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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:

Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder
Lin Wang, Haishu Tan, Fuqiang Zhou, et al.
IEEE Access (2022) Vol. 10, pp. 44278-44289
Open Access | Times Cited: 33

Showing 1-25 of 33 citing articles:

Computer Vision Applications in Intelligent Transportation Systems: A Survey
Esma Dilek, Murat Dener
Sensors (2023) Vol. 23, Iss. 6, pp. 2938-2938
Open Access | Times Cited: 49
Cross-Domain Video Anomaly Detection without Target Domain Adaptation
Abhishek Aich, Kuan-Chuan Peng, Amit K. Roy–Chowdhury
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2023), pp. 2578-2590
Open Access | Times Cited: 20
Anomaly behavior detection analysis in video surveillance: a critical review
Sanjay Roka, Manoj Diwakar, Prabhishek Singh, et al.
Journal of Electronic Imaging (2023) Vol. 32, Iss. 04
Open Access | Times Cited: 17
Deep crowd anomaly detection: state-of-the-art, challenges, and future research directions
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Deep Crowd Anomaly Detection by Fusing Reconstruction and Prediction Networks
Md. Haidar Sharif, Lei Jiao, Christian W. Omlin
Electronics (2023) Vol. 12, Iss. 7, pp. 1517-1517
Open Access | Times Cited: 12
Robust real-time imaging through flexible multimode fibers
Abdullah Abdulaziz, Simon Peter Mekhail, Yoann Altmann, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
DSLSTM: a deep convolutional encoder–decoder architecture for abnormality detection in video surveillance
Sanjay Roka, Manoj Diwakar
Cluster Computing (2024) Vol. 27, Iss. 4, pp. 4925-4940
Closed Access | Times Cited: 3
Addressing security challenges in industry 4.0: AVA-MA approach for strengthening SDN-IoT network security
R. Uma Mageswari, Zafar Ali Khan N, Gowthul Alam M M, et al.
Computers & Security (2024) Vol. 144, pp. 103907-103907
Closed Access | Times Cited: 3
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
Anomalous event detection and localization in dense crowd scenes
Areej Alhothali, Amal Balabid, Reem Alharthi, et al.
Multimedia Tools and Applications (2022) Vol. 82, Iss. 10, pp. 15673-15694
Closed Access | Times Cited: 16
An Analysis of Abnormal Event Detection and Person Identification from Surveillance Cameras using Motion Vectors with Deep Learning
P. Pandiaraja, R Saarumathi, M Parashakthi, et al.
(2023), pp. 1225-1232
Closed Access | Times Cited: 8
Feature Reconstruction with Disruption for Unsupervised Video Anomaly Detection
Chenchen Tao, Chong Wang, Sunqi Lin, et al.
IEEE Transactions on Multimedia (2024) Vol. 26, pp. 10160-10173
Closed Access | Times Cited: 2
Application of support vector machine system introducing multiple submodels in data mining
Weinan Tang
Systems and Soft Computing (2024) Vol. 6, pp. 200096-200096
Open Access | Times Cited: 2
A Survey of Anomaly Detection in Video Surveillance
N. Muthurasu, Vani Rajasekar
Communications in computer and information science (2024), pp. 292-302
Closed Access | Times Cited: 2
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
Residual Attention based Long-Short Term Memory with Self Gated Rectified Linear Unit for Anomalous Behavior Detection
Kiran Kalla, Jaya Suma Gogulamanda
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 3, pp. 575-585
Open Access | Times Cited: 1
Deep Learning for Abnormal Human Behavior Detection in Surveillance Videos - a Survey
Leonard Matheus Wastupranata, Seong G. Kong
(2024)
Closed Access | Times Cited: 1
Unsupervised exceptional human action detection from repetition of human assembling tasks using entropy signal clustering
Chao-Lung Yang, Shang-Che Hsu, Yu-Chung Kang, et al.
Journal of Intelligent Manufacturing (2024)
Closed Access | Times Cited: 1
Fault detection method based on adversarial reinforcement learning
LI Jun-huai, Wu Yunwen, Huaijun Wang, et al.
Frontiers in Computer Science (2023) Vol. 4
Open Access | Times Cited: 3
Prediction Models for Car Theft Detection Using CCTV Cameras and Machine Learning: A Systematic Review of the Literature
Joseph Ramses Méndez Cam, Félix Melchor Santos López, Víctor Genaro Rosales Urbano, et al.
Lecture notes in networks and systems (2023), pp. 184-200
Closed Access | Times Cited: 3
Anomaly Detection by Predicting Future Frames using Convolutional LSTM in Video Surveillance
Devashree R. Patrikar, Mayur Rajaram Parate
(2023), pp. 1-6
Closed Access | Times Cited: 2
Review of the Deep Learning Models for Anomaly Detection-Based Video Scrutiny System
Jyoti Kukade, Prashant Panse
Lecture notes in networks and systems (2024), pp. 235-252
Closed Access
Unsupervised Learning Methods for Human Abnormal Behavior Detection in Surveillance Systems; A Survey
Leonard Matheus Wastupranata
(2024)
Open Access
Abnormal behavior recognition using SRU with attention mechanism
Nian Chi Tay, Tee Connie, Thian Song Ong, et al.
International Journal of Advances in Intelligent Informatics (2024) Vol. 10, Iss. 2, pp. 202-202
Open Access
THEFT DETECTION WITH CRIMINAL IDENTIFICATION USING MACHINE LEARNING
K. Gowsic, Ramasamy Thilagavathi, A. Velmurugan, et al.
ShodhKosh Journal of Visual and Performing Arts (2024) Vol. 5, Iss. 5
Closed Access
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