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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:

Trustworthy Federated Learning via Blockchain
Zhanpeng Yang, Yuanming Shi, Yong Zhou, et al.
IEEE Internet of Things Journal (2022) Vol. 10, Iss. 1, pp. 92-109
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

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: 50
Decentralized Federated Learning: A Survey and Perspective
Liangqi Yuan, Ziran Wang, Lichao Sun, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34617-34638
Open Access | Times Cited: 28
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: 18
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: 13
AI explainability and governance in smart energy systems: A review
Roba Alsaigh, Rashid Mehmood, Iyad Katib
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 26
Efficient data transmission on wireless communication through a privacy-enhanced blockchain process
Rajanikanth Aluvalu, Senthil Kumaran V. N., T. Manikandan, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1308-e1308
Open Access | Times Cited: 23
A Novel Short-Term Traffic Prediction Model Based on SVD and ARIMA With Blockchain in Industrial Internet of Things
Ying Miao, Xiuhong Bai, Yuxuan Cao, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21217-21226
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: 8
A Survey on Intelligent Internet of Things: Applications, Security, Privacy, and Future Directions
Ons Aouedi, Thai-Hoc Vu, Alessio Sacco, et al.
IEEE Communications Surveys & Tutorials (2024), pp. 1-1
Open Access | Times Cited: 8
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: 6
Blockchain-Based Privacy-Enhancing Federated Learning in Smart Healthcare: A Survey
Zounkaraneni Ngoupayou Limbepe, Keke Gai, Jing Yu
Blockchains (2025) Vol. 3, Iss. 1, pp. 1-1
Open Access
Editorial: Protecting privacy in neuroimaging analysis: balancing data sharing and privacy preservation
Rashid Mehmood, Mariana Lazar, Xiaohui Liang, et al.
Frontiers in Neuroinformatics (2025) Vol. 18
Open Access
A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM
Shuroog Alsaleh, Mohamed El Bachir Menaï, Saad Al-Ahmadi
Sensors (2025) Vol. 25, Iss. 4, pp. 1039-1039
Open Access
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-Constrained Computing
Ervin Moore, Ahmed Imteaj, Shabnam Rezapour, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21942-21958
Open Access | Times Cited: 15
Blockchain-Inspired Collaborative Cyber-Attacks Detection for Securing Metaverse
Ahmad Zainudin, Made Adi Paramartha Putra, Revin Naufal Alief, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 10, pp. 18221-18236
Closed Access | Times Cited: 5
Federated Reinforcement Learning in IoT: Applications, Opportunities and Open Challenges
Euclides Carlos Pinto Neto, Somayeh Sadeghi, Xichen Zhang, et al.
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6497-6497
Open Access | Times Cited: 13
TORR: A Lightweight Blockchain for Decentralized Federated Learning
Xuyang Ma, Du Xu
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 1, pp. 1028-1040
Closed Access | Times Cited: 12
A verifiable and privacy-preserving blockchain-based federated learning approach
Irshad Ullah, Xiaoheng Deng, Xinjun Pei, et al.
Peer-to-Peer Networking and Applications (2023) Vol. 16, Iss. 5, pp. 2256-2270
Closed Access | Times Cited: 12
BC4LLM: A perspective of trusted artificial intelligence when blockchain meets large language models
Haoxiang Luo, Jian Luo, Athanasios V. Vasilakos
Neurocomputing (2024) Vol. 599, pp. 128089-128089
Closed Access | Times Cited: 3
Building Trusted Federated Learning: Key Technologies and Challenges
Depeng Chen, Jiang Xiao, Hong Zhong, et al.
Journal of Sensor and Actuator Networks (2023) Vol. 12, Iss. 1, pp. 13-13
Open Access | Times Cited: 10
TruFLaaS: Trustworthy Federated Learning as a Service
Carlo Mazzocca, Nicolò Romandini, Matteo Mendula, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 24, pp. 21266-21281
Open Access | Times Cited: 10
Blockchain-Based Trusted Federated Learning with Pre-Trained Models for COVID-19 Detection
Genqing Bian, Wenjing Qu, Bilin Shao
Electronics (2023) Vol. 12, Iss. 9, pp. 2068-2068
Open Access | Times Cited: 8
Privacy-Preserving Federated Learning With Resource-Adaptive Compression for Edge Devices
Muhammad Ayat Hidayat, Yugo Nakamura, Yutaka Arakawa
IEEE Internet of Things Journal (2023) Vol. 11, Iss. 8, pp. 13180-13198
Closed Access | Times Cited: 7
Enhancing Efficiency in Privacy-preserving Federated Learning for Healthcare : Adaptive Gaussian Clipping with DFT Aggregator
Muhammad Ayat Hidayat, Yugo Nakamura, Yutaka Arakawa
IEEE Access (2024) Vol. 12, pp. 88445-88457
Open Access | Times Cited: 1
Trustworthy Federated Learning: A Comprehensive Review, Architecture, Key Challenges, and Future Research Prospects
Asadullah Tariq, Mohamed Adel Serhani, Farag Sallabi, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 4920-4998
Open Access | Times Cited: 1
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