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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:

Evaluating Federated Learning for intrusion detection in Internet of Things: Review and challenges
Enrique Mármol Campos, Pablo Fernández Saura, Aurora González-Vidal, et al.
Computer Networks (2021) Vol. 203, pp. 108661-108661
Open Access | Times Cited: 137

Showing 26-50 of 137 citing articles:

A Heterogeneity-Aware Semi-Decentralized Model for a Lightweight Intrusion Detection System for IoT Networks Based on Federated Learning and BiLSTM
Shuroog Alsaleh, Mohamed El Bachir Menaï, Saad Al-Ahmadi
Sensors (2025) Vol. 25, Iss. 4, pp. 1039-1039
Open Access
Federated Learning Based Intrusion Detection System for Healthcare Domain
Md Abu Talha Reyaz, V. Vanitha, N. Rajathi
Lecture notes in electrical engineering (2025), pp. 117-129
Closed Access
A hybrid learning technique for intrusion detection system for smart grid
Najet Hamdi
Sustainable Computing Informatics and Systems (2025), pp. 101102-101102
Closed Access
Investigating the Efficiency of a Federated Learning-Based Intrusion Detection System for Smart Grid
Najet Hamdi
SN Computer Science (2025) Vol. 6, Iss. 3
Closed Access
Deep Learning Models with Transfer Learning and Ensemble for Enhancing Cybersecurity in IoT Use Cases
Sivananda Hanumanthu, G. Anil Kumar
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access
Distributed optimization for IoT attack detection using federated learning and Siberian Tiger optimizer
Brij B. Gupta, Akshat Gaurav, Wadee Alhalabi, et al.
ICT Express (2025)
Open Access
Internet of Things (IoT) Technologies in Cybersecurity: Challenges and Opportunities
Grzegorz Kołaczek
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2935-2935
Open Access
Federated learning for misbehaviour detection with variational autoencoders and Gaussian mixture models
Enrique Mármol Campos, Aurora González-Vidal, José L. Hernández-Ramos, et al.
International Journal of Information Security (2025) Vol. 24, Iss. 2
Open Access
An optimal federated learning-based intrusion detection for IoT environment
A. Karunamurthy, K. Vijayan, Pravin R. Kshirsagar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Dependable federated learning for IoT intrusion detection against poisoning attacks
Run Yang, Hui He, Yulong Wang, et al.
Computers & Security (2023) Vol. 132, pp. 103381-103381
Closed Access | Times Cited: 15
GöwFed
Aitor Belenguer, José A. Pascual, Javier Navaridas
Journal of Network and Computer Applications (2023) Vol. 217, pp. 103653-103653
Open Access | Times Cited: 12
Pelican Optimization Algorithm with Federated Learning Driven Attack Detection model in Internet of Things environment
Fahd N. Al‐Wesabi, Hanan Abdullah Mengash, Radwa Marzouk, et al.
Future Generation Computer Systems (2023) Vol. 148, pp. 118-127
Closed Access | Times Cited: 12
A Systematic Review of Data-Driven Attack Detection Trends in IoT
Safwana Haque, Fadi El-Moussa, Nikos Komninos, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7191-7191
Open Access | Times Cited: 12
A Comprehensive Overview of IoT-Based Federated Learning: Focusing on Client Selection Methods
Naghmeh Khajehali, Jun Yan, Yang-Wai Chow, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7235-7235
Open Access | Times Cited: 12
A novel RPL defense mechanism based on trust and deep learning for internet of things
Khatereh Ahmadi, Reza Javidan
The Journal of Supercomputing (2024) Vol. 80, Iss. 12, pp. 16979-17003
Closed Access | Times Cited: 4
A robust multi-stage intrusion detection system for in-vehicle network security using hierarchical federated learning
Muzun Althunayyan, Amir Javed, Omer Rana
Vehicular Communications (2024) Vol. 49, pp. 100837-100837
Open Access | Times Cited: 4
A review of federated learning applications in intrusion detection systems
Aitor Belenguer, José A. Pascual, Javier Navaridas
Computer Networks (2025), pp. 111023-111023
Open Access
Random Forest Based on Federated Learning for Intrusion Detection
Tijana Markovic, Miguel León, David Buffoni, et al.
IFIP advances in information and communication technology (2022), pp. 132-144
Closed Access | Times Cited: 21
Federated Learning for Intrusion Detection in the Critical Infrastructures: Vertically Partitioned Data Use Case
Evgenia Novikova, Elena Doynikova, Sergey Golubev
Algorithms (2022) Vol. 15, Iss. 4, pp. 104-104
Open Access | Times Cited: 19
Cross-Layer Federated Learning for Lightweight IoT Intrusion Detection Systems
Suzan Hajj, Joseph Azar, Jacques Bou Abdo, et al.
Sensors (2023) Vol. 23, Iss. 16, pp. 7038-7038
Open Access | Times Cited: 11
Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions
Jadil Alsamiri, Khalid Alsubhi
Future Internet (2023) Vol. 15, Iss. 12, pp. 403-403
Open Access | Times Cited: 10
Federated transfer learning for attack detection for Internet of Medical Things
Afnan Alharbi
International Journal of Information Security (2024) Vol. 23, Iss. 1, pp. 81-100
Closed Access | Times Cited: 3
Enhancing Intrusion Detection Through Federated Learning With Enhanced Ghost_BiNet and Homomorphic Encryption
C. U. Om Kumar, Sudhakaran Gajendran, Suguna Marappan
IEEE Access (2024) Vol. 12, pp. 24879-24893
Open Access | Times Cited: 3
Federated Learning-based Intrusion Detection System for the Internet of Things using Unsupervised and Supervised Deep Learning Models
Babatunde Olanrewaju-George, Bernardi Pranggono
Cyber Security and Applications (2024) Vol. 3, pp. 100068-100068
Open Access | Times Cited: 3
A Transfer Learning Framework for Predictive Energy-Related Scenarios in Smart Buildings
Aurora González-Vidal, José Mendoza-Bernal, Shuteng Niu, et al.
IEEE Transactions on Industry Applications (2022) Vol. 59, Iss. 1, pp. 26-37
Open Access | Times Cited: 18

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