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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.

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Showing 17 citing articles:

An IoT Enable Anomaly Detection System for Smart City Surveillance
Muhammad Islam, Abdulsalam S. Dukyil, Saleh Alyahya, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2358-2358
Open Access | Times Cited: 21
DAST-Net: Dense visual attention augmented spatio-temporal network for unsupervised video anomaly detection
Rangachary Kommanduri, Mrinmoy Ghorai
Neurocomputing (2024) Vol. 579, pp. 127444-127444
Closed Access | Times Cited: 9
Making Anomalies More Anomalous: Video Anomaly Detection Using a Novel Generator and Destroyer
Seungkyun Hong, Sunghyun Ahn, Youngwan Jo, et al.
IEEE Access (2024) Vol. 12, pp. 36712-36726
Open Access | Times Cited: 7
Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework
Liang Yu, Yong‐Han Hong, Hua Lin, et al.
Energy Informatics (2025) Vol. 8, Iss. 1
Open Access
Abnormal event detection in surveillance videos through LSTM auto-encoding and local minima assistance
Erkan Şengönül, Refik Samet, Qasem Abu Al‐Haija, et al.
Discover Internet of Things (2025) Vol. 5, Iss. 1
Open Access
Enhancement of Video Anomaly Detection Performance Using Transfer Learning and Fine-Tuning
Esma Dilek, Murat Dener
IEEE Access (2024) Vol. 12, pp. 73304-73322
Open Access | Times Cited: 3
Dual-Channel Autoencoder with Key Region Feature Enhancement for Video Anomalous Event Detection
Qing Ye, Zihan Song, Yuqi Zhao, et al.
Neural Processing Letters (2024) Vol. 56, Iss. 3
Open Access | Times Cited: 2
Enhancing Video Anomaly Detection Using a Transformer Spatiotemporal Attention Unsupervised Framework for Large Datasets
Mohamed H. Habeb, May Salama, Lamiaa A. Elrefaei
Algorithms (2024) Vol. 17, Iss. 7, pp. 286-286
Open Access | Times Cited: 2
Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos - a Survey
Leonard Matheus Wastupranata, Seong G. Kong
(2024)
Closed Access | Times Cited: 1
Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos—A Survey
Leonard Matheus Wastupranata, Seong G. Kong, Lipo Wang
Electronics (2024) Vol. 13, Iss. 13, pp. 2579-2579
Open Access | Times Cited: 1
STURM: exploiting swin transformer Unet with random masks for self-supervised anomaly detection
Zhoufeng Liu, Xiaolei Ma, Guangshuai Gao, et al.
(2024)
Closed Access
DG-GAN: A Deep Neural Network for Real-World Anomaly Detection in Surveillance Videos
Debi Prasad Senapati, Prabhu Prasad Dev, Santos Kumar Baliarsingh, et al.
Communications in computer and information science (2024), pp. 93-106
Closed Access
K-fold matching model for crowd behavioral anomaly detection from discontinuous inputs
Ye Han, Jinming Wang, Fangfang Ye
Expert Systems with Applications (2024), pp. 125504-125504
Closed Access
A novel approach for tool-narayanaswamy-moynihan model parameter extraction using multi-scale neural model
Marek Pakosta, Petr Doležel, Roman Svoboda
Materials Chemistry and Physics (2024) Vol. 329, pp. 130107-130107
Open Access
Enhancing Video Anomaly Detection with Improved UNET and Cascade Sliding Window Technique
Sreedevi R Krishnan, P. Amudha
Informatics and Automation (2024) Vol. 23, Iss. 6, pp. 1899-1930
Open Access
Video Anomaly Detection using Residual Autoencoder: A Lightweight Framework
Mohamed H. Habeb, May Salama, Lamiaa A. Elrefaei
مجلة کلية دار العلوم (2023) Vol. 49, Iss. 2
Open Access | Times Cited: 1
D-CViT: A lightweight denoising approach for the real-time video anomaly detection
Sanjay Roka, Manoj Diwakar
(2023), pp. 445-450
Closed Access
Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction
Marek Pakosta, Petr Doležel, Roman Svoboda, et al.
Lecture notes in networks and systems (2023), pp. 24-33
Closed Access
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