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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:

EFS-DNN: An Ensemble Feature Selection-Based Deep Learning Approach to Network Intrusion Detection System
Zehong Wang, Jian Hua Liu, Leyao Sun
Security and Communication Networks (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 20

Showing 20 citing articles:

Dual-IDS: A bagging-based gradient boosting decision tree model for network anomaly intrusion detection system
Maya Hilda Lestari Louk, Bayu Adhi Tama
Expert Systems with Applications (2022) Vol. 213, pp. 119030-119030
Closed Access | Times Cited: 131
Shielding networks: enhancing intrusion detection with hybrid feature selection and stack ensemble learning
Ali Mohammed Alsaffar, Mostafa Nouri-Baygi, Hamed M. Zolbanin
Journal Of Big Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Development of Hybrid Intrusion Detection System Leveraging Ensemble Stacked Feature Selectors and Learning Classifiers to Mitigate the DoS Attacks
P. Mamatha, S. Balaji, S. Sai Anuraghav
International Journal of Computational Intelligence Systems (2025) Vol. 18, Iss. 1
Open Access
Cost based Random Forest Classifier for Intrusion Detection System in Internet of Things
K. Pramilarani, P. Vasanthi Kumari
Applied Soft Computing (2023) Vol. 151, pp. 111125-111125
Closed Access | Times Cited: 10
IGWO-SoE: Improved Grey Wolf Optimization Based Stack of Ensemble Learning Algorithm for Anomaly Detection in Internet of Things Edge Computing
J. Manokaran, G. Vairavel
IEEE Access (2023) Vol. 11, pp. 106934-106953
Open Access | Times Cited: 8
A Holistic Review on Detection of Malicious Browser Extensions and Links using Deep Learning
Rama Abirami K, Tiago Zonta, Mithileysh Sathiyanarayanan
(2024), pp. 1-6
Closed Access | Times Cited: 2
PSO-Driven Feature Selection and Hybrid Ensemble for Network Anomaly Detection
Maya Hilda Lestari Louk, Bayu Adhi Tama
Big Data and Cognitive Computing (2022) Vol. 6, Iss. 4, pp. 137-137
Open Access | Times Cited: 10
A hybrid deep learning method for AE source localization for heterostructure of wind turbine blades
Nian-Zhong Chen, Zhimin Zhao, Lin Lin
Marine Structures (2023) Vol. 94, pp. 103562-103562
Closed Access | Times Cited: 5
Novel Network Intrusion Detection Based on Feature Filtering Using FLAME and New Cuckoo Selection in a Genetic Algorithm
Kawthar Alzboon, Jehad Q. Odeh Alnihoud, Wafa Alsharafat
Applied Sciences (2023) Vol. 13, Iss. 23, pp. 12755-12755
Open Access | Times Cited: 4
Exploring Lightweight Deep Learning Techniques for Intrusion Detection Systems in IoT Networks: A Survey
Hind Ali abdul Hassan
Deleted Journal (2024) Vol. 20, Iss. 4s, pp. 1944-1958
Open Access | Times Cited: 1
Ensemble feature selection via CoCoSo method extended to interval-valued intuitionistic fuzzy environment
K. Janani, S.S. Mohanrasu, Ardak Kashkynbayev, et al.
Mathematics and Computers in Simulation (2024) Vol. 229, pp. 50-77
Closed Access | Times Cited: 1
Securing cloud-enabled smart cities by detecting intrusion using spark-based stacking ensemble of machine learning algorithms
Mohd. Rehan Ghazi, N. S. Raghava
Electronic Research Archive (2024) Vol. 32, Iss. 2, pp. 1268-1307
Open Access
Ensemble learning based on relative accuracy approach and diversity teams
Mahmoud Rokaya, Kholod D. Alsufiani
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 3, pp. 1897-1912
Open Access
Enhancing Intrusion Detection Systems with Dimensionality Reduction and Multi-Stacking Ensemble Techniques
Ali Mohammed Alsaffar, Mostafa Nouri-Baygi, Hamed M. Zolbanin
Algorithms (2024) Vol. 17, Iss. 12, pp. 550-550
Open Access
Vehicle CAN Network Intrusion Detection Model Based on Extreme Learning Machine and Feature Analysis
XU Jiao-xing
Lecture notes in computer science (2023), pp. 550-564
Closed Access
A uniform network flow feature aggregation method based on parallel LSTM
Xin Shou, Lihua Yin, Xi Luo
(2023) Vol. 14, pp. 29-29
Closed Access
Binary Arithmetic Optimization Algorithm with Machine Learning based Intrusion Detection System
Et al. S. P. Senthilkumar
International Journal on Recent and Innovation Trends in Computing and Communication (2023) Vol. 11, Iss. 9, pp. 759-766
Open Access
Enhancing IoT Flow Anomaly Detection with Differential Optimal Feature Subspace
Weidong Shi, Mingrui Fan, Jiaqi Gao, et al.
(2023), pp. 367-374
Closed Access
Improving Network Intrusion Detection Using Supervised Learning for Feature Selection
Hamed Sanusi, Zheni Utic, Jongyeop Kim
(2023), pp. 42-48
Closed Access
RCALN: A Hybrid Intrusion Detection System Incorporating Channel Attention in CNN and Residual Networks with LSTM
Ming‐Hui Chen, Xi Luo, Yiming Zhang, et al.
(2023)
Closed Access
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