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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:

A machine learning-based intrusion detection for detecting internet of things network attacks
Yakub Kayode Saheed, Aremu Idris Abiodun, Sanjay Misra, et al.
Alexandria Engineering Journal (2022) Vol. 61, Iss. 12, pp. 9395-9409
Open Access | Times Cited: 197

Showing 1-25 of 197 citing articles:

A systematic literature review for network intrusion detection system (IDS)
Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht, Yakub Kayode Saheed
International Journal of Information Security (2023) Vol. 22, Iss. 5, pp. 1125-1162
Closed Access | Times Cited: 64
Anomaly-based intrusion detection system for IoT application
Mansi Bhavsar, Kaushik Roy, John Kelly, et al.
Discover Internet of Things (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 61
Enhancing IoT network security through deep learning-powered Intrusion Detection System
Shahid Allah Bakhsh, Muhammad Almas Khan, Fawad Ahmed, et al.
Internet of Things (2023) Vol. 24, pp. 100936-100936
Open Access | Times Cited: 59
Deep learning-based intrusion detection approach for securing industrial Internet of Things
Sahar Soliman, Wed Oudah, Ahamed Aljuhani
Alexandria Engineering Journal (2023) Vol. 81, pp. 371-383
Open Access | Times Cited: 54
M-MultiSVM: An efficient feature selection assisted network intrusion detection system using machine learning
Anil V. Turukmane, Ramkumar Devendiran
Computers & Security (2023) Vol. 137, pp. 103587-103587
Closed Access | Times Cited: 40
Enhancing intrusion detection in IoT networks using machine learning-based feature selection and ensemble models
Ayoob Almotairi, Samer Atawneh, Osama A. Khashan, et al.
Systems Science & Control Engineering (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 16
Blockchain-Based Secure Localization against Malicious Nodes in IoT-Based Wireless Sensor Networks Using Federated Learning
Gebrekiros Gebreyesus Gebremariam, Jeebananda Panda, S. Indu
Wireless Communications and Mobile Computing (2023) Vol. 2023, pp. 1-27
Open Access | Times Cited: 36
A novel hybrid ensemble learning for anomaly detection in industrial sensor networks and SCADA systems for smart city infrastructures
Yakub Kayode Saheed, Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 5, pp. 101532-101532
Open Access | Times Cited: 29
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
Towards an efficient model for network intrusion detection system (IDS): systematic literature review
Oluwadamilare Harazeem Abdulganiyu, Taha Ait Tchakoucht, Yakub Kayode Saheed
Wireless Networks (2023) Vol. 30, Iss. 1, pp. 453-482
Closed Access | Times Cited: 22
Classification of intrusion cyber‐attacks in smart power grids using deep ensemble learning with metaheuristic‐based optimization
Hamad Naeem, Farhan Ullah, Gautam Srivastava
Expert Systems (2024)
Open Access | Times Cited: 12
Secure localization techniques in wireless sensor networks against routing attacks based on hybrid machine learning models
Gebrekiros Gebreyesus Gebremariam, Jeebananda Panda, S. Indu
Alexandria Engineering Journal (2023) Vol. 82, pp. 82-100
Open Access | Times Cited: 21
Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment
Deepak Kumar Jain, Weiping Ding, Ketan Kotecha
International Journal of Machine Learning and Cybernetics (2023) Vol. 14, Iss. 6, pp. 2221-2237
Closed Access | Times Cited: 19
Design of an Intrusion Detection Model for IoT-Enabled Smart Home
Deepti Rani, Nasib Singh Gill, Preeti Gulia, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 19
Analyzing the Critical Parameters for Implementing Sustainable AI Cloud System in an IT Industry Using AHP-ISM-MICMAC Integrated Hybrid MCDM Model
Manideep Yenugula, Shankha Shubhra Goswami, Subramaniam Kaliappan, et al.
Mathematics (2023) Vol. 11, Iss. 15, pp. 3367-3367
Open Access | Times Cited: 18
A novel hybrid autoencoder and modified particle swarm optimization feature selection for intrusion detection in the internet of things network
Yakub Kayode Saheed, Aisha Abubakar Usman, Favour Dirwokmwa Sukat, et al.
Frontiers in Computer Science (2023) Vol. 5
Open Access | Times Cited: 17
Machine learning cryptography methods for IoT in healthcare
Tserendorj Chinbat, Samaneh Madanian, David Airehrour, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Drift Adaptive Online DDoS Attack Detection Framework for IoT System
Yonas Kibret Beshah, Surafel Lemma Abebe, Henock Mulugeta Melaku
Electronics (2024) Vol. 13, Iss. 6, pp. 1004-1004
Open Access | Times Cited: 6
XAIEnsembleTL-IoV: A New eXplainable Artificial Intelligence Ensemble Transfer Learning for Zero-Day Botnet Attack Detection in the Internet of Vehicles
Yakub Kayode Saheed, Joshua Ebere Chukwuere
Results in Engineering (2024), pp. 103171-103171
Open Access | Times Cited: 6
Study of various AI based security model for threat analysis in communication and IoT network
Shrikant S. Goje, Sanjay M. Asutkar, G. M. Asutkar
AIP conference proceedings (2025) Vol. 3255, pp. 020015-020015
Closed Access
Hybrid-CID: Securing IoT with Mongoose Optimization
S. Merlin Sheeba, R. S. Shaji
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Enhancing cybersecurity using optimized anti-interference dynamic integral neural network-based intrusion detection system
Deevesh Chaudhary, Deepika Shekhawat, Sunita Gupta, et al.
Knowledge and Information Systems (2025)
Closed Access
Intelligent Intrusion Detection Scheme for Smart Power-Grid Using Optimized Ensemble Learning on Selected Features
Manikant Panthi, Tanmoy Kanti Das
International Journal of Critical Infrastructure Protection (2022) Vol. 39, pp. 100567-100567
Closed Access | Times Cited: 23
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: 14
Improved Crow Search-Based Feature Selection and Ensemble Learning for IoT Intrusion Detection
D. Jayalatchumy, Rajakumar Ramalingam, Aravind Balakrishnan, et al.
IEEE Access (2024) Vol. 12, pp. 33218-33235
Open Access | Times Cited: 4
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