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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:

Semi-supervised Deep Learning-Driven Anomaly Detection Schemes for Cyber-Attack Detection in Smart Grids
Abdelkader Dairi, Fouzi Harrou, Benamar Bouyeddou, et al.
Power systems (2023), pp. 265-295
Closed Access | Times Cited: 22

Showing 22 citing articles:

A Zero-Shot Fault Detection Method for UAV Sensors Based on a Novel CVAE-GAN Model
Chuanjiang Li, Kai Luo, Lei Yang, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 14, pp. 23239-23254
Closed Access | Times Cited: 28
Anomaly detection based on LSTM and autoencoders using federated learning in smart electric grid
Rakesh Shrestha, Mohammadreza Mohammadi, Sima Sinaei, et al.
Journal of Parallel and Distributed Computing (2024) Vol. 193, pp. 104951-104951
Open Access | Times Cited: 9
Vulnerability detection in Java source code using a quantum convolutional neural network with self-attentive pooling, deep sequence, and graph-based hybrid feature extraction
Shumaila Hussain, Muhammad Nadeem, Junaid Baber, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Is Software-Defined Smart Grid Secure? An Analysis of Security Issues and Solutions
C. Sathish Kumar, Manvendra Singh, Bipal Khanal, et al.
Communications in computer and information science (2025), pp. 273-283
Closed Access
Process-Oriented heterogeneous graph learning in GNN-Based ICS anomalous pattern recognition
Shuaiyi Lu, Kai Wang, Liren Zhang, et al.
Pattern Recognition (2023) Vol. 141, pp. 109661-109661
Closed Access | Times Cited: 10
Markov enhanced I-LSTM approach for effective anomaly detection for time series sensor data
V. Shanmuganathan, A. Suresh
International Journal of Intelligent Networks (2024) Vol. 5, pp. 154-160
Open Access | Times Cited: 2
Self-Training of Cyber-Threat Classification Model With Threat-Payload Centric Augmentation
Jae‐Yeol Kim, Hyuk-Yoon Kwon
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 10, pp. 11740-11750
Closed Access | Times Cited: 2
Advanced mathematical modeling of mitigating security threats in smart grids through deep ensemble model
Sanaa Sharaf, Mahmoud Ragab, Nasser Albogami, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
A WOA-CNN-BiLSTM-based multi-feature classification prediction model for smart grid financial markets
Guofeng Ni, Xiaoyuan Zhang, Xiang Ni, et al.
Frontiers in Energy Research (2023) Vol. 11
Open Access | Times Cited: 6
Deep learning anomaly detection in AI-powered intelligent power distribution systems
Jing Duan
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Ransomware Detection Using Stacked Autoencoder for Feature Selection
Mike Nkongolo, Mahmut TOKMAK
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
Auto encoders with Cellular Automata for Anomaly Detection
Prasun Chakrabarti Pokkuluri Kiran Sree
Deleted Journal (2024) Vol. 20, Iss. 2s, pp. 227-232
Open Access | Times Cited: 1
Generative Adversarial Networks-Based Novel Approach for Fraud Detection for the European Cardholders 2013 Dataset
Fahdah Almarshad, Ghada Abdalaziz Gashgari, Abdullah I. A. Alzahrani
IEEE Access (2023) Vol. 11, pp. 107348-107368
Open Access | Times Cited: 4
Enhanced SVM Model with Orthogonal Learning Chaotic Grey Wolf Optimization for Cybersecurity Intrusion Detection in Agriculture 4.0
K. S. Shaik, Naga Siva Kumar Thumboor, V. Siva Prasad, et al.
International Journal of Safety and Security Engineering (2023) Vol. 13, Iss. 3, pp. 509-517
Open Access | Times Cited: 3
Auto encoders with Cellular Automata for Anomaly Detection
Prasun Chakrabarti Pokkuluri Kiran Sree
Deleted Journal (2024) Vol. 20, Iss. 1s, pp. 728-733
Open Access
Anomaly Detection Based on Data Super-Resolution in Industrial Cyber-Physical Systems with Multi-Rate Sampling
Xin Du, Chunjie Zhou, Yu‐Chu Tian, et al.
IEEE Sensors Journal (2024) Vol. 24, Iss. 10, pp. 16478-16490
Closed Access
Kernel Function Selection for FISVDD Applied to Outliers Detection Application for Energy Time Series Datasets
Ibtissam Amalou, Naoual Mouhni, Abdelmounaïm Abdali
Electric Power Components and Systems (2024), pp. 1-16
Closed Access
Detection of Faults and Attacks in Power Monitoring System via Semi-Supervised Learning with Pseudo Label Refinery
Wei Chen, Wei Zhang, Yuanzhi Li, et al.
2022 34th Chinese Control and Decision Conference (CCDC) (2024), pp. 5669-5673
Closed Access
The Impact of Machine Learning on Future Defense Strategies
Aris Sarjito
Pelita Jurnal Penelitian dan Karya Ilmiah (2024) Vol. 23, Iss. 2, pp. 18-27
Open Access
Deep frequency control of power grids under cyber attacks
Soroush Oshnoei, Mohammad Reza Aghamohammadi, Jalal Heidary
Elsevier eBooks (2024), pp. 93-125
Closed Access
Stealthy Data Integrity Attack Identification in Smart Grid Networks utilizing Deep Denoising Autoencoder
Anila Kousar, Saeed Ahmed, Abdullah Altamimi, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38470-e38470
Open Access
Enhancing IoT Security: Federated Learning with GANs for Effective Attack Detection
Bakhtawar Saeed, Sobia Arshad, Sanay Muhammad Umar Saeed, et al.
2022 19th International Bhurban Conference on Applied Sciences and Technology (IBCAST) (2023) Vol. 6, pp. 570-575
Closed Access
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