Open Access Helper

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:

Intrusion Detection Systems Based on Machine Learning Algorithms
Sandy Victor Amanoul, Adnan Mohsin Abdulazeez, Diyar Qader Zeebare, et al.
(2021), pp. 282-287
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Leveraging of Gradient Boosting Algorithm in Misuse Intrusion Detection using KDD Cup 99 Dataset
Sulaiman Muhammed Sulaiman, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 3
Spam Email Detection Using Machine Learning and Deep Learning Techniques
Pooja Malhotra, Sanjay Kumar Malik
SSRN Electronic Journal (2022)
Closed Access | Times Cited: 15
Segmentation and Classification for Breast Cancer Ultrasound Images Using Deep Learning Techniques: A Review
Alan Fuad Jahwar, Adnan Mohsin Abdulazeez
(2022)
Closed Access | Times Cited: 14
Intrusion Detection System Based on Machine Learning Algorithms: A Review
Sandy Victor Amanoul, Adnan Mohsin Abdulazeez
(2022)
Closed Access | Times Cited: 14
Statistical Evaluation of Network Packets in an Intrusion Detection Mechanism Using ML and DL Techniques
K. Srujan Raju, Manmohan Singh, T Subburaj, et al.
Cybernetics & Systems (2023), pp. 1-17
Closed Access | Times Cited: 5
Automatic Network Intrusion Detection System Using Machine learning and Deep learning
Mohammed Mynuddin, Sultan Uddin Khan, Zayed Uddin Chowdhury, et al.
(2024)
Open Access | Times Cited: 1
Prediction of Tribological Properties of UHMWPE/SiC Polymer Composites Using Machine Learning Techniques
Abdul Jawad Mohammed, Anwaruddin Siddiqui Mohammed, Mohammed Abdul Samad
Polymers (2023) Vol. 15, Iss. 20, pp. 4057-4057
Open Access | Times Cited: 4
Automatic Network Intrusion Detection System Using Machine Learning and Deep Learning
Mohammed Mynuddin, Sultan Uddin Khan, Zayed Uddin Chowdhury, et al.
(2024), pp. 1-9
Closed Access | Times Cited: 1
Android Mobile Applications Vulnerabilities and Prevention Methods: A Review
Hilmi Abdullah, Subhi R. M. Zeebaree
(2021)
Closed Access | Times Cited: 11
Application of Machine Learning Approaches in Intrusion Detection System
Zena Abdulmunim Aziz, Adnan Mohsin Abdulazeez
Journal of Soft Computing and Data Mining (2021) Vol. 2, Iss. 2
Open Access | Times Cited: 6
Trustworthy Artificial Intelligence Methods for Users’ Physical and Environmental Security: A Comprehensive Review
Sabina Szymoniak, Filip Depta, Łukasz Karbowiak, et al.
Applied Sciences (2023) Vol. 13, Iss. 21, pp. 12068-12068
Open Access | Times Cited: 2
Intrusion Detection based on clustering with ML algorithm and LIME Insights
Achal Baniya, Abhay Vinod, Hitesh Surya Chinta, et al.
(2024), pp. 1-6
Closed Access
Empowering Diagnosis: A Review On Deep Learning Applications for COVID-19 and Pneumonia in X-Ray Images
Karin Younis Yaqoub, Adnan Mohsin Abdulazeez
JISA(Jurnal Informatika dan Sains) (2024) Vol. 7, Iss. 1, pp. 83-91
Open Access
Network Intrusion Detection Based on Machine Learning Classification Algorithms: A Review
Aqeel Hanash Younis, Adnan Mohsin Abdulazeez
JISA(Jurnal Informatika dan Sains) (2024) Vol. 7, Iss. 1, pp. 97-110
Open Access
Hybrid AI Learning Approaches for Intrusion Detection: A Review
V. J. Chakravarthy, David Bell, Subhashini Sailesh Bhaskaran
Studies in systems, decision and control (2024), pp. 665-681
Closed Access
Deep Learning-Based Network Intrusion Detection Systems: A Systematic Literature Review
Leonard L. Mutembei, Makhamisa Senekane, Terence L. van Zyl
Communications in computer and information science (2024), pp. 207-234
Closed Access
A Novel Few-Shot ML Approach for Intrusion Detection in IoT
Mobarakol Islam, Aminu Yusuf, Muhammad Dikko Gambo, et al.
Arabian Journal for Science and Engineering (2024)
Closed Access
AI-enhanced smart grid framework for intrusion detection and mitigation in EV charging stations
Arvind R. Singh, R. Seshu Kumar, Rajkumar Singh Rathore, et al.
Alexandria Engineering Journal (2024)
Open Access
Bridging Artificial Intelligence and Railway Cybersecurity: A Comprehensive Anomaly Detection Review
J. Qi, Jian Wang
Transportation Research Record Journal of the Transportation Research Board (2024)
Closed Access
Toward an Improved Security Performance of Industrial Internet of Things Systems
Salma Elhag, Amal Mahmoud Alghamdi, Norah Ahmad Al-Shomrani
SN Computer Science (2022) Vol. 4, Iss. 2
Closed Access | Times Cited: 3
Automatic Network Intrusion Detection System Using Machine learning and Deep learning
Mohammed Mynuddin, Sultan Uddin Khan, Zayed Uddin Chowdhury, et al.
(2024)
Open Access
Enhancing Cybersecurity: Innovative Hybrid Feature Selection for Intrusion Detection
Guntoro Guntoro, Lisnawita Lisnawita, Loneli Costaner
(2024)
Open Access
Intrusion Detection Using Statistical Classifier Based on Packet Header Analysis
Vishnu Prasad Shenoy, B. Malarkodi, Michael Kutty, et al.
Research Square (Research Square) (2024)
Open Access
Securing Networks: An In-Depth Analysis of Intrusion Detection using Machine Learning and Model Explanations
Hoang-Tu Vo, Nhon Nguyen Thien, Kheo Chau Mui, et al.
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 5
Open Access
Sentiment Analysis Based on Machine Learning Techniques: A Comprehensive Review
Ari Ibrahim Hamid, Adnan Mohsin Abdulazeez
Indonesian Journal of Computer Science (2024) Vol. 13, Iss. 3
Open Access
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