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:

Prospective elderly fall prediction by older-adult fall-risk modeling with feature selection
Jennifer Howcroft, Edward D. Lemaire, Jonathan Kofman
Biomedical Signal Processing and Control (2018) Vol. 43, pp. 320-328
Closed Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Deep Learning for Fall Risk Assessment With Inertial Sensors: Utilizing Domain Knowledge in Spatio-Temporal Gait Parameters
Can Tunca, Gülüstü Salur, Cem Ersoy
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 7, pp. 1994-2005
Closed Access | Times Cited: 90

A Systematic Review of Wearable Sensor-Based Technologies for Fall Risk Assessment in Older Adults
Manting Chen, Hailiang Wang, Lisha Yu, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6752-6752
Open Access | Times Cited: 36

Fall Risk Assessment Using Wearable Sensors: A Narrative Review
R. Ferreira, Nuno Ferrete Ribeiro, Cristina P. Santos
Sensors (2022) Vol. 22, Iss. 3, pp. 984-984
Open Access | Times Cited: 30

A systematic review of artificial neural network techniques for analysis of foot plantar pressure
Chongguang Wang, Kerrie Evans, Dean S. Hartley, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 197-208
Open Access | Times Cited: 4

Accurate fall risk classification in elderly using one gait cycle data and machine learning
Daisuke Nishiyama, Satoshi Arita, Daisuke Fukui, et al.
Clinical Biomechanics (2024) Vol. 115, pp. 106262-106262
Closed Access | Times Cited: 4

Revisiting sensor-based intelligent fall risk assessment for older people: A systematic review
Xiaoqun Yu, Yuqing Cai, Rong Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 144, pp. 110176-110176
Closed Access

Advancing Ai-powered Wearables: a Novel Approach for Real-time Health Monitoring
Bhavani Sankar Telaprolu
Research Square (Research Square) (2025)
Closed Access

Assessment of Movement Disorders in the Elderly Based on Skeletal Action Recognition
Yangwei Ying, Haotian Wang, Jun Liao, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1437-1437
Open Access

MhNet: Multi-scale spatio-temporal hierarchical network for real-time wearable fall risk assessment of the elderly
Shibin Wu, Jianlin Ou, Lin Shu, et al.
Computers in Biology and Medicine (2022) Vol. 144, pp. 105355-105355
Closed Access | Times Cited: 19

Dual-Task Elderly Gait of Prospective Fallers and Non-Fallers: A Wearable-Sensor Based Analysis
Jennifer Howcroft, Edward D. Lemaire, Jonathan Kofman, et al.
Sensors (2018) Vol. 18, Iss. 4, pp. 1275-1275
Open Access | Times Cited: 32

Falls Risk Classification of Older Adults Using Deep Neural Networks and Transfer Learning
Matthew Martinez, Phillip L. De León
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 1, pp. 144-150
Open Access | Times Cited: 31

Analysis of traffic accident causes based on data augmentation and ensemble learning with high-dimensional small-sample data
Leipeng Zhu, Zhiqing Zhang, Dongdong Song, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121782-121782
Closed Access | Times Cited: 9

Prediction of Freezing of Gait in Parkinson’s Disease from Foot Plantar-Pressure Arrays using a Convolutional Neural Network
Gaurav Shalin, Scott Pardoel, Julie Nantel, et al.
(2020), pp. 244-247
Closed Access | Times Cited: 26

On the feature extraction process in machine learning. An experimental study about guided versus non-guided process in falling detection systems
Elena Escobar-Linero, Francisco Luna-Perejón, Luis Muñoz-Saavedra, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105170-105170
Open Access | Times Cited: 13

Predictability of Fall Risk Assessments in Community-Dwelling Older Adults: A Scoping Review
N. F. J. Waterval, Cindy Claassen, F.C.T. van der Helm, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7686-7686
Open Access | Times Cited: 7

Electromyography and dynamometry in the prediction of risk of falls in the elderly using machine learning tools
Daniele Alves da Silva, Nayra Ferreira Lima Castelo Branco, Laiana Sepúlveda de Andrade Mesquita, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105635-105635
Closed Access | Times Cited: 6

Improved screening of fall risk using free-living based accelerometer data
Daniel Kelly, Joan Condell, James B. Gillespie, et al.
Journal of Biomedical Informatics (2022) Vol. 131, pp. 104116-104116
Open Access | Times Cited: 6

A machine learning approach to identify fall risk for older adults
Prithwi Raj Chakraborty, Golam Sorwar
Smart Health (2022) Vol. 26, pp. 100303-100303
Closed Access | Times Cited: 6

Fusion of Dual Sensor Features for Fall Risk Assessment with Improved Attention Mechanism
Congcong Li, Yueting Cai, Yifan Li, et al.
Traitement du signal (2024) Vol. 41, Iss. 1, pp. 73-83
Open Access

Advanced Gait Analysis for Elder Wellbeing Monitoring
Apul Goel, Idongesit Ekerete
Advances in intelligent systems and computing (2024), pp. 195-207
Closed Access

Application of wearable sensors in constructing a fall risk prediction model for community-dwelling older adults: a scoping review
Bingqing Wang, Y Liu, Aming Lu, et al.
Archives of Gerontology and Geriatrics (2024) Vol. 129, pp. 105689-105689
Closed Access

Two-Dimensional Mechanical Model of Human Stability in External Force-Caused Fall
Martyna Sopa, Grażyna Sypniewska-Kamińska, Tomasz Walczak, et al.
Applied Sciences (2023) Vol. 13, Iss. 8, pp. 5068-5068
Open Access | Times Cited: 1

Prediction of Elderly Falls Using the Degree of Cyclostationarity of Walk Pressure Signals
Reem Brome, Jad Nasreddine, Frédéric Bonnardot, et al.
(2021) Vol. 22, pp. 477-482
Closed Access | Times Cited: 2

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