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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 semi-supervised deep learning based video anomaly detection framework using RGB-D for surveillance of real-world critical environments
Pushpajit Khaire, Praveen Kumar
Forensic Science International Digital Investigation (2022) Vol. 40, pp. 301346-301346
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Yassine Himeur, Somaya Al‐Maadeed, Hamza Kheddar, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 119, pp. 105698-105698
Open Access | Times Cited: 72
Squirrel search method for deep learning-based anomaly identification in videos
Laxmikant Malphedwar, T. Rajesh Kumar
Bulletin of Electrical Engineering and Informatics (2024) Vol. 13, Iss. 2, pp. 1197-1206
Open Access | Times Cited: 9
A Hybrid Multimodal Emotion Recognition Framework for UX Evaluation Using Generalized Mixture Functions
Muhammad Asif Razzaq, Jamil Hussain, Jaehun Bang, et al.
Sensors (2023) Vol. 23, Iss. 9, pp. 4373-4373
Open Access | Times Cited: 12
IoT Anomaly Detection to Strengthen Cybersecurity in the Critical Infrastructure of Smart Cities
William Villegas-Ch, Jaime Govea, Ángel Jaramillo-Alcázar
Applied Sciences (2023) Vol. 13, Iss. 19, pp. 10977-10977
Open Access | Times Cited: 10
Addressing Mild Cognitive Impairment and Boosting Wellness for the Elderly through Personalized Remote Monitoring
Marilena Ianculescu, Elena-Anca Paraschiv, Adriana Alexandru
Healthcare (2022) Vol. 10, Iss. 7, pp. 1214-1214
Open Access | Times Cited: 17
A Gated Recurrent Unit Deep Learning Model to Detect and Mitigate Distributed Denial of Service and Portscan Attacks
Daniel Matheus Brandão Lent, Matheus P. Novaes, Luiz F. Carvalho, et al.
IEEE Access (2022) Vol. 10, pp. 73229-73242
Open Access | Times Cited: 16
Billiard based optimization with deep learning driven anomaly detection in internet of things assisted sustainable smart cities
P. Manickam, M. Girija, Sailesh Sathish, et al.
Alexandria Engineering Journal (2023) Vol. 83, pp. 102-112
Open Access | Times Cited: 8
Real‐time video anomaly detection for smart surveillance
Manal Mostafa Ali
IET Image Processing (2022) Vol. 17, Iss. 5, pp. 1375-1388
Open Access | Times Cited: 13
X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments
DongKi Noh, Changki Sung, Taeyoung Uhm, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 2, pp. 1093-1100
Open Access | Times Cited: 7
YOLOv3-based human detection and heuristically modified-LSTM for abnormal human activities detection in ATM machine
Aniruddha Prakash Kshirsagar, H. Azath
Journal of Visual Communication and Image Representation (2023) Vol. 95, pp. 103901-103901
Closed Access | Times Cited: 7
Fight detection with spatial and channel wise attention‐based ConvLSTM model
Kunal Chaturvedi, Chhavi Dhiman, Dinesh Kumar Vishwakarma
Expert Systems (2023) Vol. 41, Iss. 1
Closed Access | Times Cited: 7
An efficient convolutional neural network for detecting the crime of stealing in videos
Nischita Waddenkery, Shridevi Soma
Entertainment Computing (2024) Vol. 51, pp. 100723-100723
Closed Access | Times Cited: 2
Anomaly detection in surveillance videos based on H265 and deep learning
Zainab Abbas, Ayad A. Al-Ani
International Journal of Advanced Technology and Engineering Exploration (2022) Vol. 9, Iss. 92
Open Access | Times Cited: 10
Fast anomaly detection in video surveillance system using robust spatiotemporal and deep learning methods
Vijay A. Kotkar, V. Sucharita
Multimedia Tools and Applications (2023) Vol. 82, Iss. 22, pp. 34259-34286
Closed Access | Times Cited: 5
Online Video Anomaly Detection
Yuxing Zhang, Jinchen Song, Yuehan Jiang, et al.
Sensors (2023) Vol. 23, Iss. 17, pp. 7442-7442
Open Access | Times Cited: 5
CMOT: A cross-modality transformer for RGB-D fusion in person re-identification with online learning capabilities
Hamza Mukhtar, Muhammad Usman Ghani Khan
Knowledge-Based Systems (2023) Vol. 283, pp. 111155-111155
Closed Access | Times Cited: 5
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
Point Cloud Video Anomaly Detection Based on Point Spatiotemporal Autoencoder
Tengjiao He, Wenguang Wang, Guoqi Zeng
IEEE Sensors Journal (2024) Vol. 24, Iss. 13, pp. 20884-20895
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
An intelligent unsupervised anomaly detection in videos using inception capsule auto encoder
Harshadkumar S. Modi, Dhaval A. Parikh
The Imaging Science Journal (2023) Vol. 72, Iss. 2, pp. 267-284
Closed Access | Times Cited: 3
A Comparative Study of Unsupervised Anomaly Detection Algorithms used in a Small and Medium-Sized Enterprise
Irina Petrariu, Adrian Moscaliuc, Cristina Elena Turcu, et al.
International Journal of Advanced Computer Science and Applications (2022) Vol. 13, Iss. 9
Open Access | Times Cited: 4
Spatial Attention Transformer Based Framework for Anomaly Classification in Image Sequences
Aishvarya Garg, Swati Nigam, Rajiv Singh, et al.
Lecture notes in computer science (2024), pp. 53-64
Closed Access
Advancement and Development of Graph-Based Reasoning Method for Human Malicious Behaviors Identification Based on Graph Contrastive Representation Learning
Zhan Li, Xingyu Song, Shi Chen, et al.
(2024)
Closed Access
Armed boundary sabotage: A case study of human malicious behaviors identification with computer vision and explainable reasoning methods
Zhan Li, Xingyu Song, Shi Chen, et al.
Computers & Electrical Engineering (2024) Vol. 121, pp. 109924-109924
Closed Access
Armed Boundary Sabotage: A Case Study of Human Malicious Behaviors Identification with Computer Vision and Explainable Reasoning Methods
Zhan Li, Xingyu Song, Shi Chen, et al.
(2024)
Closed Access
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