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 combined enhanced random forest with SMOTE algorithm
Tao Wu, Honghui Fan, Hongjin Zhu, et al.
EURASIP Journal on Advances in Signal Processing (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Advanced machine learning approach for DoS attack resilience in internet of vehicles security
Nadeem Ahmed, Fayaz Hassan, Khursheed Aurangzeb, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e28844-e28844
Open Access | Times Cited: 5

Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms
Purushottam Singh, Prashant Pranav, Sandip Dutta
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Ensemble of feature augmented convolutional neural network and deep autoencoder for efficient detection of network attacks
B. Selvakumar, M Sivaanandh, K. Muneeswaran, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Deep Ensemble-based Efficient Framework for Network Attack Detection
Furqan Rustam, Ali Raza, Imran Ashraf, et al.
(2023)
Closed Access | Times Cited: 11

Strengthening Network Security: Deep Learning Models for Intrusion Detection with Optimized Feature Subset and Effective Imbalance Handling
Bayi Xu, Lei Sun, Xiuqing Mao, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2024) Vol. 78, Iss. 2, pp. 1995-2022
Open Access | Times Cited: 4

usfAD based effective unknown attack detection focused IDS framework
Md Ashraf Uddin, Sunil Aryal, Mohamed Reda Bouadjenek, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Machine learning-inspired intrusion detection system for IoT: Security issues and future challenges
Tariq Ahamed Ahanger, Imdad Ullah, Shabbab Algamdi, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110265-110265
Closed Access

Robust Network Intrusion Detection System Using VGG16, Autoencoder, and Random Forest for Enhanced Cybersecurity in IOT
Jameer Kotwal, Atharv Kulkarni, Ashutosh Wagh, et al.
Communications in computer and information science (2025), pp. 3-16
Closed Access

Learning-based intrusion detection for high-dimensional imbalanced traffic
Yuheng Gu, Yu Yang, Yu Yan, et al.
Computer Communications (2023) Vol. 212, pp. 366-376
Closed Access | Times Cited: 9

Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things
Ashfaq Hussain Farooqi, Shahzaib Akhtar, Hameedur Rahman, et al.
Sensors (2023) Vol. 24, Iss. 1, pp. 127-127
Open Access | Times Cited: 9

Subsidies for investing in energy efficiency measures: Applying a random forest model for unbalanced samples
Susana Álvarez‐Díez, J. Samuel Baixauli‐Soler, Gabriel Lozano‐Reina, et al.
Applied Energy (2024) Vol. 359, pp. 122725-122725
Open Access | Times Cited: 3

Securing the Industrial IoT: A Novel Network Intrusion Detection Models
Mangayarkarasi Ramaiah, Mohemmed Yousuf Rahamathulla
(2024), pp. 1-6
Closed Access | Times Cited: 3

A comparison of several intrusion detection methods using the NSL-KDD dataset
Hazem salim Abdullah
Wasit Journal of Computer and Mathematics Science (2024) Vol. 3, Iss. 2, pp. 32-41
Open Access | Times Cited: 3

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: 3

Hierarchical Intrusion Detection System for Secured Military Drone Network: A Perspicacious Approach
Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong Seong Kim, et al.
MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM) (2022), pp. 336-341
Closed Access | Times Cited: 15

VAE-WACGAN: An Improved Data Augmentation Method Based on VAEGAN for Intrusion Detection
Wuxin Tian, Yanping Shen, Na Guo, et al.
Sensors (2024) Vol. 24, Iss. 18, pp. 6035-6035
Open Access | Times Cited: 2

Focal Causal Temporal Convolutional Neural Networks: Advancing IIoT Security with Efficient Detection of Rare Cyber-Attacks
Meysam Miryahyaei, Mehdi Fartash, Javad Akbari Torkestani
Sensors (2024) Vol. 24, Iss. 19, pp. 6335-6335
Open Access | Times Cited: 2

Cyber Edge Intelligent Intrusion Detection Framework For UAV Network Based on Random Forest Algorithm
Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong‐Seong Kim, et al.
2022 13th International Conference on Information and Communication Technology Convergence (ICTC) (2022)
Closed Access | Times Cited: 11

Machine Learning for IoT based networks intrusion detection: a comparative study
Marwa Baich, Touria Hamim, Nawal Sael, et al.
Procedia Computer Science (2022) Vol. 215, pp. 742-751
Open Access | Times Cited: 10

Ensemble Learning for Threat Classification in Network Intrusion Detection on a Security Monitoring System for Renewable Energy
Hsiao-Chung Lin, Ping Wang, Kuo‐Ming Chao, et al.
Applied Sciences (2021) Vol. 11, Iss. 23, pp. 11283-11283
Open Access | Times Cited: 11

ResADM: A Transfer-Learning-Based Attack Detection Method for Cyber–Physical Systems
Huan Wang, Haifeng Zhang, Lei Zhu, et al.
Applied Sciences (2023) Vol. 13, Iss. 24, pp. 13019-13019
Open Access | Times Cited: 4

Oversampling and undersampling for intrusion detection system in the supervisory control and data acquisition IEC 60870‐5‐104
M. Agus Syamsul Arifin, Deris Stiawan, Bhakti Yudho Suprapto, et al.
IET Cyber-Physical Systems Theory & Applications (2024) Vol. 9, Iss. 3, pp. 282-292
Open Access | Times Cited: 1

A Novel Deep Learning Framework for Intrusion Detection Systems in Wireless Network
Khoa Dinh Nguyen Dang, Peppino Fazio, Miroslav Vozňák
Future Internet (2024) Vol. 16, Iss. 8, pp. 264-264
Open Access | Times Cited: 1

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