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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:

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

Showing 1-25 of 70 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
Application of Wearable Inertial Sensors and A New Test Battery for Distinguishing Retrospective Fallers from Non-fallers among Community-dwelling Older People
Hai Qiu, Rana Zia Ur Rehman, Xiaoqun Yu, et al.
Scientific Reports (2018) Vol. 8, Iss. 1
Open Access | Times Cited: 70
Timed Up and Go and Six-Minute Walking Tests with Wearable Inertial Sensor: One Step Further for the Prediction of the Risk of Fall in Elderly Nursing Home People
Fabien Buisseret, Louis Catinus, Rémi Grenard, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3207-3207
Open Access | Times Cited: 68
Reliability, Validity and Utility of Inertial Sensor Systems for Postural Control Assessment in Sport Science and Medicine Applications: A Systematic Review
William Johnston, Martin O’Reilly, Rob Argent, et al.
Sports Medicine (2019) Vol. 49, Iss. 5, pp. 783-818
Open Access | Times Cited: 67
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 detection system based on infrared array sensor and multi-dimensional feature fusion
Yi Yang, Honglei Yang, Zhixin Liu, et al.
Measurement (2022) Vol. 192, pp. 110870-110870
Closed Access | Times Cited: 29
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
Concurrent validation of an index to estimate fall risk in community dwelling seniors through a wireless sensor insole system: A pilot study
Mirko Di Rosa, J.M. Hausdorff, Vera Stara, et al.
Gait & Posture (2017) Vol. 55, pp. 6-11
Closed Access | Times Cited: 50
Using a Motion Sensor to Categorize Nonspecific Low Back Pain Patients: A Machine Learning Approach
Masoud Abdollahi, Sajad Ashouri, Mohsen Abedi, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3600-3600
Open Access | Times Cited: 49
Development of Data-Driven Metrics for Balance Impairment and Fall Risk Assessment in Older Adults
Killian McManus, Barry R. Greene, Lilian Genaro Motti, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 69, Iss. 7, pp. 2324-2332
Closed Access | Times Cited: 24
Systematic review of candidate prognostic factors for falling in older adults identified from motion analysis of challenging walking tasks
Rosemary Dubbeldam, Yu Yuan Lee, Juliana Pennone, et al.
European Review of Aging and Physical Activity (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 14
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
Gait parameter estimation from a single depth sensor
Yale Hartmann, Rinu Elizabeth Paul, Jonah Klöckner, et al.
Journal of Smart Cities and Society (2025)
Closed Access
Technology Utilization in Fall Prevention
Mooyeon Oh‐Park, Thao Doan, Carolin Dohle, et al.
American Journal of Physical Medicine & Rehabilitation (2020) Vol. 100, Iss. 1, pp. 92-99
Closed Access | Times Cited: 36
Development and validation of a robotic multifactorial fall-risk predictive model: A one-year prospective study in community-dwelling older adults
Alberto Cella, Alice De Luca, Valentina Squeri, et al.
PLoS ONE (2020) Vol. 15, Iss. 6, pp. e0234904-e0234904
Open Access | Times Cited: 35
Unsupervised Assessment of Balance and Falls Risk Using a Smartphone and Machine Learning
Barry R. Greene, Killian McManus, Lilian Genaro Motti, et al.
Sensors (2021) Vol. 21, Iss. 14, pp. 4770-4770
Open Access | Times Cited: 30
Internet of Things (IoT)-Enabled Elderly Fall Verification, Exploiting Temporal Inference Models in Smart Homes
Grigorios L. Kyriakopoulos, Stamatiοs Ntanos, Theodoros Anagnostopoulos, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 2, pp. 408-408
Open Access | Times Cited: 28
Quantitative Assessment of Fall Risk in the Elderly Through Fusion of Millimeter-Wave Radar Imaging and Trajectory Features
Wei Wang, Yan-Xiao Gong, Hao Zhang, et al.
IEEE Access (2024) Vol. 12, pp. 13370-13385
Open Access | Times Cited: 2
Longitudinal assessment of falls in patients with Parkinson’s disease using inertial sensors and the Timed Up and Go test
Barry R. Greene, Brian Caulfield, Dronacharya Lamichhane, et al.
Journal of Rehabilitation and Assistive Technologies Engineering (2018) Vol. 5
Open Access | Times Cited: 23
Proposal and Validation of a Knee Measurement System for Patients With Osteoarthritis
Riley A. Bloomfield, Megan Christine Fennema, Kenneth McIsaac, et al.
IEEE Transactions on Biomedical Engineering (2018) Vol. 66, Iss. 2, pp. 319-326
Closed Access | Times Cited: 22
Use of Wearable Inertial Sensor in the Assessment of Timed-Up-and-Go Test: Influence of Device Placement on Temporal Variable Estimation
Stefano Négrini, Mauro Serpelloni, Cinzia Amici, et al.
Wireless Mobile Communication and Healthcare (2017), pp. 310-317
Closed Access | Times Cited: 21
Predicting Fall Counts Using Wearable Sensors: A Novel Digital Biomarker for Parkinson’s Disease
Barry R. Greene, Isabella Premoli, Killian McManus, et al.
Sensors (2021) Vol. 22, Iss. 1, pp. 54-54
Open Access | Times Cited: 17
Enterprise Risk Assessment Based on Machine Learning
Boning Huang, Junkang Wei, Yuhong Tang, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 16
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