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:

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

Showing 23 citing articles:

An Analysis of Artificial Intelligence Techniques in Surveillance Video Anomaly Detection: A Comprehensive Survey
Erkan Şengönül, Refik Samet, Qasem Abu Al‐Haija, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 4956-4956
Open Access | Times Cited: 36

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

Vision-Based Classification of Human Activities Using 2D CNN and Bidirectional LSTM
Miguel Fernandes, Hassan Ali, Geetanjali Bhola
(2025), pp. 113-132
Closed Access

Enhancing video surveillance for crime detection using anomaly detection techniques
Eerenti Chandu, K.V. Pradeep Kumar, Kamal Kumar, et al.
AIP conference proceedings (2025) Vol. 3175, pp. 020070-020070
Closed Access

A Comprehensive Survey of Machine Learning Methods for Surveillance Videos Anomaly Detection
Nomica Choudhry, Jemal Abawajy, Shamsul Huda, et al.
IEEE Access (2023) Vol. 11, pp. 114680-114713
Open Access | Times Cited: 13

Context Aware Crowd Tracking and Anomaly Detection via Deep Learning and Social Force Model
Faisal Abdullah, Maha Abdelhaq, Raed Alsaqour, et al.
IEEE Access (2023) Vol. 11, pp. 75884-75898
Open Access | Times Cited: 10

Multi-Pedestrians Anomaly Detection via Conditional Random Field and Deep Learning
Faisal Abdullah, Ahmad Jalal
(2023)
Closed Access | Times Cited: 8

Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network
Sarah Altowairqi, Suhuai Luo, Peter B. Greer, et al.
Applied Sciences (2024) Vol. 14, Iss. 9, pp. 3928-3928
Open Access | Times Cited: 2

Crowd Density Level Estimation and Anomaly Detection Using Multicolumn Multistage Bilinear Convolution Attention Network (MCMS-BCNN-Attention)
E. M. C. L. Ekanayake, Yunqi Lei, Cuihua Li
Applied Sciences (2022) Vol. 13, Iss. 1, pp. 248-248
Open Access | Times Cited: 10

Multimedia datasets for anomaly detection: a review
Pratibha Kumari, Anterpreet Kaur Bedi, Mukesh Saini
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 56785-56835
Closed Access | Times Cited: 5

A Tracklet-before-Clustering Initialization Strategy Based on Hierarchical KLT Tracklet Association for Coherent Motion Filtering Enhancement
Sami Abdulla Mohsen Saleh, A. Halim Kadarman, Shahrel Azmin Suandi, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1075-1075
Open Access | Times Cited: 4

Human activity-based anomaly detection and recognition by surveillance video using kernel local component analysis with classification by deep learning techniques
M. D. Anto Praveena, Pamula Udayaraju, R. Krishna Chaitanya, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 82419-82437
Closed Access | Times Cited: 1

Web-Based Anomaly Detection for Smart Urban Living: Drone Photography and Videography
Davy Ronald Hermanus, Suhono Harso Supangkat, Fadhil Hidayat
Jurnal Sistem Cerdas (2023) Vol. 6, Iss. 2, pp. 144-152
Open Access | Times Cited: 2

Tracking and Computation of Characteristics of the Movement of People in Groups on Video Using Convolutional Neural Networks
Huafeng Chen, A. Krytsky, Shiping Ye, et al.
Optical Memory and Neural Networks (2024) Vol. 33, Iss. 4, pp. 373-384
Closed Access

Air-CAD: Edge-Assisted Multi-Drone Network for Real-time Crowd Anomaly Detection
Yuanzheng Tan, Qing Li, Junkun Peng, et al.
Proceedings of the ACM Web Conference 2022 (2024), pp. 2817-2825
Closed Access

A survey of video-based human action recognition in team sports
Hongwei Yin, Richard Sinnott, Glenn Jayaputera
Artificial Intelligence Review (2024) Vol. 57, Iss. 11
Open Access

An Efficient Real Time Anomaly Detection in Surveillance Videos Using PRU-DPCN Classifier
K Chidananda, Ashwini Kumar
SN Computer Science (2024) Vol. 6, Iss. 1
Closed Access

High Density Crowd Scene Detection in Untrimmed Streaming Videos for Surveillance Purpose
Andrei - Cosmin Jitaru, Bogdan Ionescu
2022 14th International Conference on Electronics, Computers and Artificial Intelligence (ECAI) (2023), pp. 1-6
Closed Access

PA2Dnet based ensemble classifier for the detection of crowd anomaly detection
Kavitapu Naga Siva Sankara Vara Prasad, D. Haritha
Multimedia Tools and Applications (2023) Vol. 83, Iss. 18, pp. 53635-53653
Closed Access

Human-Centered Evaluation of Anomalous Events Detection in Crowded Environments
Giulia Orrù, Elia Porcedda, Simone Maurizio La Cava, et al.
(2023), pp. 1-6
Closed Access

Real-Time Employee Monitoring System using CCTV Cameras
G Harshavardhan, Nongmeikapam Thoiba Singh, Asem Debala Chanu
2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES) (2023), pp. 1-7
Closed Access

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