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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 1-25 of 94 citing articles:

Federated learning-based AI approaches in smart healthcare: concepts, taxonomies, challenges and open issues
Anichur Rahman, Md. Sazzad Hossain, Ghulam Muhammad, et al.
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2271-2311
Open Access | Times Cited: 163
Computing in the Sky: A Survey on Intelligent Ubiquitous Computing for UAV-Assisted 6G Networks and Industry 4.0/5.0
Saeed Hamood Alsamhi, Alexey V. Shvetsov, Santosh Kumar, et al.
Drones (2022) Vol. 6, Iss. 7, pp. 177-177
Open Access | Times Cited: 89
Transforming Agriculture : Federated Learning CNNs for Wheat Disease Severity Assessment
Shiva Mehta, Vinay Kukreja, Amit Gupta
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2023), pp. 792-797
Closed Access | Times Cited: 57
A systematic review of federated learning: Challenges, aggregation methods, and development tools
Souhila Badra Guendouzi, Samir Ouchani, Hiba EL Assaad, et al.
Journal of Network and Computer Applications (2023) Vol. 220, pp. 103714-103714
Closed Access | Times Cited: 48
A comprehensive review on federated learning based models for healthcare applications
Shagun Sharma, Kalpna Guleria
Artificial Intelligence in Medicine (2023) Vol. 146, pp. 102691-102691
Closed Access | Times Cited: 41
Federated Learning for Healthcare: A Comprehensive Review
Pallavi Dhade, Prajakta Shirke
(2024), pp. 230-230
Open Access | Times Cited: 19
Advanced Mango Leaf Disease Detection and Severity Analysis with Federated Learning and CNN
Shiva Mehta, Vinay Kukreja, Rishika Yadav
(2023), pp. 1-6
Closed Access | Times Cited: 33
Security of federated learning with IoT systems: Issues, limitations, challenges, and solutions
Jean-Paul A. Yaacoub, Hassan Noura, Ola Salman
Internet of Things and Cyber-Physical Systems (2023) Vol. 3, pp. 155-179
Open Access | Times Cited: 27
FFM: Flood Forecasting Model Using Federated Learning
Muhammad Shoaib Farooq, Rabia Tehseen, Junaid Nasir Qureshi, et al.
IEEE Access (2023) Vol. 11, pp. 24472-24483
Open Access | Times Cited: 25
Botnet Detection and Mitigation Model for IoT Networks Using Federated Learning
Francisco L. de Caldas Filho, Samuel Carlos Meneses Soares, Elder Oroski, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6305-6305
Open Access | Times Cited: 25
Apple Leaf Disease Recognition: A Robust Federated Learning CNN Methodology
Shiva Mehta, Vinay Kukreja, Richa Gupta
(2023), pp. 393-398
Closed Access | Times Cited: 21
Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
Samaneh Mohammadi, Ali Balador, Sima Sinaei, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 192, pp. 104918-104918
Open Access | Times Cited: 14
Cybersecurity Challenges and Solutions in the Fintech Mobile App Ecosystem
Ishamuddin Mustapha, Yamounah Vaicondam, Agha Jahanzeb, et al.
International Journal of Interactive Mobile Technologies (iJIM) (2023) Vol. 17, Iss. 22, pp. 100-116
Open Access | Times Cited: 20
Mitigating the Impact of Guava Leaf Diseases Using CNNs and Federated Learning
D. S. Malik, Vinay Kukreja, Shiva Mehta, et al.
(2023)
Closed Access | Times Cited: 18
Agriculture Breakthrough: Federated ConvNets for Unprecedented Maize Disease Detection and Severity Estimation
Shiva Mehta, Vinay Kukreja, Prateek Srivastava
(2023)
Closed Access | Times Cited: 17
Integration of federated learning with IoT for smart cities applications, challenges, and solutions
Yazeed Yasin Ghadi, Tehseen Mazhar, Syed Faisal Abbas Shah, et al.
PeerJ Computer Science (2023) Vol. 9, pp. e1657-e1657
Open Access | Times Cited: 17
Towards federated transfer learning in electrocardiogram signal analysis
Wesley Chorney, Haifeng Wang
Computers in Biology and Medicine (2024) Vol. 170, pp. 107984-107984
Closed Access | Times Cited: 7
Distributed Learning in the IoT–Edge–Cloud Continuum
Audris Arzovs, Jānis Judvaitis, Krišjānis Nesenbergs, et al.
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 283-315
Open Access | Times Cited: 6
Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks
Miguel Rebollo, J. A. Rincon, Luís Hernández, et al.
Sensors (2024) Vol. 24, Iss. 4, pp. 1342-1342
Open Access | Times Cited: 5
A Systematic Literature Review on Client Selection in Federated Learning
Carl Smestad, Jingyue Li
(2023), pp. 2-11
Open Access | Times Cited: 14
Adopting Federated Learning and CNN for Advanced Plant Pathology: A Case of Red Globe Grape Leaf Diseases Dissecting Severity
Varun Jindal, Vinay Kukreja, Shiva Mehta, et al.
(2023) Vol. 2, pp. 1-6
Closed Access | Times Cited: 14
AI-empowered mobile edge computing: inducing balanced federated learning strategy over edge for balanced data and optimized computation cost
Momina Shaheen, Muhammad Shoaib Farooq, T. Umer
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Federated Learning in Agents Based Cyber-Physical Systems
Domenico Di Sivo, Palma Errico, Salvatore Venticinque
(2025), pp. 73-94
Closed Access
Towards trustworthy AI-driven leukemia diagnosis: A hybrid Hierarchical Federated Learning and explainable AI framework
Khadija Pervez, Syed Hamza Sohail, Faiza Parwez, et al.
Informatics in Medicine Unlocked (2025), pp. 101618-101618
Open Access
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
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