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:
Machine Learning and Deep Learning Techniques for Internet of Things Network Anomaly Detection—Current Research Trends
Saida Hafsa Rafique, Amira Mahamat Abdallah, Nura Shifa Musa, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1968-1968
Open Access | Times Cited: 15
Saida Hafsa Rafique, Amira Mahamat Abdallah, Nura Shifa Musa, et al.
Sensors (2024) Vol. 24, Iss. 6, pp. 1968-1968
Open Access | Times Cited: 15
Showing 15 citing articles:
Overview of Anomaly Detection Techniques across Different Domains: A Systematic Review
Venkatraman Umbalacheri Ramasamy
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 17
Venkatraman Umbalacheri Ramasamy
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 17
Large scale foundation models for intelligent manufacturing applications: a survey
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
Haotian Zhang, Stuart Dereck Semujju, Zhicheng Wang, et al.
Journal of Intelligent Manufacturing (2025)
Open Access
AI-based Malware Detection in IoT Networks within Smart Cities: A Survey
Mustafa J.M. Alhamdi, José Manuel López-Guede, Jafar AlQaryouti, et al.
Computer Communications (2025), pp. 108055-108055
Closed Access
Mustafa J.M. Alhamdi, José Manuel López-Guede, Jafar AlQaryouti, et al.
Computer Communications (2025), pp. 108055-108055
Closed Access
Anomaly Detection System for Users and Devices Involved in Internet of Things Integrated Cloud Applications Using Machine Algorithms
S. Mirdula, M Roopa
Internet Technology Letters (2025)
Closed Access
S. Mirdula, M Roopa
Internet Technology Letters (2025)
Closed Access
A two-tier optimization strategy for feature selection in robust adversarial attack mitigation on internet of things network security
K. Sai Prasad, P. Udayakumar, E. Laxmi Lydia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
K. Sai Prasad, P. Udayakumar, E. Laxmi Lydia, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
CO-STOP: A Robust P4-Powered Adaptive Framework for Comprehensive Detection and Mitigation of Coordinated and Multi-Faceted Attacks in SD-IoT Networks
Ameer El-Sayed, Ahmed A. Toony, Fayez Alqahtani, et al.
Computers & Security (2025), pp. 104349-104349
Closed Access
Ameer El-Sayed, Ahmed A. Toony, Fayez Alqahtani, et al.
Computers & Security (2025), pp. 104349-104349
Closed Access
A Literature Review on Security in the Internet of Things: Identifying and Analysing Critical Categories
Hannelore Sebestyen, Daniela Elena Popescu, Doina Zmaranda
Computers (2025) Vol. 14, Iss. 2, pp. 61-61
Open Access
Hannelore Sebestyen, Daniela Elena Popescu, Doina Zmaranda
Computers (2025) Vol. 14, Iss. 2, pp. 61-61
Open Access
Integrating Machine Learning and AI into IoT-Enabled Smart Parking
Vesna Knights, Olivera Petrovska, Marija Prchkovska
(2025), pp. 43-62
Closed Access
Vesna Knights, Olivera Petrovska, Marija Prchkovska
(2025), pp. 43-62
Closed Access
AW-CES: adaptively weighted-cumulative error scoring for autoencoder-based anomaly detection on unlabeled data
Cheolsoon Park, Seunghwan Song, Jun‐Geol Baek
International Journal of Data Science and Analytics (2025)
Closed Access
Cheolsoon Park, Seunghwan Song, Jun‐Geol Baek
International Journal of Data Science and Analytics (2025)
Closed Access
A Comparative Analysis of Anomaly Detection Methods in IoT Networks: An Experimental Study
Emanuel Krzysztoń, Izabela Rojek, Dariusz Mikołajewski
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11545-11545
Open Access | Times Cited: 2
Emanuel Krzysztoń, Izabela Rojek, Dariusz Mikołajewski
Applied Sciences (2024) Vol. 14, Iss. 24, pp. 11545-11545
Open Access | Times Cited: 2
Artificial Intelligence and Deep Learning in Sensors and Applications
Shyan‐Ming Yuan, Zeng‐Wei Hong, Wai Khuen Cheng
Sensors (2024) Vol. 24, Iss. 10, pp. 3258-3258
Open Access | Times Cited: 1
Shyan‐Ming Yuan, Zeng‐Wei Hong, Wai Khuen Cheng
Sensors (2024) Vol. 24, Iss. 10, pp. 3258-3258
Open Access | Times Cited: 1
Unveiling anomalies: harnessing machine learning for detection and insights
Shubh Gupta, Sanoj Kumar, Karan Singh, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035215-035215
Closed Access | Times Cited: 1
Shubh Gupta, Sanoj Kumar, Karan Singh, et al.
Engineering Research Express (2024) Vol. 6, Iss. 3, pp. 035215-035215
Closed Access | Times Cited: 1
Advancements in Anomaly Detection Techniques in Network Traffic: The Role of Artificial Intelligence and Machine Learning
Vishnu Priya P M, S Soumya
Journal of Scientific Research and Technology (2024), pp. 38-48
Open Access
Vishnu Priya P M, S Soumya
Journal of Scientific Research and Technology (2024), pp. 38-48
Open Access
Real-Time Detection of IoT Anomalies and Intrusion Data in Smart Cities Using Multi-Agent System
Maria Muntean
Sensors (2024) Vol. 24, Iss. 24, pp. 7886-7886
Open Access
Maria Muntean
Sensors (2024) Vol. 24, Iss. 24, pp. 7886-7886
Open Access
LSTM-Based Unsupervised Anomaly Detection in High-Performance Computing: A Federated Learning Approach
Emmen Farooq, Andrea Borghesi
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7735-7744
Closed Access
Emmen Farooq, Andrea Borghesi
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 7735-7744
Closed Access
GAN-based Anomaly Detection for Urban Sensing
Kyle DeMedeiros, Marwan Abdelatti, Abdeltawab Hendawi
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6230-6239
Closed Access
Kyle DeMedeiros, Marwan Abdelatti, Abdeltawab Hendawi
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 6230-6239
Closed Access
