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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:

Review: Are we stumbling in our quest to find the best predictor? Over‐optimism in sensor‐based models for predicting falls in older adults
Tal Shany, Kejia Wang, Ying Liu, et al.
Healthcare Technology Letters (2015) Vol. 2, Iss. 4, pp. 79-88
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Novel sensing technology in fall risk assessment in older adults: a systematic review
Ruopeng Sun, Jacob J. Sosnoff
BMC Geriatrics (2018) Vol. 18, Iss. 1
Open Access | Times Cited: 162
Daily-Life Gait Quality as Predictor of Falls in Older People: A 1-Year Prospective Cohort Study
Kimberley S. van Schooten, Mirjam Pijnappels, Sietse M. Rispens, et al.
PLoS ONE (2016) Vol. 11, Iss. 7, pp. e0158623-e0158623
Open Access | Times Cited: 154
Wearable Inertial Sensors for Fall Risk Assessment and Prediction in Older Adults: A Systematic Review and Meta-Analysis
Luis Montesinos, Rossana Castaldo, Leandro Pecchia
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2018) Vol. 26, Iss. 3, pp. 573-582
Open Access | Times Cited: 102
Fall Risk Assessment Through Automatic Combination of Clinical Fall Risk Factors and Body-Worn Sensor Data
Barry R. Greene, Stephen J. Redmond, Brian Caulfield
IEEE Journal of Biomedical and Health Informatics (2016) Vol. 21, Iss. 3, pp. 725-731
Closed Access | Times Cited: 70
New horizons in falls prevention
Stephen R. Lord, Jacqueline Close
Age and Ageing (2018) Vol. 47, Iss. 4, pp. 492-498
Open Access | Times Cited: 68
Feature selection for elderly faller classification based on wearable sensors
Jennifer Howcroft, Jonathan Kofman, Edward D. Lemaire
Journal of NeuroEngineering and Rehabilitation (2017) Vol. 14, Iss. 1
Open Access | Times Cited: 64
Differences Between Gait on Stairs and Flat Surfaces in Relation to Fall Risk and Future Falls
Kejia Wang, Kim Delbaere, Matthew A. Brodie, et al.
IEEE Journal of Biomedical and Health Informatics (2017) Vol. 21, Iss. 6, pp. 1479-1486
Closed Access | Times Cited: 62
Fall prevention in older people: past, present and future
Jacqueline Close, Stephen R. Lord
Age and Ageing (2022) Vol. 51, Iss. 6
Open Access | Times Cited: 34
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
Fall Risk Assessment for the Elderly Based on Weak Foot Features of Wearable Plantar Pressure
Zhen Song, Jianlin Ou, Lin Shu, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2022) Vol. 30, pp. 1060-1070
Open Access | Times Cited: 29
Fall risk classification with posturographic parameters in community-dwelling older adults: a machine learning and explainable artificial intelligence approach
Huey‐Wen Liang, Rasoul Ameri, Shahab S. Band, et al.
Journal of NeuroEngineering and Rehabilitation (2024) Vol. 21, Iss. 1
Open Access | Times Cited: 6
Evaluation of the Tinetti score and fall risk assessment via accelerometry-based movement analysis
Massimo W. Rivolta, Md Aktaruzzaman, Giovanna Rizzo, et al.
Artificial Intelligence in Medicine (2018) Vol. 95, pp. 38-47
Closed Access | Times Cited: 58
Unintended Consequences of Wearable Sensor Use in Healthcare
D. McCaldin, Will Ke Wang, G. Schreier, et al.
Yearbook of Medical Informatics (2016) Vol. 25, Iss. 01, pp. 73-86
Open Access | Times Cited: 56
Faller Classification in Older Adults Using Wearable Sensors Based on Turn and Straight-Walking Accelerometer-Based Features
Dylan Drover, Jennifer Howcroft, Jonathan Kofman, et al.
Sensors (2017) Vol. 17, Iss. 6, pp. 1321-1321
Open Access | Times Cited: 53
Quantitative Assessment of Balance Impairment for Fall-Risk Estimation Using Wearable Triaxial Accelerometer
Ahsan Shahzad, Seung-uk Ko, Samgyu Lee, et al.
IEEE Sensors Journal (2017) Vol. 17, Iss. 20, pp. 6743-6751
Closed Access | Times Cited: 53
Digital assessment of falls risk, frailty, and mobility impairment using wearable sensors
Barry R. Greene, Killian McManus, Stephen J. Redmond, et al.
npj Digital Medicine (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 51
Conceptualizing a Dynamic Fall Risk Model Including Intrinsic Risks and Exposures
Jochen Klenk, Clemens Becker, Pierpaolo Palumbo, et al.
Journal of the American Medical Directors Association (2017) Vol. 18, Iss. 11, pp. 921-927
Open Access | Times Cited: 48
Health-Enabling and Ambient Assistive Technologies: Past, Present, Future
Klaus-Hendrik Wolf, Reinhold Haux, Sabine Koch, et al.
Yearbook of Medical Informatics (2016) Vol. 25, Iss. S 01, pp. S76-S91
Open Access | Times Cited: 47
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
Wearable fall risk assessment by discriminating recessive weak foot individual
Zhen Song, Jianlin Ou, Shibin Wu, et al.
Journal of NeuroEngineering and Rehabilitation (2025) Vol. 22, Iss. 1
Open Access
Predictive Performance of a Fall Risk Assessment Tool for Community-Dwelling Older People (FRAT-up) in 4 European Cohorts
Pierpaolo Palumbo, Jochen Klenk, Luca Cattelani, et al.
Journal of the American Medical Directors Association (2016) Vol. 17, Iss. 12, pp. 1106-1113
Open Access | Times Cited: 41
Editorial: Avoid being tripped up by statistics: Statistical guidance for a successful research paper
R.J. Prescott
Gait & Posture (2018) Vol. 72, pp. 240-249
Open Access | Times Cited: 35
A comparison study of local dynamic stability measures of daily life walking in older adult community-dwelling fallers and non-fallers
Espen A. F. Ihlen, Aner Weiss, Yoav Beck, et al.
Journal of Biomechanics (2016) Vol. 49, Iss. 9, pp. 1498-1503
Closed 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
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
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