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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 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

Showing 51-75 of 170 citing articles:

A Survey on Collaborative Learning for Intelligent Autonomous Systems
Julio César Santos dos Anjos, Kassiano J. Matteussi, Fernanda C. Orlandi, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 4, pp. 1-37
Closed Access | Times Cited: 9
Digital Twin-Assisted Federated Learning Service Provisioning Over Mobile Edge Networks
Ruirui Zhang, Zhenzhen Xie, Dongxiao Yu, et al.
IEEE Transactions on Computers (2023) Vol. 73, Iss. 2, pp. 586-598
Closed Access | Times Cited: 9
High-Fidelity Gradient Inversion in Distributed Learning
Zipeng Ye, Wenjian Luo, Qi Zhou, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 19983-19991
Open Access | Times Cited: 3
Edge Computing and Federated Learning for Real-Time Anomaly Detection in Industrial Internet of Things (IIoT)
Shivkumar V Haldikar, Omer Farook Mohideen Abdul Kader, Roop Kumar Yekollu
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access | Times Cited: 3
A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges
Mohammed H. Alsharif, Raju Kannadasan, Wei Wei, et al.
Internet of Things (2024) Vol. 27, pp. 101251-101251
Closed Access | Times Cited: 3
A multifaceted survey on privacy preservation of federated learning: progress, challenges, and opportunities
Sanchita Saha, Ashlesha Hota, Arup Kumar Chattopadhyay, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 7
Open 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
Federated Reinforcement Learning for Collaborative Intelligence in UAV-Assisted C-V2X Communications
Abhishek Gupta, Xavier Fernando
Drones (2024) Vol. 8, Iss. 7, pp. 321-321
Open Access | Times Cited: 3
Federated Learning: Challenges, SoTA, Performance Improvements and Application Domains
Ιοannis Schoinas, Anna Triantafyllou, Dimosthenis Ioannidis, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 5933-6017
Open Access | Times Cited: 3
A Docker-based federated learning framework design and deployment for multi-modal data stream classification
Arijit Nandi, Fatos Xhafa, Rohit Kumar
Computing (2023) Vol. 105, Iss. 10, pp. 2195-2229
Closed Access | Times Cited: 8
Medical Imaging Applications of Federated Learning
Sukhveer Sandhu, Hamed Taheri Gorji, Pantea Tavakolian, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3140-3140
Open Access | Times Cited: 8
Tactile internet of federated things: Toward fine-grained design of FL-based architecture to meet TIoT demands
Omar Alnajar, Ahmed Barnawi
Computer Networks (2023) Vol. 231, pp. 109712-109712
Closed Access | Times Cited: 7
A Comparative Study on Cloud and Edgeb Computing: A Survey on Current Research Activities and Applications
Mohammed Barakat, Rashid A. Saeed, Salaheldin Edam
(2023)
Closed Access | Times Cited: 7
Privacy preservation using optimized Federated Learning: A critical survey
Yogita Narule, Kalpana Sunil Thakre
Intelligent Decision Technologies (2024) Vol. 18, Iss. 1, pp. 135-149
Closed Access | Times Cited: 2
Review on Approaches of Federated Modeling in Anomaly-Based Intrusion Detection for IoT Devices
Umar Isma’ila Audi, Kamaluddeen Usman Danyaro, Aminu Aminu Muazu, et al.
IEEE Access (2024) Vol. 12, pp. 30941-30961
Open Access | Times Cited: 2
Leveraging distributed AI for multi-occupancy prediction in Cognitive Buildings
Irfanullah Khan, Franco Cicirelli, Emilio Greco, et al.
Internet of Things (2024) Vol. 26, pp. 101181-101181
Open Access | Times Cited: 2
Learning on Bandwidth Constrained Multi-Source Data with MIMO-inspired DPP MAP Inference
Xiwen Chen, Huayu Li, Rahul Amin, et al.
IEEE Transactions on Machine Learning in Communications and Networking (2024) Vol. 2, pp. 1341-1356
Open 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
Poisoning Attacks on Federated Learning-based Wireless Traffic Prediction
Zifan Zhang, Minghong Fang, Jiayuan Huang, et al.
(2024), pp. 423-431
Open Access | Times Cited: 2
FedDSS: A data-similarity approach for client selection in horizontal federated learning
Tuong Minh Nguyen, Kim Leng Poh, Shu‐Ling Chong, et al.
International Journal of Medical Informatics (2024) Vol. 192, pp. 105650-105650
Closed Access | Times Cited: 2
Smart and Sentient Retail High Streets
Paul M. Torrens
Smart Cities (2022) Vol. 5, Iss. 4, pp. 1670-1720
Open Access | Times Cited: 11
EMI and IEMI Impacts on the Radio Communication Network of Electrified Railway Systems: A Critical Review
Yejing Fan, Li Zhang, Kang Li
IEEE Transactions on Vehicular Technology (2023) Vol. 72, Iss. 8, pp. 10409-10424
Open Access | Times Cited: 6
A Review of Client Selection Methods in Federated Learning
Samara Mayhoub, Tareq M. Shami
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 2, pp. 1129-1152
Closed Access | Times Cited: 6
Advancing Federated Learning through Verifiable Computations and Homomorphic Encryption
Bingxue Zhang, Guangguang Lu, Pengpeng Qiu, et al.
Entropy (2023) Vol. 25, Iss. 11, pp. 1550-1550
Open Access | Times Cited: 6
From Cyber–Physical Convergence to Digital Twins: A Review on Edge Computing Use Case Designs
M. C. Hlophe, B. T. Maharaj
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13262-13262
Open Access | Times Cited: 6

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