26
Privacy-preserving in Blockchain-based Federated Learning systems
Sameera K.M., Serena Nicolazzo, Marco Arazzi, et al.
Computer Communications (2024) Vol. 222, pp. 38-67
Open Access | Times Cited: 17
IoT convergence with machine learning & blockchain: A review
Elham Fazel, Mahmoud Zahedian Nezhad, Javad Rezazadeh, et al.
Internet of Things (2024) Vol. 26, pp. 101187-101187
Closed Access | Times Cited: 14
Robust integration of blockchain and explainable federated learning for automated credit scoring
Zorka Jovanovic, Zhé Hóu, Kamanashis Biswas, et al.
Computer Networks (2024) Vol. 243, pp. 110303-110303
Open Access | Times Cited: 11
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey
Yanna Jiang, Baihe Ma, Xu Wang, et al.
ACM Computing Surveys (2024) Vol. 56, Iss. 10, pp. 1-37
Open Access | Times Cited: 11
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: 11
Tides of Blockchain in IoT Cybersecurity
Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Dong‐Seong Kim
Sensors (2024) Vol. 24, Iss. 10, pp. 3111-3111
Open Access | Times Cited: 9
T-BFL model based on two-dimensional trust and blockchain-federated learning for medical data sharing
Rong Jiang, Hejiao Zhang, Zhiming Song, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access | Times Cited: 1
Efficient Collaborative Learning in the Industrial IoT Using Federated Learning and Adaptive Weighting Based on Shapley Values
Dost Muhammad Saqib Bhatti, Mazhar Ali, Junyong Yoon, et al.
Sensors (2025) Vol. 25, Iss. 3, pp. 969-969
Open Access | Times Cited: 1
Edge Learning for 6G-Enabled Internet of Things: A Comprehensive Survey of Vulnerabilities, Datasets, and Defenses
Mohamed Amine Ferrag, Othmane Friha, Burak Kantarcı, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2654-2713
Open Access | Times Cited: 23
Boosted federated learning based on improved Particle Swarm Optimization for healthcare IoT devices
Essam H. Houssein, Awny Sayed
Computers in Biology and Medicine (2023) Vol. 163, pp. 107195-107195
Closed Access | Times Cited: 22
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