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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:

Deep learning algorithms for intrusion detection systems in internet of things using CIC-IDS 2017 dataset
Jinsi Jose, Deepa Jose
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2022) Vol. 13, Iss. 1, pp. 1134-1134
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

A deep learning-based novel hybrid CNN-LSTM architecture for efficient detection of threats in the IoT ecosystem
Ahsan Nazir, Jingsha He, Nafei Zhu, et al.
Ain Shams Engineering Journal (2024) Vol. 15, Iss. 7, pp. 102777-102777
Open Access | Times Cited: 18
Enhanced Intrusion Detection with LSTM-Based Model, Feature Selection, and SMOTE for Imbalanced Data
Hussein Ridha Sayegh, Dong Wang, Ali Mansour Al-madani
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 479-479
Open Access | Times Cited: 13
Security Information Event Management data acquisition and analysis methods with machine learning principles
Noyan Tendikov, Leila Rzayeva, Bilal Saoud, et al.
Results in Engineering (2024) Vol. 22, pp. 102254-102254
Open Access | Times Cited: 8
A novel deep learning-based intrusion detection system for IoT DDoS security
Selman Hızal, Ünal Çavuşoğlu, Devrim Akgün
Internet of Things (2024) Vol. 28, pp. 101336-101336
Closed Access | Times Cited: 7
A novel adaptive network intrusion detection system for internet of things
Parthiban Aravamudhan, T. Kanimozhi
PLoS ONE (2023) Vol. 18, Iss. 4, pp. e0283725-e0283725
Open Access | Times Cited: 19
Improving Machine Learning-Based Intrusion Detection Systems: A Comparative Study on NSL-KDD Dataset
Zahraa H. Salim, Safwan O. Hasoon
Communications in computer and information science (2025), pp. 213-229
Closed Access
A hybrid approach for intrusion detection in vehicular networks using feature selection and dimensionality reduction with optimized deep learning
Fayaz Hassan, Zafi Sherhan Syed, Aftab Ahmed Memon, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0312752-e0312752
Open Access
Intrusion detection in smart grids using artificial intelligence-based ensemble modelling
Amjad Alsirhani, Noshina Tariq, Mamoona Humayun, et al.
Cluster Computing (2025) Vol. 28, Iss. 4
Open Access
Machine Learning Algorithms for Raw and Unbalanced Intrusion Detection Data in a Multi-Class Classification Problem
Mantas Bacevičius, Agnė Paulauskaitė-Tarasevičienė
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 7328-7328
Open Access | Times Cited: 14
Real-Time Network Packet Classification Exploiting Computer Vision Architectures
Emilio Paolini, Luca Valcarenghi, Luca Maggiani, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 1155-1166
Open Access | Times Cited: 4
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: 4
Explainable AI-based innovative hybrid ensemble model for intrusion detection
Usman Ahmed, Jiangbin Zheng, Ahmad Almogren, et al.
Journal of Cloud Computing Advances Systems and Applications (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 4
An intrusion detection system using ranked feature bagging
M. Azhagiri, A. Rajesh, S. Karthik, et al.
International Journal of Information Technology (2023) Vol. 16, Iss. 2, pp. 1213-1219
Closed Access | Times Cited: 9
A privacy-preserving Self-Supervised Learning-based intrusion detection system for 5G-V2X networks
S M Mostaq Hossain, Sidi‐Mohammed Senouci, Bouziane Brik, et al.
Ad Hoc Networks (2024), pp. 103674-103674
Open Access | Times Cited: 2
CL2ES-KDBC: A Novel Covariance Embedded Selection Based on Kernel Distributed Bayes Classifier for Detection of Cyber-Attacks in IoT Systems
Talal Albalawi, P. Ganeshkumar
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 3, pp. 3511-3528
Open Access | Times Cited: 1
Intrusion Detection Using Artificial Intelligence Techniques: Review
Zahraa H. Salim, Safwan O. Hasoon
(2024), pp. 1-7
Closed Access | Times Cited: 1
Survey on Low-Rate DDoS Attacks, Detection and Defense
Dušan Drinić, Zoran Čiča
(2024), pp. 1-6
Closed Access | Times Cited: 1
Enhancing cloud security: A study on ensemble learning‐based intrusion detection systems
Maha Al‐Sharif, Anas Bushnag
IET Communications (2024) Vol. 18, Iss. 16, pp. 950-965
Open Access | Times Cited: 1
Improving intrusion detection using LSTM-RNN to protect drones’ networks
Mohamed Gamal, Mohamed Elhamahmy, Sanaa Taha, et al.
Egyptian Informatics Journal (2024) Vol. 27, pp. 100501-100501
Open Access | Times Cited: 1
Network Intrusion Detection Based on Deep Belief Network Broad Equalization Learning System
Miaolei Deng, Chuanchuan Sun, Yupei Kan, et al.
Electronics (2024) Vol. 13, Iss. 15, pp. 3014-3014
Open Access | Times Cited: 1
Coordinated Attacks Detection Simulation With Deep Neural Network Algorithm and Federated Learning
Retno Fauziah Istiqomah, Parman Sukarno, Aulia Arif Wardana
(2024), pp. 12-16
Closed Access | Times Cited: 1
Statistical Implementation for SD-RNN Model for Multi-Class Classification for Network Intrusion Detection System
Nekita Chavhan
Deleted Journal (2024) Vol. 31, Iss. 2s, pp. 546-560
Open Access | Times Cited: 1
A hybrid AI based framework for enhancing security in satellite based IoT networks using high performance computing architecture
Syed Zubair Ahmad, Farhan Qamar
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Intrusion detection system in cloud computing by utilizing VTR-HLSTM based on deep learning
Valavan Woothukadu Thirumaran, Nalini Joseph, G. Umarani Srikanth
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 33, Iss. 3, pp. 1829-1829
Open Access
Intrusion Classification and Detection System Using Machine Learning Models on NSL-KDD Dataset
Ankit Chakrawarti, Shiv Shakti Shrivastava
Lecture notes in networks and systems (2024), pp. 83-101
Closed Access
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