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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:

A comprehensive review on deep learning-based methods for video anomaly detection
Rashmiranjan Nayak, Umesh Chandra Pati, Santos Kumar Das
Image and Vision Computing (2020) Vol. 106, pp. 104078-104078
Closed Access | Times Cited: 207

Showing 26-50 of 207 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: 20
Spatial–temporal graph attention network for video anomaly detection
Haoyang Chen, Xue Mei, Zhiyuan Ma, et al.
Image and Vision Computing (2023) Vol. 131, pp. 104629-104629
Closed Access | Times Cited: 19
IoMT-Assisted Medical Vehicle Routing Based on UAV-Borne Human Crowd Sensing and Deep Learning in Smart Cities
Khosro Rezaee, Mohammad R. Khosravi, Hani Attar, et al.
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 21, pp. 18529-18536
Closed Access | Times Cited: 18
Bi-READ: Bi-Residual AutoEncoder based feature enhancement for video anomaly detection
Rangachary Kommanduri, Mrinmoy Ghorai
Journal of Visual Communication and Image Representation (2023) Vol. 95, pp. 103860-103860
Closed Access | Times Cited: 15
Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives
Deepak Adhikari, Wei Jiang, Jinyu Zhan, et al.
Computer Science Review (2024) Vol. 54, pp. 100665-100665
Closed Access | Times Cited: 6
Video anomaly detection based on a multi-layer reconstruction autoencoder with a variance attention strategy
Shifeng Li, Cheng Yan, Liang Zhang, et al.
Image and Vision Computing (2024) Vol. 146, pp. 105011-105011
Closed Access | Times Cited: 5
Video anomaly detection: A systematic review of issues and prospects
Yau Alhaji Samaila, Patrick Sebastian, Narinderjit Singh Sawaran Singh, et al.
Neurocomputing (2024) Vol. 591, pp. 127726-127726
Closed Access | Times Cited: 5
Deep learning based anomaly detection in real-time video
Ahmed Elmetwally, Reem El-Deeb, Samir Elmougy
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 5
Review on Fault Diagnosis and Fault-Tolerant Control Scheme for Robotic Manipulators: Recent Advances in Ai, Machine Learning, and Digital Twin
Md Muzakkir Quamar, Ali Nasir
(2024)
Open Access | Times Cited: 5
Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism
Xiaolan Wang
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Application of human activity/action recognition: a review
Nazanin sedaghati, Sondos ardebili, Ali Ghaffari
Multimedia Tools and Applications (2025)
Open Access
AnomLite: Efficient Binary and Multiclass Video Anomaly Detection
Anna K. Zvereva, M. S. Kaprielova, Andrey Grabovoy
Results in Engineering (2025), pp. 104162-104162
Open Access
Exploring the Magnitude-Shape Plot Framework for Anomaly Detection in Crowded Video Scenes
Z. Jane Wang, Fouzi Harrou, Ying Sun, et al.
(2025)
Open Access
WoodAD: A New Dataset and a Comparison of Deep Learning Approaches for Wood Anomaly Detection
Omar Del Tejo Catalá, Javier Perez, Nicolas Garcia, et al.
Expert Systems (2025) Vol. 42, Iss. 3
Closed Access
A Scalable and Generalised Deep Learning Framework for Anomaly Detection in Surveillance Videos
Sabah Abdulazeez Jebur, Laith Alzubaidi, Ahmed Saihood, et al.
International Journal of Intelligent Systems (2025) Vol. 2025, Iss. 1
Open Access
Deep Autoencoder Neural Networks: A Comprehensive Review and New Perspectives
Ibomoiye Domor Mienye, Theo G. Swart
Archives of Computational Methods in Engineering (2025)
Open Access
Deep Video Anomaly Detection: Opportunities and Challenges
Jing Ren, Feng Xia, Yemeng Liu, et al.
2021 International Conference on Data Mining Workshops (ICDMW) (2021), pp. 959-966
Open Access | Times Cited: 38
Unsupervised Deep Learning to Detect Agitation From Videos in People With Dementia
Shehroz S. Khan, Pratik K. Mishra, Nizwa Javed, et al.
IEEE Access (2022) Vol. 10, pp. 10349-10358
Open Access | Times Cited: 25
Taxonomy of Anomaly Detection Techniques in Crowd Scenes
Amnah Aldayri, Waleed Albattah
Sensors (2022) Vol. 22, Iss. 16, pp. 6080-6080
Open Access | Times Cited: 23
Online human action detection and anticipation in videos: A survey
Xuejiao Hu, Jingzhao Dai, Ming Li, et al.
Neurocomputing (2022) Vol. 491, pp. 395-413
Closed Access | Times Cited: 22
A Novel GAN-Based Anomaly Detection and Localization Method for Aerial Video Surveillance at Low Altitude
Danilo Avola, Irene Cannistraci, Marco Cascio, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4110-4110
Open Access | Times Cited: 22
Prime: Privacy-preserving video anomaly detection via Motion Exemplar guidance
Yong Su, Haohao Zhu, Yuyu Tan, et al.
Knowledge-Based Systems (2023) Vol. 278, pp. 110872-110872
Closed Access | Times Cited: 13
Delving into CLIP latent space for Video Anomaly Recognition
Luca Zanella, Benedetta Liberatori, Willi Menapace, et al.
Computer Vision and Image Understanding (2024), pp. 104163-104163
Closed Access | Times Cited: 4
Vision-Based Traffic Accident Detection and Anticipation: A Survey
Jianwu Fang, Jiahuan Qiao, Jianru Xue, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2023) Vol. 34, Iss. 4, pp. 1983-1999
Open Access | Times Cited: 11
Spatio-temporal based video anomaly detection using deep neural networks
Rajeev Kumar Chaurasia, Umesh Chandra Jaiswal
International Journal of Information Technology (2023) Vol. 15, Iss. 3, pp. 1569-1581
Closed Access | Times Cited: 10

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