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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:

Federated Learning in Robotic and Autonomous Systems
Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, et al.
Procedia Computer Science (2021) Vol. 191, pp. 135-142
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Federated Learning in Edge Computing: A Systematic Survey
Haftay Gebreslasie Abreha, Mohammad Hayajneh, Mohamed Adel Serhani
Sensors (2022) Vol. 22, Iss. 2, pp. 450-450
Open Access | Times Cited: 170
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
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
AI-Based Mobile Edge Computing for IoT: Applications, Challenges, and Future Scope
Ashish Singh, Suresh Chandra Satapathy, Arnab Roy, et al.
Arabian Journal for Science and Engineering (2022) Vol. 47, Iss. 8, pp. 9801-9831
Closed Access | Times Cited: 78
Enhancing Cloud-Based Machine Learning Models with Federated Learning Techniques
Rejuwan Shamim, Yousef Farhaoui
Lecture notes in networks and systems (2024), pp. 594-606
Closed Access | Times Cited: 28
Mobile robot localization: Current challenges and future prospective
Inam Ullah, Deepak Adhikari, Habib Ullah Khan, et al.
Computer Science Review (2024) Vol. 53, pp. 100651-100651
Closed Access | Times Cited: 25
Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment
Satheesh Abimannan, El-Sayed M. El-Alfy, Shahid Hussain, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13951-13951
Open Access | Times Cited: 19
Smart Flood Detection with AI and Blockchain Integration in Saudi Arabia Using Drones
Albandari Alsumayt, Nahla El-Haggar, Lobna Amouri, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5148-5148
Open Access | Times Cited: 17
Security and Privacy in Fog/Cloud-based IoT Systems for AI and Robotics
Prabh Deep Singh, Kiran Deep Singh
EAI Endorsed Transactions on AI and Robotics (2023) Vol. 2
Open Access | Times Cited: 16
Fog Cloud Computing and IoT Integration for AI enabled Autonomous Systems in Robotics
Kiran Deep Singh, Prabhdeep Singh
EAI Endorsed Transactions on AI and Robotics (2024) Vol. 3
Open Access | Times Cited: 6
Distributed Robotic Systems in the Edge-Cloud Continuum with ROS 2: a Review on Novel Architectures and Technology Readiness
Jiaqiang Zhang, Farhad Keramat, Xianjia Yu, et al.
(2022), pp. 1-8
Open Access | Times Cited: 23
No One Left Behind: Real-World Federated Class-Incremental Learning
Jiahua Dong, Hongliu Li, Yang Cong, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2023) Vol. 46, Iss. 4, pp. 2054-2070
Open Access | Times Cited: 15
Adapting security and decentralized knowledge enhancement in federated learning using blockchain technology: literature review
Menna Mamdouh Orabi, O. E. Emam, Hanan Fahmy
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Federated deep reinforcement learning for mobile robot navigation
Sabyasachi Shivkumar, J. Amudha, A. A. Nippun Kumaar
Journal of Intelligent & Fuzzy Systems (2024), pp. 1-16
Closed Access | Times Cited: 3
Deep Reinforcement Learning
Saksham, Chhavi Rana
(2024), pp. 29-49
Closed Access | Times Cited: 3
Digital forensics challenges and readiness for 6G Internet of Things (IoT) networks
Alex Akinbi
Wiley Interdisciplinary Reviews Forensic Science (2023) Vol. 5, Iss. 6
Open Access | Times Cited: 9
Towards Lifelong Federated Learning in Autonomous Mobile Robots with Continuous Sim-to-Real Transfer
Xianjia Yu, Jorge Peña Queralta, Tomi Westerlund
Procedia Computer Science (2022) Vol. 210, pp. 86-93
Open Access | Times Cited: 14
Machine Learning in Cybersecurity
Prasanna Kumar G, Darshini Y. Gowda, Ashwini M. Prakash
Advances in healthcare information systems and administration book series (2023), pp. 175-197
Closed Access | Times Cited: 8
A Review of Cloud-Edge SLAM: Toward Asynchronous Collaboration and Implicit Representation Transmission
Weinan Chen, Shilang Chen, Jiewu Leng, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 11, pp. 15437-15453
Closed Access | Times Cited: 2
Federated learning vulnerabilities, threats and defenses: A systematic review and future directions
Suzan Almutairi, Ahmed Barnawi
Internet of Things (2023) Vol. 24, pp. 100947-100947
Closed Access | Times Cited: 6
An Innovative Hashgraph-based Federated Learning Approach for Multi Domain 5G Network Protection
Hisham A. Kholidy, Riaad Kamaludeen
(2022), pp. 139-146
Closed Access | Times Cited: 10
Decentralized Over-the-Air Federated Learning by Second-Order Optimization Method
Peng Yang, Yuning Jiang, Dingzhu Wen, et al.
IEEE Transactions on Wireless Communications (2023) Vol. 23, Iss. 6, pp. 5632-5647
Closed Access | Times Cited: 4
Fog-based Edge AI for Robotics: Cutting-edge Research and Future Directions
Kiran Deep Singh, Prabh Deep Singh
EAI Endorsed Transactions on AI and Robotics (2023) Vol. 2
Open Access | Times Cited: 4
Nonlinear Analysis and Topological Approaches towards a Deep Intelligent Framework for Privacy Assurance of Autonomous IoT Systems
S. Chandra Sekaran
Deleted Journal (2024) Vol. 31, Iss. 2, pp. 83-95
Open Access | Times Cited: 1
Uncertainty-Aware Federated Reinforcement Learning for Optimizing Accuracy and Energy in Heterogeneous Industrial IoT
A. S. M. Sharifuzzaman Sagar, Muhammad Zubair Islam, Amir Haider, et al.
Applied Sciences (2024) Vol. 14, Iss. 18, pp. 8299-8299
Open Access | Times Cited: 1
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