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 study of the influence of the sensor sampling frequency on the performance of wearable fall detectors
Jose A.Santoyo-Ramón, E. Casilari, José Manuel Bermúdez Cano
Measurement (2022) Vol. 193, pp. 110945-110945
Open Access | Times Cited: 25

Showing 25 citing articles:

Triboelectric nanogenerators for wearable sensing applications: A system level analysis
R.L. Bulathsinghala, Wen Ding, R.D.I.G. Dharmasena
Nano Energy (2023) Vol. 116, pp. 108792-108792
Open Access | Times Cited: 30

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

Optimisation of the sampling frequency of tilt sensors for building safety monitoring
Jinghai Xu, Dong Zhang, Craig Hancock, et al.
Survey Review (2025), pp. 1-16
Closed Access

Detection of important features and comparison of datasets for fall detection based on wrist-wearable devices
Jeong-Kyun Kim, Kangbok Lee, Sang Gi Hong
Expert Systems with Applications (2023) Vol. 234, pp. 121034-121034
Closed Access | Times Cited: 11

A Novel Heuristic Fall-Detection Algorithm Based on Double Thresholding, Fuzzy Logic, and Wearable Motion Sensor Data
Billur Barshan, Mustafa Şahin Turan
IEEE Internet of Things Journal (2023) Vol. 10, Iss. 20, pp. 17797-17812
Closed Access | Times Cited: 9

Real-Time AI-Driven Fall Detection Method for Occupational Health and Safety
Anastasiya Danilenka, Piotr Sowiński, Kajetan Rachwał, et al.
Electronics (2023) Vol. 12, Iss. 20, pp. 4257-4257
Open Access | Times Cited: 7

A New Approach for Human Activity Recognition (HAR) Using A Single Tri-axial Accelerometer Based on a Combination of Three Feature Subsets
Made Liandana, Dandy Pramana Hostiadi, Gede Angga Pradipta
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 235-250
Open 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

An Elderly Fall Detection Method Based on Federated Learning and Extreme Learning Machine (Fed-ELM)
Zhigang Yu, Jiahui Liu, Mingchuan Yang, et al.
IEEE Access (2022) Vol. 10, pp. 130816-130824
Closed Access | Times Cited: 12

A Federated Digital Twin Framework for UAVs-Based Mobile Scenarios
Longyu Zhou, Supeng Leng, Qing Wang
IEEE Transactions on Mobile Computing (2023) Vol. 23, Iss. 6, pp. 7377-7393
Closed Access | Times Cited: 5

Enhancing Elderly Care with Wearable Technology: Development of a Dataset for Fall Detection and ADL Classification During Muslim Prayer Activities
Mutasem Jarrah, Abdelmoughni Toubal, Billel Bengherbia
Arabian Journal for Science and Engineering (2024)
Closed Access | Times Cited: 1

Machine Learning Techniques for Context-Aware Human Activity Recognition: A Feasibility Study
John C. Mitchell, Abbas A. Dehghani-Sanij, Sheng Quan Xie, et al.
2021 27th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (2024), pp. 1-6
Closed Access | Times Cited: 1

Pre-Impact Firefighter Fall Detection Using Machine Learning on the Edge
Xiaoqing Chai, Boon Giin Lee, Matthew Pike, et al.
IEEE Sensors Journal (2023) Vol. 23, Iss. 13, pp. 14997-15009
Closed Access | Times Cited: 3

Fall detection based on interpretation of important features with wrist-wearable sensors
Jeong-Kyun Kim, Dasom Oh, Kangbok Lee, et al.
Proceedings of the 28th Annual International Conference on Mobile Computing And Networking (2022), pp. 823-825
Closed Access | Times Cited: 3

Optimizing Behavior Classification Model Performance Through Sensor Data Augmentation Using K-Equidistant Partitioning
Jeong Hyeon Park, Nammee Moon
Lecture notes in electrical engineering (2024), pp. 407-413
Closed Access

Optimal Sensor Data Resampling for Anomaly Detection in Industrial Control Systems
Ermiyas Birihanu Belachew, Imre Lendák
Lecture notes in electrical engineering (2024), pp. 697-710
Closed Access

Wavelet Entropy and Support Vector Machine Multi-Class Fall Detection Based on IMU Wearable Sensors Data
Safa Hussein Mohammed, Guoyun Lv, Yangyu Fan, et al.
(2024), pp. 271-275
Closed Access

Design of Wearable Fall Detection System
Meijiao Wang, Qi Sun, Xiaoqiang Ji
2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) (2024), pp. 21-24
Closed Access

Correlation of Acceleration Curves in Gravitational Direction for Different Body Segments during High-Impact Jumping Exercises
Lukas Reinker, Dominic Bläsing, Rudolf Bierl, et al.
Sensors (2023) Vol. 23, Iss. 4, pp. 2276-2276
Open Access

Human activity recognition method using joint deep learning and acceleration signal
Maytham N. Meqdad, Abdullah Hasan Hussein, Saif O. Husain, et al.
IAES International Journal of Artificial Intelligence (2023) Vol. 12, Iss. 3, pp. 1459-1459
Open Access

Зчитування сигналів сенсорів із автоматичним вибором частоти дискретизації
Serhiy Balovsyak, Vitaly Lacusta, Khrystyna S. Odaiska
Security of Infocommunication Systems and Internet of Things (2023), Iss. 1, pp. 01010-01010
Open Access

Assessment of abdominal rehabilitation for diastasis recti abdominis using ensemble autoencoder
Menaka Radhakrishnan, Vinitha Joshy Premkumar, Mohan Teja Guddimettla, et al.
DELETED (2023) Vol. 89, Iss. 4, pp. 891-901
Closed Access

On-wrist Based Datasets Exploration for an IoT Wearable Fall Detection
Farah Othmen, Mouna Baklouti, André Eugênio Lazzaretti
Communications in computer and information science (2022), pp. 501-514
Closed Access

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