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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 for IoT Intrusion Detection
Riccardo Lazzarini, Huaglory Tianfield, Vassilis Charissis
AI (2023) Vol. 4, Iss. 3, pp. 509-530
Open Access | Times Cited: 18

Showing 18 citing articles:

Resource-efficient federated learning over IoAT for rice leaf disease classification
Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, et al.
Computers and Electronics in Agriculture (2024) Vol. 221, pp. 109001-109001
Closed Access | Times Cited: 11
An explainable multi-modal model for advanced cyber-attack detection in industrial control systems
Sepideh Bahadoripour, Hadis Karimipour, Amir Namavar Jahromi, et al.
Internet of Things (2024) Vol. 25, pp. 101092-101092
Closed Access | Times Cited: 10
Resource-Efficient Clustered Federated Learning Framework for Industry 4.0 Edge Devices
Atallo Kassaw Takele, Balázs Villányi
AI (2025) Vol. 6, Iss. 2, pp. 30-30
Open Access
Design of a Federated Ensemble Model for Intrusion Detection in Distributed IIoT Networks for Enhancing Cybersecurity
Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, et al.
Journal of Industrial Information Integration (2025), pp. 100800-100800
Closed Access
A federated learning model with the whale optimization algorithm for renewable energy prediction
Viorica Rozina Chifu, Tudor Cioara, Cristian Daniel Anitei, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110259-110259
Open Access
Federated Learning and Blockchain-Based Collaborative Framework for Real-Time Wild Life Monitoring
Prasanna Jagannathan, K. Saravanan, S. Deepajothi, et al.
Cybernetics and Information Technologies (2025) Vol. 25, Iss. 1, pp. 19-35
Open Access
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
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
Federated Learning for Multi-institutional on 3D Brain Tumor Segmentation
Yahiaoui Mohammed Elbachir, Makhlouf Derdour, Mohamed Gasmi, et al.
(2024) Vol. 11383, pp. 1-8
Closed Access | Times Cited: 2
Privacy-Preserving Federated Learning-Based Intrusion Detection Technique for Cyber-Physical Systems
Syeda Aunanya Mahmud, Nazmul Islam, Md Zahidul Islam, et al.
Mathematics (2024) Vol. 12, Iss. 20, pp. 3194-3194
Open Access | Times Cited: 1
Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering
M. Baqer
Future Internet (2024) Vol. 17, Iss. 1, pp. 4-4
Open Access | Times Cited: 1
A novel anomaly detection model for the industrial Internet of Things using machine learning techniques
Lahcen Idouglid, Said Tkatek, Khalid Elfayq, et al.
RADIOELECTRONIC AND COMPUTER SYSTEMS (2024) Vol. 2024, Iss. 1, pp. 143-151
Open Access | Times Cited: 1
Securing Networks: A Deep Learning Approach with Explainable AI (XAI) and Federated Learning for Intrusion Detection
K. Fatema, Mehrin Anannya, Samrat Kumar Dey, et al.
Lecture notes in computer science (2024), pp. 260-275
Closed Access
FedIoTect: Federated Machine Learning for Collaborative Internet of Things Threat Detection
Gitanjali Gitanjali, Er. Rajani Misra
Research Square (Research Square) (2024)
Open Access
Leveraging Federated Learning and Variational Autoencoders for an Enhanced Anomaly Detection System
Beny Nugraha, Kavya Kota, Thomas Bauschert
(2024), pp. 166-174
Closed Access
Edge Computing Enabled Anomaly Detection in IoT Environments Using Federated Learning
Vipashi Kansal, Saif O. Husain, Rakesh Kumar, et al.
(2024), pp. 1622-1627
Closed Access
FedLSTM: A Federated Learning Framework for Sensor Fault Detection in Wireless Sensor Networks
Rehan Khan, Umer Saeed, Insoo Koo
Electronics (2024) Vol. 13, Iss. 24, pp. 4907-4907
Open Access
Landscape of machine learning evolution: privacy-preserving federated learning frameworks and tools
Giang V. Nguyen, Judith Sáinz-Pardo Díaz, Amanda Calatrava, et al.
Artificial Intelligence Review (2024) Vol. 58, Iss. 2
Open Access
Federated Learning with Privacy Preserving for Multi- Institutional Three-Dimensional Brain Tumor Segmentation
Mohammed Elbachir Yahiaoui, Makhlouf Derdour, Rawad Abdulghafor, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2891-2891
Open Access
Fedwoa: A Federated Learning Model with the Whale Optimization Algorithm for Renewable Energy Prediction
Viorica Rozina Chifu, Tudor Cioara, Cristian Anitiei, et al.
(2023)
Closed Access
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