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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 practical wearable fall detection system based on tiny convolutional neural networks
Xiaoqun Yu, Seonghyeok Park, Doil Kim, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105325-105325
Closed Access | Times Cited: 22

Showing 22 citing articles:

A comprehensive review of elderly fall detection using wireless communication and artificial intelligence techniques
Sadik Kamel Gharghan, Huda Ali Hashim
Measurement (2024) Vol. 226, pp. 114186-114186
Closed Access | Times Cited: 15
Fall Detection Systems for Internet of Medical Things Based on Wearable Sensors: A Review
Zhiyuan Jiang, Mohammed A. A. Al‐qaness, Dalal AL-Alimi, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 21, pp. 34797-34810
Closed Access | Times Cited: 5
AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests
Ghita Yammouri, Abdellatif Ait Lahcen
Journal of Personalized Medicine (2024) Vol. 14, Iss. 11, pp. 1088-1088
Open Access | Times Cited: 5
A Real-time Skeleton-based Fall Detection Algorithm based on Temporal Convolutional Networks and Transformer Encoder
Xiaoqun Yu, Chenfeng Wang, Wenyu Wu, et al.
Pervasive and Mobile Computing (2025), pp. 102016-102016
Closed Access
TinyML and Federated Learning for Resource-Constrained Medical Devices
Pietro Fusco, Gennaro Pio Rimoli, Massimo Ficco
(2025), pp. 113-126
Closed Access
A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention
Sarita Sahni, Sweta Jain, Sri Khetwat Saritha
Automatika (2025) Vol. 66, Iss. 2, pp. 103-116
Open Access
Enhancing Slip, Trip, and Fall Prevention: Real-World Near-Fall Detection with Advanced Machine Learning Technique
Moritz Schneider, Kevin Seeser-Reich, Armin Fiedler, et al.
Sensors (2025) Vol. 25, Iss. 5, pp. 1468-1468
Open Access
A real-time system for fall prediction and protection with spatio-temporal graph neural network using multiple motion sensors
Li Liu, Haoyu Xie, Xiaohu Li, et al.
Expert Systems with Applications (2025), pp. 127549-127549
Closed Access
Development of artificial intelligence edge computing based wearable device for fall detection and prevention of elderly people
Paramasivam Alagumariappan, Ferlin Deva Shahila D, M Jenath, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e28688-e28688
Open Access | Times Cited: 4
A spatio-temporal graph neural network for fall prediction with inertial sensors
Shu Wang, Xiaohu Li, Guorui Liao, et al.
Knowledge-Based Systems (2024) Vol. 293, pp. 111709-111709
Closed Access | Times Cited: 2
Cross-dataset evaluation of wearable fall detection systems using data from real falls and long-term monitoring of daily life
Carlos A. Silva, E. Casilari, Rodolfo García−Bermúdez
Measurement (2024) Vol. 235, pp. 114992-114992
Open Access | Times Cited: 2
Ambient energy harvesters in wearable electronics: fundamentals, methodologies, and applications
Ruoyao Yu, Shaoqing Feng, Qingwen Sun, et al.
Journal of Nanobiotechnology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
A New Chaotic Memristor-Based Cryptosystem for Secure Bio-Signal Transmission on Low-Cost Hardware
Achraf Daoui, Mohamed Yamni, Paweł Pławiak, et al.
IEEE Access (2024) Vol. 12, pp. 78939-78958
Open Access | Times Cited: 1
Pedestrian Fall Detection Methods for Public Traffic Areas: Literature Review
Rongyong Zhao, Wenjie Zhu, Chuanfeng Han, et al.
(2024)
Open Access | Times Cited: 1
A Privacy-Preserving AIoT Framework for Fall Detection and Classification Using Hierarchical Learning With Multi-Level Feature Fusion
Sara Mobsite, Nabih Alaoui, Mohammed Boulmalf, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 15, pp. 26531-26547
Closed Access | Times Cited: 1
Advancements in Fall Detection Technologies: A Comprehensive Review and Innovative Solutions
Indranil Basu, Sattwiki Ray, Sayantan Sarkar, et al.
(2023), pp. 1-3
Closed Access | Times Cited: 2
An Efficient Skeleton-Based Fall Detection Algorithm Using Temporal Convolutional Networks with Transformer Encoder
Xiaoqun Yu, Chenfeng Wang, Wenyu Wu, et al.
(2024)
Closed Access
TExNet: Long Short-Term Fast Fall Detection Based on Attention Enhancement and Self-Adaption
Yixin Ding, Bowen Fang, Ran Gao, et al.
(2024)
Closed Access
Exploring Human Activity Patterns: Investigating Feature Extraction Techniques for Improved Recognition with ANN
Walid Ayadi, Amine Saidi, Ines Channoufi
(2024), pp. 188-193
Closed Access
A method for constructing an ergonomics evaluation indicator system for community aging services based on Kano-Delphi-CFA: A case study in China
Yixuan Liu, Jinchun Wu, Qianshu Fu, et al.
Advanced Engineering Informatics (2024) Vol. 62, pp. 102842-102842
Closed Access
Pedestrian Fall Detection Methods for Public Traffic Areas: A Literature Review
Rongyong Zhao, Wenjie Zhu, Chuanfeng Han, et al.
Applied Sciences (2024) Vol. 14, Iss. 19, pp. 8934-8934
Open Access
Continuous Wearable-based Fall Detection using Tiny Machine Learning
Duan Luong Cong, Bien Nguyen Quang, Dang Thi Minh, et al.
(2024), pp. 339-344
Closed Access
A Vision-Based Approach to Enhance Fall Detection with Fine-Tuned Faster R-CNN
Aayushi Bansal, Rewa Sharma, Mamta Kathuria
(2023), pp. 678-684
Closed Access
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