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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:

Comparative Review of the Intrusion Detection Systems Based on Federated Learning: Advantages and Open Challenges
Elena Fedorchenko, Evgenia Novikova, Anton Shulepov
Algorithms (2022) Vol. 15, Iss. 7, pp. 247-247
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso, Daniel Jiménez-López, M. Victoria Luzón, et al.
Information Fusion (2022) Vol. 90, pp. 148-173
Open Access | Times Cited: 149
Artificial Intelligence Trust, Risk and Security Management (AI TRiSM): Frameworks, applications, challenges and future research directions
Adib Habbal, Mohamed Khalif Ali, Mustafa Ali Abuzaraida
Expert Systems with Applications (2023) Vol. 240, pp. 122442-122442
Closed Access | Times Cited: 135
Deep learning for intrusion detection in IoT networks
Mehdi Selem, Farah Jemili, Ouajdi Korbaa
Peer-to-Peer Networking and Applications (2025) Vol. 18, Iss. 2
Open Access | Times Cited: 1
Enhancing the Distributed Acoustic Sensors’ (DAS) Performance by the Simple Noise Reduction Algorithms Sequential Application
Artem T. Turov, Yuri A. Konstantinov, F. L. Barkov, et al.
Algorithms (2023) Vol. 16, Iss. 5, pp. 217-217
Open Access | Times Cited: 16
ENNigma: A framework for Private Neural Networks
Pedro Barbosa, Ivone Amorim, Eva Maia, et al.
Future Generation Computer Systems (2025), pp. 107719-107719
Open Access
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
AIoT-Enabled Smart Grids: Advancing Energy Efficiency and Renewable Energy Integration
Fadele Ayotunde Alaba, Usman Sani, Emmanuel Gbenga Dada, et al.
Lecture notes on data engineering and communications technologies (2024), pp. 59-79
Closed Access | Times Cited: 3
Securing the Industrial IoT: A Novel Network Intrusion Detection Models
Mangayarkarasi Ramaiah, Mohemmed Yousuf Rahamathulla
(2024), pp. 1-6
Closed 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
MiraiBotGuard: Federated Learning for Intelligent Defense Against Mirai Threats
Parineeta Dahiya, Saurav Bhattacharya
(2024), pp. 1-6
Closed Access | Times Cited: 1
Evaluation of Data Heterogeneity in FL Environment
Evgenija S. Novikova, Yang Chen, Aleksej V. Meleshko
(2024), pp. 344-347
Closed Access | Times Cited: 1
The Effect of Hyper-parameters in Model-contrastive Federated Learning Algorithm
Chen Shen, Zekai Lin, Jing Ma
(2023)
Closed Access | Times Cited: 4
Deep Learning for Intrusion Detection in IoT Networks
Mehdi Selem, Farah Jemili, Ouajdi Korbaa
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
Systematic Analysis of Label-flipping Attacks against Federated Learning in Collaborative Intrusion Detection Systems
Léo Lavaur, Yann Busnel, Fabien Autrel
Proceedings of the 17th International Conference on Availability, Reliability and Security (2024), pp. 1-12
Open Access | Times Cited: 1
Survey of federated learning in intrusion detection
Hao Zhang, Junwei Ye, Wei Huang, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 195, pp. 104976-104976
Closed Access | Times Cited: 1
Internet of Things Intrusion Detection System Based on Convolutional Neural Network
Jie Yin, Yuxuan Shi, Wen Deng, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 75, Iss. 1, pp. 2119-2135
Open Access | Times Cited: 3
FEDERATED LEARNING BASED INTRUSION DETECTION: SYSTEM ARCHITECTURE AND EXPERIMENTS

Voprosy kiberbezopasnosti (2023), Iss. 6 (58)
Open Access | Times Cited: 2
A Hybrid PCA-MAO Based LSTM Model for Intrusion Detection in IoT Environments
Hamdullah Karamollaoğlu, İbrahim Yücedağ, İbrahim Alper Doğru
Research Square (Research Square) (2022)
Closed Access | Times Cited: 4
Federated Learning Based Approach to Intrusion Detection
Evgenia Novikova, Sergey Golubev
(2023), pp. 160-163
Closed Access | Times Cited: 2
Secure IIoT networks with hybrid CNN-GRU model using Edge-IIoTset
Rafika Saadouni, Amina Khacha, Yasmine Harbi, et al.
(2023), pp. 150-155
Closed Access | Times Cited: 2
A Novel Paradigm for IoT Security: ResNet-GRU Model Revolutionizes Botnet Attack Detection
A. Jyotsna, Mary Anita E A
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 12
Open Access | Times Cited: 2
Federated Learning Framework for Early Detection of Reconnaissance Attacks in Smart Grid Environments
Kunal Bhatia, Sharad Shyam Ojha
(2024), pp. 1-6
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
A Comparative Study of CNNs and DNNs Deep Learning Algorithms for Enhancing IoT Attack Detection
Mehdi Selem, Farah Jmili
Lecture notes in networks and systems (2024), pp. 439-453
Closed Access
SoK: Federated Learning based Network Intrusion Detection in 5G: Context, State of the Art and Challenges
Sara Chennoufi, Grégory Blanc, Houda Jmila, et al.
Proceedings of the 17th International Conference on Availability, Reliability and Security (2024), pp. 1-13
Open Access
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