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 Robust and Automated Vision-Based Human Fall Detection System Using 3D Multi-Stream CNNs with an Image Fusion Technique
Thamer Alanazi, Khalid Babutain, Ghulam Muhammad
Applied Sciences (2023) Vol. 13, Iss. 12, pp. 6916-6916
Open Access | Times Cited: 16

Showing 16 citing articles:

A review on infrared and visible image fusion algorithms based on neural networks
Kaixuan Yang, Xiang Wei, Zhenshuai Chen, et al.
Journal of Visual Communication and Image Representation (2024) Vol. 101, pp. 104179-104179
Open Access | Times Cited: 8

Human Fall Detection Using Transfer Learning-Based 3D CNN
Ekram Alam, Abu Sufian, Paramartha Dutta, et al.
Communications in computer and information science (2025), pp. 102-113
Closed Access

Fall Recognition Based on Time-Level Decision Fusion Classification
Ju‐Young Kim, Beomseong Kim, Heesung Lee
Applied Sciences (2024) Vol. 14, Iss. 2, pp. 709-709
Open Access | Times Cited: 2

A systematic review on fall detection systems for elderly healthcare
Archana Purwar, Indu Chawla
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 43277-43302
Closed Access | Times Cited: 5

Mitigating human fall injuries: A novel system utilizing 3D 4-stream convolutional neural networks and image fusion
Thamer Alanazi, Khalid Babutain, Ghulam Muhammad
Image and Vision Computing (2024) Vol. 148, pp. 105153-105153
Closed Access | Times Cited: 1

An Interpretable Modular Deep Learning Framework for Video-Based Fall Detection
Micheal Dutt, Aditya Gupta, Morten Goodwin, et al.
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4722-4722
Open Access

Vision-based Human Fall Detection Systems: A Review
Asma Benkaci, Layth Sliman, Hachemi Nabil Dellys
Procedia Computer Science (2024) Vol. 241, pp. 203-211
Open Access

A Hybrid Visionary for Unveiling Human Motion in the Face of Occlusion with Mask R-CNN, RNN, and MHT
Jeba Nega Cheltha, Chirag Sharma
International Journal of Electronics and Communication Engineering (2024) Vol. 11, Iss. 2, pp. 92-102
Open Access

AI Integrated With IoT System for Continuous Elderly Fall Detection Using SmartFallSentry System
R. P. Ram Kumar, Manasa Vanam, P. Gopala Krishna, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 162-173
Closed Access

Visual Fall Detection Analysis Through Computer Vision and Deep Learning – Technology Proposition
C Kiranmai, B. Sathwika D. Srivalli, CH Komali, et al.
International Journal of Recent Technology and Engineering (IJRTE) (2024) Vol. 13, Iss. 1, pp. 1-4
Closed 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

Enhanced human motion detection with hybrid RDA-WOA-based RNN and multiple hypothesis tracking for occlusion handling
Jeba Nega Cheltha, Chirag Sharma, Deepak Prashar, et al.
Image and Vision Computing (2024) Vol. 150, pp. 105234-105234
Closed Access

Survey on data fusion approaches for fall-detection
Ehsan Rassekh, Lauro Snidaro
Information Fusion (2024), pp. 102696-102696
Closed Access

Fall Detection in Q-eBall: Enhancing Gameplay Through Sensor-Based Solutions
Zeyad Aklah, Hussein T. Hassan, Amean Al-Safi, et al.
Journal of Sensor and Actuator Networks (2024) Vol. 13, Iss. 6, pp. 77-77
Open Access

An Extreme Gradient Boosting Approach for Elderly Falls Classification
Paulo Monteiro de Carvalho Monson, Vinícius Dias, G. Sousa, et al.
(2024), pp. 91-91
Open Access

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