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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 Double-Layered Hybrid Approach for Network Intrusion Detection System Using Combined Naive Bayes and SVM
Treepop Wisanwanichthan, Mason Thammawichai
IEEE Access (2021) Vol. 9, pp. 138432-138450
Open Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

A Deep Learning Model for Network Intrusion Detection with Imbalanced Data
Yanfang Fu, Yishuai Du, Zijian Cao, et al.
Electronics (2022) Vol. 11, Iss. 6, pp. 898-898
Open Access | Times Cited: 151
IoT Intrusion Detection Using Machine Learning with a Novel High Performing Feature Selection Method
Khalid Albulayhi, Qasem Abu Al‐Haija, Suliman A. Alsuhibany, et al.
Applied Sciences (2022) Vol. 12, Iss. 10, pp. 5015-5015
Open Access | Times Cited: 120
Distributed Deep CNN-LSTM Model for Intrusion Detection Method in IoT-Based Vehicles
Ali Alferaidi, Kusum Yadav, Yasser Alharbi, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 80
An optimized CNN-based intrusion detection system for reducing risks in smart farming
Amir El-Ghamry, Ashraf Darwish, Aboul Ella Hassanien
Internet of Things (2023) Vol. 22, pp. 100709-100709
Closed Access | Times Cited: 77
Network intrusion detection system by applying ensemble model for smart home
Malothu Amru, R. Jagadeesh Kannan, E. N. Ganesh, et al.
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2024) Vol. 14, Iss. 3, pp. 3485-3485
Open Access | Times Cited: 31
A Study of Network Intrusion Detection Systems Using Artificial Intelligence/Machine Learning
Patrick Vanin, Thomas Newe, Lubna Luxmi Dhirani, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11752-11752
Open Access | Times Cited: 59
Mitigating cyber threats through integration of feature selection and stacking ensemble learning: the LGBM and random forest intrusion detection perspective
Amit Kumar Mishra, Shweta Paliwal
Cluster Computing (2022) Vol. 26, Iss. 4, pp. 2339-2350
Closed Access | Times Cited: 55
Robust Enhancement of Intrusion Detection Systems Using Deep Reinforcement Learning and Stochastic Game
Hafsa Benaddi, Khalil Ibrahimi, Abderrahim Benslimane, et al.
IEEE Transactions on Vehicular Technology (2022) Vol. 71, Iss. 10, pp. 11089-11102
Closed Access | Times Cited: 42
An Innovative Perceptual Pigeon Galvanized Optimization (PPGO) Based Likelihood Naïve Bayes (LNB) Classification Approach for Network Intrusion Detection System
Shitharth Selvarajan, Pravin R. Kshirsagar, Praveen Kumar Balachandran, et al.
IEEE Access (2022) Vol. 10, pp. 46424-46441
Open Access | Times Cited: 41
Indoor Positioning System (IPS) Using Ultra-Wide Bandwidth (UWB)—For Industrial Internet of Things (IIoT)
Fuhu Che, Qasim Zeeshan Ahmed, Pavlos I. Lazaridis, et al.
Sensors (2023) Vol. 23, Iss. 12, pp. 5710-5710
Open Access | Times Cited: 27
Multi-objective optimization algorithms for intrusion detection in IoT networks: A systematic review
Shubhkirti Sharma, Vijay Kumar, Kamlesh Dutta
Internet of Things and Cyber-Physical Systems (2024) Vol. 4, pp. 258-267
Open Access | Times Cited: 9
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
CTMBIDS: convolutional Tsetlin machine-based intrusion detection system for DDoS attacks in an SDN environment
Rasoul Jafari Gohari, Laya Aliahmadipour, Marjan Kuchaki Rafsanjani
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
Machine Learning-Based Adaptive Synthetic Sampling Technique for Intrusion Detection
Mohammed Zakariah, Salman A. AlQahtani, Mabrook Al‐Rakhami
Applied Sciences (2023) Vol. 13, Iss. 11, pp. 6504-6504
Open Access | Times Cited: 22
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
An effective technique for detecting minority attacks in NIDS using deep learning and sampling approach
R. Harini, N. Maheswari, Sannasi Ganapathy, et al.
Alexandria Engineering Journal (2023) Vol. 78, pp. 469-482
Open Access | Times Cited: 19
Intrusion Detection Model for Internet of Vehicles Using GRIPCA and OWELM
Kai‐Jun Zhang, Jiayu Yang, Yangfei Shao, et al.
IEEE Access (2024) Vol. 12, pp. 28911-28925
Open Access | Times Cited: 8
A network intrusion detection system based on deep learning in the IoT
Xiao Wang, Lie Dai, Guang Yang
The Journal of Supercomputing (2024) Vol. 80, Iss. 16, pp. 24520-24558
Closed Access | Times Cited: 7
EESNN: Hybrid Deep Learning Empowered Spatial–Temporal Features for Network Intrusion Detection System
Jalaiah Saikam, C. K. Rao
IEEE Access (2024) Vol. 12, pp. 15930-15945
Open Access | Times Cited: 6
Ontology-Based Layered Rule-Based Network Intrusion Detection System for Cybercrimes Detection
Femi Emmanuel Ayo, Joseph Bamidele Awotunde, Lukman Adebayo Ogundele, et al.
Knowledge and Information Systems (2024) Vol. 66, Iss. 6, pp. 3355-3392
Closed Access | Times Cited: 6
A Systematic Review on Hybrid Intrusion Detection System
Elijah M. Maseno, Zenghui Wang, Hongyan Xing
Security and Communication Networks (2022) Vol. 2022, pp. 1-23
Open Access | Times Cited: 27
Deep Ensemble-based Efficient Framework for Network Attack Detection
Furqan Rustam, Ali Raza, Imran Ashraf, et al.
(2023)
Closed Access | Times Cited: 11
A hybrid feature weighted attention based deep learning approach for an intrusion detection system using the random forest algorithm
Arshad Hashmi, Omar Barukab, Ahmed Hamza Osman
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0302294-e0302294
Open Access | Times Cited: 4
An improved Harris Hawks optimizer based feature selection technique with effective two-staged classifier for network intrusion detection system
U Nandhini, Santhosh Kumar SVN
Peer-to-Peer Networking and Applications (2024)
Closed Access | Times Cited: 4
NIDS-Vis: Improving the generalized adversarial robustness of network intrusion detection system
Ke He, Dong Seong Kim, Muhammad Rizwan Asghar
Computers & Security (2024) Vol. 145, pp. 104028-104028
Open Access | Times Cited: 4
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