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:

Federated Learning for Internet of Things: Recent Advances, Taxonomy, and Open Challenges
Latif U. Khan, Walid Saad, Zhu Han, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 3, pp. 1759-1799
Open Access | Times Cited: 556

Showing 1-25 of 556 citing articles:

Federated Learning for Smart Healthcare: A Survey
Dinh C. Nguyen, Quoc‐Viet Pham, Pubudu N. Pathirana, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 3, pp. 1-37
Open Access | Times Cited: 386

A survey on the adoption of blockchain in IoT: challenges and solutions
Md Ashraf Uddin, Andrew Stranieri, Iqbal Gondal, et al.
Blockchain Research and Applications (2021) Vol. 2, Iss. 2, pp. 100006-100006
Open Access | Times Cited: 285

Recent Advances on Federated Learning for Cybersecurity and Cybersecurity for Federated Learning for Internet of Things
Bimal Ghimire, Danda B. Rawat
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 11, pp. 8229-8249
Open Access | Times Cited: 285

Privacy-preserving artificial intelligence in healthcare: Techniques and applications
Nazish Khalid, Adnan Qayyum, Muhammad Bilal, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106848-106848
Open Access | Times Cited: 212

Secure and Provenance Enhanced Internet of Health Things Framework: A Blockchain Managed Federated Learning Approach
Md. Abdur Rahman, M. Shamim Hossain, Mohammad Saiful Islam, et al.
IEEE Access (2020) Vol. 8, pp. 205071-205087
Open Access | Times Cited: 209

Fusion of Federated Learning and Industrial Internet of Things: A survey
M. Parimala, Swarna Priya Ramu, Quoc‐Viet Pham, et al.
Computer Networks (2022) Vol. 212, pp. 109048-109048
Open Access | Times Cited: 187

Federated Learning in Edge Computing: A Systematic Survey
Haftay Gebreslasie Abreha, Mohammad Hayajneh, Mohamed Adel Serhani
Sensors (2022) Vol. 22, Iss. 2, pp. 450-450
Open Access | Times Cited: 173

Machine Learning Techniques for 5G and Beyond
Jasneet Kaur, M. Arif Khan, Mohsin Iftikhar, et al.
IEEE Access (2021) Vol. 9, pp. 23472-23488
Open Access | Times Cited: 170

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: 170

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2271-2311
Open Access | Times Cited: 168

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: 168

Security and Privacy-Enhanced Federated Learning for Anomaly Detection in IoT Infrastructures
Lei Cui, Youyang Qu, Gang Xie, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 18, Iss. 5, pp. 3492-3500
Closed Access | Times Cited: 159

Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Latif U. Khan, Zhu Han, Walid Saad, et al.
IEEE Communications Surveys & Tutorials (2022) Vol. 24, Iss. 4, pp. 2230-2254
Open Access | Times Cited: 154

Blockchain-enabled Federated Learning: A Survey
Youyang Qu, Md Palash Uddin, Chenquan Gan, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 4, pp. 1-35
Open Access | Times Cited: 142

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges
Enrique Tomás Martínez Beltrán, Mario Quiles Pérez, Pedro Miguel Sánchez Sánchez, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 25, Iss. 4, pp. 2983-3013
Closed Access | Times Cited: 142

Integration of blockchain and federated learning for Internet of Things: Recent advances and future challenges
Mansoor Ali, Hadis Karimipour, Muhammad Adnan Tariq
Computers & Security (2021) Vol. 108, pp. 102355-102355
Closed Access | Times Cited: 134

Federated Learning for Privacy Preservation in Smart Healthcare Systems: A Comprehensive Survey
Mansoor Ali, Faisal Naeem, Muhammad Tariq, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 778-789
Open Access | Times Cited: 131

Asynchronous federated learning on heterogeneous devices: A survey
Chenhao Xu, Youyang Qu, Yong Xiang, et al.
Computer Science Review (2023) Vol. 50, pp. 100595-100595
Open Access | Times Cited: 131

Edge Computing for Internet of Everything: A Survey
Xiangjie Kong, Yuhan Wu, Hui Wang, et al.
IEEE Internet of Things Journal (2022) Vol. 9, Iss. 23, pp. 23472-23485
Closed Access | Times Cited: 129

Intelligent Computing: The Latest Advances, Challenges, and Future
Shiqiang Zhu, Ting Yu, Tao Xu, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 127

Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye, Xiuwen Fang, Bo Du, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 3, pp. 1-44
Open Access | Times Cited: 127

Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular Communications and Networking
Junhua Wang, Kun Zhu, Ekram Hossain
IEEE Transactions on Green Communications and Networking (2021) Vol. 6, Iss. 1, pp. 391-423
Open Access | Times Cited: 117

Privacy-Preserving Federated Learning Using Homomorphic Encryption
Jaehyoung Park, Hyuk Lim
Applied Sciences (2022) Vol. 12, Iss. 2, pp. 734-734
Open Access | Times Cited: 114

Model aggregation techniques in federated learning: A comprehensive survey
Pian Qi, Diletta Chiaro, Antonella Guzzo, et al.
Future Generation Computer Systems (2023) Vol. 150, pp. 272-293
Open Access | Times Cited: 109

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