Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

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

Showing 10 citing articles:

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
A Review of Abnormal Behaviour Detection in Crowd for Video Surveillance: Advances and Trends, Datasets, Opportunities and Prospects
A. Jency, K. Ramar
Expert Systems (2025) Vol. 42, Iss. 4
Closed Access
A novel Voronoi-based convolutional neural network framework for pushing person detection in crowd videos
Ahmed Alia, Mohammed Maree, Mohcine Chraibi, et al.
Complex & Intelligent Systems (2024) Vol. 10, Iss. 4, pp. 5005-5031
Open Access | Times Cited: 4
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
Abnormal Crowd Behaviour Detection in Surveillance Videos Using Spatiotemporal Inter-Fused Autoencoder
D. Sampath, Krishna Kumar
International journal of intelligent engineering and systems (2023) Vol. 16, Iss. 6, pp. 470-481
Open Access | Times Cited: 3
Video Anomaly Detection Based on HSOE-FAST Modified Deep Neural Network
Anil Kumar Gupta, Rupak Sharma, Rudra Pratap Ojha
SN Computer Science (2024) Vol. 5, Iss. 5
Closed Access
Towards Transfer Learning Based Human Anomaly Detection in Videos
Aishvarya Garg, Swati Nigam, Rajiv Singh
Lecture notes in networks and systems (2024), pp. 411-425
Closed Access
Knowledge Development Trajectories of Intelligent Video Surveillance Domain: An Academic Study Based on Citation and Main Path Analysis
Fei-Lung Huang, Kai-Ying Chen, Wei-Hao Su
Sensors (2024) Vol. 24, Iss. 7, pp. 2240-2240
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
Page 1

Scroll to top