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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:

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

Showing 1-25 of 134 citing articles:

Federated Deep Learning for Cyber Security in the Internet of Things: Concepts, Applications, and Experimental Analysis
Mohamed Amine Ferrag, Othmane Friha, Λέανδρος Μαγλαράς, et al.
IEEE Access (2021) Vol. 9, pp. 138509-138542
Open Access | Times Cited: 192
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
Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, et al.
Computer Networks (2021) Vol. 203, pp. 108661-108661
Open Access | Times Cited: 142
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
Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions
Juncen Zhu, Jiannong Cao, Divya Saxena, et al.
ACM Computing Surveys (2022) Vol. 55, Iss. 11, pp. 1-31
Closed Access | Times Cited: 133
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
Integration of Blockchain Technology and Federated Learning in Vehicular (IoT) Networks: A Comprehensive Survey
Abdul Rehman Javed, Muhammad Abul Hassan, Faisal Shahzad, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4394-4394
Open Access | Times Cited: 118
FL-PMI: Federated Learning-Based Person Movement Identification through Wearable Devices in Smart Healthcare Systems
K. S. Arikumar, Sahaya Beni Prathiba, Mamoun Alazab, et al.
Sensors (2022) Vol. 22, Iss. 4, pp. 1377-1377
Open Access | Times Cited: 106
Blockchain in construction management: Applications, advantages and limitations
Dena Mahmudnia, Mehrdad Arashpour, Rebecca Yang
Automation in Construction (2022) Vol. 140, pp. 104379-104379
Closed Access | Times Cited: 101
Blockchain and federated learning-based intrusion detection approaches for edge-enabled industrial IoT networks: a survey
Saqib Ali, Qianmu Li, Abdullah Yousafzai
Ad Hoc Networks (2023) Vol. 152, pp. 103320-103320
Closed Access | Times Cited: 60
A Review of Privacy Enhancement Methods for Federated Learning in Healthcare Systems
Xin Gu, Fariza Sabrina, Zongwen Fan, et al.
International Journal of Environmental Research and Public Health (2023) Vol. 20, Iss. 15, pp. 6539-6539
Open Access | Times Cited: 47
IoT Malware Analysis Using Federated Learning: A Comprehensive Survey
Madumitha Venkatasubramanian, Arash Habibi Lashkari, Saqib Hakak
IEEE Access (2023) Vol. 11, pp. 5004-5018
Open Access | Times Cited: 45
Metaverse Communications, Networking, Security, and Applications: Research Issues, State-of-the-Art, and Future Directions
Mansoor Ali, Faisal Naeem, Georges Kaddoum, et al.
IEEE Communications Surveys & Tutorials (2023) Vol. 26, Iss. 2, pp. 1238-1278
Open Access | Times Cited: 43
PPML-Omics: A privacy-preserving federated machine learning method protects patients’ privacy in omic data
Juexiao Zhou, Siyuan Chen, Yulian Wu, et al.
Science Advances (2024) Vol. 10, Iss. 5
Open Access | Times Cited: 17
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: 15
Federated Learning for Edge Computing: A Survey
Alexander Brecko, Erik Kajáti, Jiří Koziorek, et al.
Applied Sciences (2022) Vol. 12, Iss. 18, pp. 9124-9124
Open Access | Times Cited: 62
Handling Privacy-Sensitive Medical Data With Federated Learning: Challenges and Future Directions
Ons Aouedi, Alessio Sacco, Kandaraj Piamrat, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 790-803
Open Access | Times Cited: 61
On the Physical Layer Security of Federated Learning Based IoMT Networks
Junaid Ahmed, Tu N. Nguyen, Bakhtiar Ali, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 691-697
Closed Access | Times Cited: 54
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
Blockchain-Enabled Federated Learning for UAV Edge Computing Network: Issues and Solutions
Chaoyang Zhu, Zhu Xiao, Junyu Ren, et al.
IEEE Access (2022) Vol. 10, pp. 56591-56610
Open Access | Times Cited: 38
A Novel Federated Learning Scheme for Generative Adversarial Networks
Jiaxin Zhang, Liang Zhao, Keping Yu, et al.
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 5, pp. 3633-3649
Open Access | Times Cited: 35
Asynchronous federated learning with directed acyclic graph-based blockchain in edge computing: Overview, design, and challenges
Seoyoung Ko, Keewoo Lee, Hyunhum Cho, et al.
Expert Systems with Applications (2023) Vol. 223, pp. 119896-119896
Closed Access | Times Cited: 25
A survey on federated learning for security and privacy in healthcare applications
Kristtopher K. Coelho, Michele Nogueira, Alex Borges Vieira, et al.
Computer Communications (2023) Vol. 207, pp. 113-127
Closed Access | Times Cited: 23
Decentralized federated learning based on blockchain: concepts, framework, and challenges
Haoran Zhang, Shan Jiang, Shichang Xuan
Computer Communications (2024) Vol. 216, pp. 140-150
Closed Access | Times Cited: 14
Artificial Intelligence of Things (AIoT) for smart agriculture: A review of architectures, technologies and solutions
Dalhatu Muhammed, Ehsan Ahvar, Shohreh Ahvar, et al.
Journal of Network and Computer Applications (2024) Vol. 228, pp. 103905-103905
Open Access | Times Cited: 13
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