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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 Intrusion Detection In NG-IoT Healthcare Systems: An Adversarial Approach
Ilias Siniosoglou, Panagiotis Sarigiannidis, Vasilis Argyriou, et al.
ICC 2022 - IEEE International Conference on Communications (2021), pp. 1-6
Open Access | Times Cited: 21

Showing 21 citing articles:

Drone-Base-Station for Next-Generation Internet-of-Things: A Comparison of Swarm Intelligence Approaches
Dimitrios Pliatsios, Sotirios K. Goudos, Θωμάς Λάγκας, et al.
IEEE Open Journal of Antennas and Propagation (2021) Vol. 3, pp. 32-47
Open Access | Times Cited: 47
The cybersecurity mesh: A comprehensive survey of involved artificial intelligence methods, cryptographic protocols and challenges for future research
Bruno Ramos-Cruz, Javier Andreu-Pérez, Luis Martı́nez
Neurocomputing (2024) Vol. 581, pp. 127427-127427
Open Access | Times Cited: 6
Attack Detection for Medical Cyber-Physical Systems–A Systematic Literature Review
Simon Weber, Stefan Stein, Michael Pilgermann, et al.
IEEE Access (2023) Vol. 11, pp. 41796-41815
Open Access | Times Cited: 15
Machine Learning-Based Intrusion Detection System For Healthcare Data
Amit Kumar Balyan, Sachin Ahuja, Sanjeev Kumar Sharma, et al.
2020 IEEE VLSI DEVICE CIRCUIT AND SYSTEM (VLSI DCS) (2022), pp. 290-294
Closed Access | Times Cited: 21
Navigating the Cyber Threat Landscape: An In-Depth Analysis of Attack Detection within IoT Ecosystems
Samar AboulEla, Nourhan M. Ibrahim, Sarama Shehmir, et al.
AI (2024) Vol. 5, Iss. 2, pp. 704-732
Open Access | Times Cited: 3
Deep Learning-Assisted Security and Privacy Provisioning in the Internet of Medical Things Systems: A Survey on Recent Advances
Rambod Pakrooh, Abdollah Jabbari, Carol Fung
IEEE Access (2024) Vol. 12, pp. 40610-40621
Open Access | Times Cited: 2
Protecting IoT Devices from BotNet Threats: A Federated Machine Learning Solution
Ahmed A. Metwaly, Ibrahim Elhenawy
Sustainable Machine Intelligence Journal (2023) Vol. 2
Open Access | Times Cited: 6
Anti-Jamming Strategy for Federated Learning in Internet of Medical Things: A Game Approach
Rukhsana Ruby, Hailiang Yang, Kaishun Wu
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 27, Iss. 2, pp. 888-899
Closed Access | Times Cited: 9
A Comprehensive Survey on Generative AI Solutions in IoT Security
Juan Luis López Delgado, Juan Antonio López Ramos
Electronics (2024) Vol. 13, Iss. 24, pp. 4965-4965
Open Access | Times Cited: 1
Detecting personal protective equipment (PPE) utilising YOLOv8 in a federated learning environment
Ioannis Makris, Anastasios Lytos, Konstantinos Kyranou, et al.
AIP conference proceedings (2024) Vol. 3220, pp. 050006-050006
Closed Access | Times Cited: 1
Federated Learning Models in Decentralized Critical Infrastructure
Ilias Siniosoglou, Stamatia Bibi, Konstantinos-Filippos Kollias, et al.
River Publishers eBooks (2023), pp. 95-115
Open Access | Times Cited: 3
Unsupervised Ethical Equity Evaluation of Adversarial Federated Networks
Ilias Siniosoglou, Vasileios Argyriou, Stamatia Bibi, et al.
Proceedings of the 17th International Conference on Availability, Reliability and Security (2021), pp. 1-6
Open Access | Times Cited: 7
Large-Scale Multiobjective Federated Neuroevolution for Privacy and Security in the Internet of Things
Xin Liu, Jianwei Zhao, Jie Li, et al.
IEEE Internet of Things Magazine (2022) Vol. 5, Iss. 2, pp. 74-77
Closed Access | Times Cited: 5
Detection of Middlebox-Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models
Abdulwahid Al Abdulwahid
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 5
Optimization of Drone Base Station Location for the Next-Generation Internet-of-Things Using a Pre-Trained Deep Learning Algorithm and NOMA
Hadeel Alsolai, Wafa Mtouaa, Mashael Maashi, et al.
Mathematics (2023) Vol. 11, Iss. 8, pp. 1947-1947
Open Access | Times Cited: 2
Vehicular networks for combating a worldwide pandemic: Preventing the spread of COVID-19
Ahmet M. Elbir, Gokhan Gurbilek, Burak Soner, et al.
Smart Health (2022) Vol. 26, pp. 100353-100353
Open Access | Times Cited: 3
An analysis of decipherable red blood cell abnormality detection under federated environment leveraging XAI incorporated deep learning
Shakib Mahmud Dipto, Md Tanzim Reza, Nadia Tasnim Mim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Cyber Attack Detection in Healthcare Using Machine Learning and Multi Data Source
P Mithun, S. Janagiraman, K Deshra, et al.
2022 7th International Conference on Communication and Electronics Systems (ICCES) (2024), pp. 952-957
Closed Access
Аналитический обзор подходов к обнаружению вторжений, основанных на федеративном обучении: преимущества использования и открытые задачи
Evgenia Novikova, Elena Fedorchenko, Igor Kotenko, et al.
Informatics and Automation (2023) Vol. 22, Iss. 5, pp. 1034-1082
Open Access | Times Cited: 1
An Efficient Distributed Intrusion Detection System in IoT: GAN-Based Attacks and a Countermeasure
Neha Gupta, Mohammad Shojafar, Chuan Heng Foh, et al.
2022 IEEE International Conference on Communications Workshops (ICC Workshops) (2023), pp. 1824-1829
Closed Access | Times Cited: 1
Federated Learning in Healthcare with Unsupervised and Semi-Supervised Methods
Juan Paños-Basterra, M. Dolores Ruiz, Marı́a J. Martı́n-Bautista
Lecture notes in computer science (2023), pp. 182-193
Closed Access
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