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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:

FEEL: A Federated Edge Learning System for Efficient and Privacy-Preserving Mobile Healthcare
Yeting Guo, Fang Liu, Zhiping Cai, et al.
(2020), pp. 1-11
Closed Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Federated Learning for Internet of Things: A Comprehensive Survey
Dinh C. Nguyen, Ming Ding, Pubudu N. Pathirana, et al.
IEEE Communications Surveys & Tutorials (2021) Vol. 23, Iss. 3, pp. 1622-1658
Open Access | Times Cited: 788
New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Internet of Medical Things for Smart Cities
M. M. Kamruzzaman, Ibrahim Alrashdi, Ali Alqazzaz
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 59
DEEP-FEL: Decentralized, Efficient and Privacy-Enhanced Federated Edge Learning for Healthcare Cyber Physical Systems
Zhuotao Lian, Qinglin Yang, Weizheng Wang, et al.
IEEE Transactions on Network Science and Engineering (2022) Vol. 9, Iss. 5, pp. 3558-3569
Closed Access | Times Cited: 56
LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing
Zhuangzhuang Zhang, Libing Wu, Chuanguo Ma, et al.
IEEE Transactions on Information Forensics and Security (2022) Vol. 18, pp. 365-379
Closed Access | Times Cited: 47
Adoption of Federated Learning for Healthcare Informatics: Emerging Applications and Future Directions
Vishwa Amitkumar Patel, Pronaya Bhattacharya, Sudeep Tanwar, et al.
IEEE Access (2022) Vol. 10, pp. 90792-90826
Open Access | Times Cited: 38
A systematic review of privacy-preserving methods deployed with blockchain and federated learning for the telemedicine
Madhuri Hiwale, Rahee Walambe, Vidyasagar Potdar, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100192-100192
Open Access | Times Cited: 32
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
A Review of Privacy and Security of Edge Computing in Smart Healthcare Systems: Issues, Challenges, and Research Directions
Ahmad Alzu’bi, Alaa Alomar, Shahed Alkhaza’leh, et al.
Tsinghua Science & Technology (2024) Vol. 29, Iss. 4, pp. 1152-1180
Open Access | Times Cited: 12
A Lightweight Neural Network Model for Disease Risk Prediction in Edge Intelligent Computing Architecture
Feng Zhou, Shijing Hu, Xin Du, et al.
Future Internet (2024) Vol. 16, Iss. 3, pp. 75-75
Open Access | Times Cited: 9
Fine-Grained Data Selection for Improved Energy Efficiency of Federated Edge Learning
Abdullatif Albaseer, Mohamed Abdallah, Ala Al‐Fuqaha, et al.
IEEE Transactions on Network Science and Engineering (2021) Vol. 9, Iss. 5, pp. 3258-3271
Open Access | Times Cited: 50
Battery-constrained federated edge learning in UAV-enabled IoT for B5G/6G networks
Shunpu Tang, Wenqi Zhou, Lunyuan Chen, et al.
Physical Communication (2021) Vol. 47, pp. 101381-101381
Open Access | Times Cited: 43
New Opportunities, Challenges, and Applications of Edge-AI for Connected Healthcare in Smart Cities
M. M. Kamruzzaman
2022 IEEE Globecom Workshops (GC Wkshps) (2021), pp. 1-6
Closed Access | Times Cited: 41
Applications of Federated Learning in Mobile Health: Scoping Review
Tongnian Wang, Yan Du, Yanmin Gong, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e43006-e43006
Open Access | Times Cited: 18
Recent methodological advances in federated learning for healthcare
Fan Zhang, Daniel Kreuter, Yi‐Chen Chen, et al.
Patterns (2024) Vol. 5, Iss. 6, pp. 101006-101006
Open Access | Times Cited: 5
Edge artificial intelligence for big data: a systematic review
Atefeh Hemmati, Parisa Raoufi, Amir Masoud Rahmani
Neural Computing and Applications (2024) Vol. 36, Iss. 19, pp. 11461-11494
Closed Access | Times Cited: 5
Critical Retrospection of Performance of Emerging Mobile Technologies in Health Data Management
Sonali Vyas, Deepshikha Bhargava, Jyoti Bhola, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 20
Selecting Privacy-Enhancing Technologies for Managing Health Data Use
Sara R. Jordan, C. Fontaine, Rachele Hendricks‐Sturrup
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 19
Privacy vs. Efficiency: Achieving Both Through Adaptive Hierarchical Federated Learning
Yeting Guo, Fang Liu, Tongqing Zhou, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 4, pp. 1331-1342
Closed Access | Times Cited: 7
FedCav: Contribution-aware Model Aggregation on Distributed Heterogeneous Data in Federated Learning
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2021)
Closed Access | Times Cited: 15
An ensemble of random decision trees with local differential privacy in edge computing
Xiaotong Wu, Lianyong Qi, Jiaquan Gao, et al.
Neurocomputing (2021) Vol. 485, pp. 181-195
Closed Access | Times Cited: 15
EESaver: Saving Energy Dynamically for Green Multi-Access Edge Computing
Guangming Cui, Qiang He, Xiaoyu Xia, et al.
IEEE Transactions on Parallel and Distributed Systems (2023) Vol. 34, Iss. 7, pp. 2155-2166
Closed Access | Times Cited: 5
Semantic-Level New Information Identification in Electronic Health Records Using Text-Mining Techniques
Aycan Aslan, Tizian Matschak, Maike Greve, et al.
Proceedings of the ... Annual Hawaii International Conference on System Sciences/Proceedings of the Annual Hawaii International Conference on System Sciences (2023)
Open Access | Times Cited: 3
Advanced AI Approaches for Detailed Examination of Individuals Prone to Nightly Respiratory Challenges Using Medical Records
Dharmesh Kumar Srivastava, Suphiya Parveen, D. Yadav
(2023), pp. 1-6
Closed Access | Times Cited: 2
RTGA: Robust ternary gradients aggregation for federated learning
Chengang Yang, Danyang Xiao, Bokai Cao, et al.
Information Sciences (2022) Vol. 616, pp. 427-443
Closed Access | Times Cited: 3
Towards Value-Sensitive and Poisoning-Proof Model Aggregation for Federated Learning on Heterogeneous Data
Hui Zeng, Tongqing Zhou, Yeting Guo, et al.
(2024)
Closed Access
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