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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:

Applications of Federated Learning; Taxonomy, Challenges, and Research Trends
Momina Shaheen, Muhammad Shoaib Farooq, T. Umer, et al.
Electronics (2022) Vol. 11, Iss. 4, pp. 670-670
Open Access | Times Cited: 94

Showing 26-50 of 94 citing articles:

Federated Edge Intelligence and Edge Caching Mechanisms
Aristeidis Karras, Christos Karras, Konstantinos C. Giotopoulos, et al.
Information (2023) Vol. 14, Iss. 7, pp. 414-414
Open Access | Times Cited: 12
Fighting Insurance Fraud with Hybrid AI/ML Models: Discuss the Potential for Combining Approaches for Improved Insurance Fraud Detection
Venkata Ramana Saddi, Bhagawan Gnanapa, Swetha Boddu, et al.
(2023), pp. 01-06
Closed Access | Times Cited: 10
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks
Nikolaos Koursioumpas, Lina Magoula, Nikolaos Petropouleas, et al.
IEEE Transactions on Green Communications and Networking (2024) Vol. 8, Iss. 4, pp. 1862-1874
Closed Access | Times Cited: 3
Comparative analysis of open-source federated learning frameworks - a literature-based survey and review
Pascal Riedel, Lukas Schick, Reinhold von Schwerin, et al.
International Journal of Machine Learning and Cybernetics (2024) Vol. 15, Iss. 11, pp. 5257-5278
Open Access | Times Cited: 3
Fed2A: Federated Learning Mechanism in Asynchronous and Adaptive Modes
Sheng Liu, Qiyang Chen, Linlin You
Electronics (2022) Vol. 11, Iss. 9, pp. 1393-1393
Open Access | Times Cited: 17
Federated Learning for Condition Monitoring of Industrial Processes: A Review on Fault Diagnosis Methods, Challenges, and Prospects
Tarek Berghout, Mohamed Benbouzid, Toufik Bentrcia, et al.
Electronics (2022) Vol. 12, Iss. 1, pp. 158-158
Open Access | Times Cited: 17
Asynchronous and Synchronous Federated Learning-based UAVs
Itika Sharma, Ayushe Sharma, Sachin Kumar Gupta
(2023), pp. 105-109
Closed Access | Times Cited: 9
SFL-MDrone: Synchronous federated learning enabled multi drones
Itika Sharma, Sachin Kumar Gupta
Journal of Intelligent & Fuzzy Systems (2024) Vol. 46, Iss. 4, pp. 8543-8562
Closed Access | Times Cited: 3
Effectiveness of Decentralized Federated Learning Algorithms in Healthcare: A Case Study on Cancer Classification
Malliga Subramanian, Vani Rajasekar, V E Sathishkumar, et al.
Electronics (2022) Vol. 11, Iss. 24, pp. 4117-4117
Open Access | Times Cited: 15
Space-Air-Ground Integrated Network for Disaster Management: Systematic Literature Review
Muhammad Junaid Anjum, Tayyaba Anees, Fatima Tariq, et al.
Applied Computational Intelligence and Soft Computing (2023) Vol. 2023, pp. 1-20
Open Access | Times Cited: 8
DFedSN: Decentralized federated learning based on heterogeneous data in social networks
Yikuan Chen, Liang Li, Wei Gao
World Wide Web (2023) Vol. 26, Iss. 5, pp. 2545-2568
Closed Access | Times Cited: 7
Synchronous Federated Learning based Multi Unmanned Aerial Vehicles for Secure Applications
Itika Sharma, Sachin Kumar Gupta, Ashutosh Mishra, et al.
Scalable Computing Practice and Experience (2023) Vol. 24, Iss. 3, pp. 191-201
Open Access | Times Cited: 7
Advancing Pandemic Preparedness in Healthcare 5.0: A Survey of Federated Learning Applications
Saeed Hamood Alsamhi, Ammar Hawbani, Alexey V. Shvetsov, et al.
Advances in Human-Computer Interaction (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 7
Privacy-Preserving Computing in the Healthcare Using Federated Learning
Sangeen Khan
Advances in marketing, customer relationship management, and e-services book series (2024), pp. 263-280
Closed Access | Times Cited: 2
Efficient Classification of SARS-CoV-2 Spike Sequences Using Federated Learning
Prakash Chourasia, Taslim Murad, Zahra Tayebi, et al.
Communications in computer and information science (2024), pp. 80-96
Closed Access | Times Cited: 2
Federated Multi-Label Learning (FMLL): Innovative Method for Classification Tasks in Animal Science
Bita Ghasemkhani, Özlem Varlıklar, Yunus Doğan, et al.
Animals (2024) Vol. 14, Iss. 14, pp. 2021-2021
Open Access | Times Cited: 2
A Systematic Review on Federated Learning in Edge-Cloud Continuum
Sambit Kumar Mishra, Subham Sahoo, Chinmaya Kumar Swain
SN Computer Science (2024) Vol. 5, Iss. 7
Closed Access | Times Cited: 2
A Beginner's Guide to Federated Learning
G. Pradeep Reddy, Y. V. Pavan Kumar
(2023), pp. 557-562
Closed Access | Times Cited: 6
Security and privacy in federated learning: A survey
Dasaradharami Reddy Kandati, S Anusha
Trends in Computer Science and Information Technology (2023) Vol. 8, Iss. 2, pp. 029-037
Open Access | Times Cited: 6
Optimizing Fenugreek Leaf Disease Detection: An Exploration of Federated Learning with CNN
Shiva Mehta, Vinay Kukreja, Vikrant Sharma, et al.
2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT) (2023)
Closed Access | Times Cited: 6
Reduction in Data Imbalance for Client-Side Training in Federated Learning for the Prediction of Stock Market Prices
Momina Shaheen, Muhammad Shoaib Farooq, T. Umer
Journal of Sensor and Actuator Networks (2023) Vol. 13, Iss. 1, pp. 1-1
Open Access | Times Cited: 6
Agricultural Insights Through Federated Learning CNN: A Case Study on Jackfruit Leaf Disease
Ankita Suryavanshi, Vinay Kukreja, Dibyahash Bordoloi, et al.
(2023), pp. 36-42
Closed Access | Times Cited: 6
Role of federated learning in healthcare systems: A survey
Neeta Rana, Hitesh Marwaha
Mathematical Foundations of Computing (2023) Vol. 7, Iss. 4, pp. 459-484
Open Access | Times Cited: 5
Wheat Disease Severity Assessment Using Federated Learning CNNs for Agriculture Transformation
H.K. Narang, Rishabh Saklani, Karan Purohit, et al.
(2023), pp. 938-943
Closed Access | Times Cited: 4
SIM+: A comprehensive implementation-agnostic information model assisting AI-driven optimization for beyond 5G networks
Lina Magoula, Nikolaos Koursioumpas, Theodora Panagea, et al.
Computer Networks (2024) Vol. 240, pp. 110190-110190
Closed Access | Times Cited: 1

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