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:

Rule-Based System with Machine Learning Support for Detecting Anomalies in 5G WLANs
Krzysztof Uszko, Maciej Kasprzyk, Marek Natkaniec, et al.
Electronics (2023) Vol. 12, Iss. 11, pp. 2355-2355
Open Access | Times Cited: 13

Showing 13 citing articles:

AI-Driven Cloud Security: Examining the Impact of User Behavior Analysis on Threat Detection
Samuel Oladiipo Olabanji, Yewande Alice Marquis, Chinasa Susan Adigwe, et al.
Asian Journal of Research in Computer Science (2024) Vol. 17, Iss. 3, pp. 57-74
Open Access | Times Cited: 45

A cognitive security framework for detecting intrusions in IoT and 5G utilizing deep learning
Umesh Kumar Lilhore, Surjeet Dalal, Sarita Simaiya
Computers & Security (2023) Vol. 136, pp. 103560-103560
Closed Access | Times Cited: 26

Securing tomorrow: a comprehensive survey on the synergy of Artificial Intelligence and information security
Ehtesham Hashmi, Muhammad Mudassar Yamin, Sule Yildirim Yayilgan
AI and Ethics (2024)
Open Access | Times Cited: 10

Artificial intelligence advances in anomaly detection for telecom networks
Enerst Edozie, Aliyu Nuhu Shuaibu, Bashir Olaniyi Sadiq, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access

Wireless Local Area Networks Threat Detection Using 1D-CNN
Marek Natkaniec, Marcin Bednarz
Sensors (2023) Vol. 23, Iss. 12, pp. 5507-5507
Open Access | Times Cited: 8

Quantum particle Swarm optimized extreme learning machine for intrusion detection
Han Qi, Xinyu Liu, Abdullah Gani, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 10, pp. 14622-14644
Open Access | Times Cited: 2

Rule-Based With Machine Learning IDS for DDoS Attack Detection in Cyber-Physical Production Systems (CPPS)
Ayaz Hussain, Eva Marín Tordera, Xavi Masip‐Bruin, et al.
IEEE Access (2024) Vol. 12, pp. 114894-114911
Open Access | Times Cited: 2

A Novel Covert Channel for IEEE 802.11 Networks Utilizing MAC Address Randomization
Geovani Teca, Marek Natkaniec
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8000-8000
Open Access | Times Cited: 5

Machine Learning-based Intrusion Detection System Through WPA3 Protocol in Smart Contract System
Mohammad Sayduzzaman, Jarin Tasnim Tamanna, Muaz Rahman, et al.
International Journal of Innovative Science and Research Technology (IJISRT) (2024), pp. 2926-2942
Open Access | Times Cited: 1

Internet of Things and Software Applications in Patient Safety Adverse Event Detection and Reporting: A Comprehensive Literature Review
Olamide O. Afolalu, Sunday A. Afolalu, Oladele F. Afolalu, et al.
(2024), pp. 1-11
Closed Access | Times Cited: 1

Quantum Particle Swarm Optimized Extreme Learning Machine for Intrusion Detection
Han Qi, Xinyu Liu, Abdullah Gani, et al.
Research Square (Research Square) (2023)
Open Access

Feature Selection in Wireless Intrusion Detection System for Evil Twin Attack Detection
Abhijit Kamble, Deepak Kshirsagar
(2023), pp. 1-5
Closed Access

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