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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:

A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods
Naghmeh Khajehali, Jun Yan, Yang-Wai Chow, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7235-7235
Open Access | Times Cited: 13

Showing 13 citing articles:

IoT-Assisted Automatic Driver Drowsiness Detection through Facial Movement Analysis Using Deep Learning and a U-Net-Based Architecture
Shiplu Das, Sanjoy Pratihar, Buddhadeb Pradhan, et al.
Information (2024) Vol. 15, Iss. 1, pp. 30-30
Open Access | Times Cited: 14
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
Small models, big impact: A review on the power of lightweight Federated Learning
Pian Qi, Diletta Chiaro, Francesco Piccialli
Future Generation Computer Systems (2024) Vol. 162, pp. 107484-107484
Open Access | Times Cited: 8
Enhancing medical image classification via federated learning and pre-trained model
Parvathaneni Naga Srinivasu, G. Jaya Lakshmi, Sujatha Canavoy Narahari, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100530-100530
Open Access | Times Cited: 8
Client Selection in Federated Learning: Challenges, Strategies, and Contextual Considerations
Mehreen Tahir, Muhammad Intizar Ali
Studies in computational intelligence (2025), pp. 43-62
Closed Access
Detecting Changeover Events on Manufacturing Machines with Machine Learning and NC data
Bastian Engelmann, Anna-Maria Schmitt, Moritz Heusinger, et al.
Applied Artificial Intelligence (2024) Vol. 38, Iss. 1
Open Access | Times Cited: 2
Federated learning for solar energy applications: A case study on real-time fault detection
Ibtihal Ait Abdelmoula, Hicham Oufettoul, Nassim Lamrini, et al.
Solar Energy (2024) Vol. 282, pp. 112942-112942
Closed Access | Times Cited: 2
Client Selection in Hierarchical Federated Learning
Silvana Trindade, Nelson L. S. da Fonseca
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 17, pp. 28480-28495
Closed Access | Times Cited: 1
Towards next-generation federated learning: A case study on privacy attacks in artificial intelligence systems
Ekta Sharma, Ravinesh C. Deo, Christopher P. Davey, et al.
(2024), pp. 1446-1453
Closed Access | Times Cited: 1
FedAvg-P: Performance-Based Hierarchical Federated Learning-Based Anomaly Detection System Aggregation Strategy for Advanced Metering Infrastructure
Hend Alshede, Kamal Jambi, Laila Nassef, et al.
Sensors (2024) Vol. 24, Iss. 17, pp. 5492-5492
Open Access | Times Cited: 1
Fed-RHLP: Enhancing Federated Learning with Random High-Local Performance Client Selection for Improved Convergence and Accuracy
Pramote Sittijuk, Kreangsak Tamee
Symmetry (2024) Vol. 16, Iss. 9, pp. 1181-1181
Open Access | Times Cited: 1
Strengthening the Security of IoT Devices Through Federated Learning: A Comprehensive Study
Arman Raj, Vandana Sharma, Seema Rani, et al.
2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (2024), pp. 1-5
Closed Access
Enhancing Communication and Comprehension for Individuals with Special Needs through Federated Learning: A Deep Learning Approach
Tharwat Elsayed, Mohamed A. El-Rashidy, Ayman El‐Sayed, et al.
Research Square (Research Square) (2023)
Open Access
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