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 System with Customized Machine Learning Techniques for NSL-KDD Dataset
Mohammed Zakariah, Salman A. AlQahtani, Abdulaziz M. Alawwad, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 3, pp. 4025-4054
Open Access | Times Cited: 16

Showing 16 citing articles:

Cascaded intrusion detection system using machine learning
Md. Khabir Uddin Ahamed, Abdul Karim
Systems and Soft Computing (2025), pp. 200182-200182
Open Access | Times Cited: 1

ResInceptNet-SA: A Network Traffic Intrusion Detection Model Fusing Feature Selection and Balanced Datasets
Guorui Liu, Tianlin Zhang, Hualin Dai, et al.
Applied Sciences (2025) Vol. 15, Iss. 2, pp. 956-956
Open Access | Times Cited: 1

Towards optimized machine-learning-driven intrusion detection for Internet of Things applications
Khalid Alemerien, Sadeq Al-Suhemat, Mutaz Al-Mahadin
International Journal of Information Technology (2024) Vol. 16, Iss. 8, pp. 4981-4994
Closed Access | Times Cited: 7

CNN Channel Attention Intrusion Detection System Using NSL-KDD Dataset
Fatma S. Alrayes, Mohammed Zakariah, Syed Umar Amin, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 79, Iss. 3, pp. 4319-4347
Open Access | Times Cited: 6

Integrated Approach for Network Intrusion Detection
C. V. Suresh Babu, G. Suruthi, C. Indhumathi, et al.
Advances in systems analysis, software engineering, and high performance computing book series (2024), pp. 19-39
Closed Access | Times Cited: 6

A stacked ensemble approach to detect cyber attacks based on feature selection techniques
Wahida Ferdose Urmi, Mohammed Nasir Uddin, Md Ashraf Uddin, et al.
International Journal of Cognitive Computing in Engineering (2024) Vol. 5, pp. 316-331
Open Access | Times Cited: 6

Web Security in the Digital Age
Sujatha Krishna, Rajesh Natarajan, Francesco Flammini, et al.
International Journal on Semantic Web and Information Systems (2025) Vol. 21, Iss. 1, pp. 1-25
Open Access

A novel hyperparameter tuning method for enhanced intrusion detection in network security
Vahid Sinap
Turkish Journal of Engineering (2025) Vol. 9, Iss. 3, pp. 519-534
Open Access

Advanced intrusion detection in internet of things using graph attention networks
Aamir S Ahanger, Sajad M. Khan, Faheem Masoodi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Influence of Feature Selection Techniques on the Cyber-Attacks Prediction Using Machine Learning Techniques
H. Elhosiny Ali, Ali Hasan Taresh
Communications in computer and information science (2025), pp. 142-166
Closed Access

Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure
Usman Tariq, Tariq Ahamed Ahanger
PeerJ Computer Science (2025) Vol. 11, pp. e2869-e2869
Open Access

DLC-IDS: a novel democratic leadership classification model for intrusion detection systems
Sambuddho Chakravarty, Soham Satpati, Saptarshi Das, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 8
Closed Access

Evaluating the efficacy of decision tree-based machine learning in classifying intrusive behaviour of network users

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 114
Open Access

ATTACK DETECTION IN AUTONOMOUS VEHICLES BY USING MACHINE LEARNING MODELS

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access

Intrusion Detection System Application with Machine Learning
Mehmet Hacıbeyoglu, Ferda Nur Arıcı, Mohammed H. Ibrahim
Afyon Kocatepe University Journal of Sciences and Engineering (2024) Vol. 24, Iss. 5, pp. 1165-1179
Open Access

IDDLE: A Novel Deep Learning–Based Approach for Intrusion Detection Problem Using Feature Extraction
Yunus Emre Göktepe, Yusuf UZUN
Security and Privacy (2024) Vol. 8, Iss. 1
Closed Access

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