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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:

Sensors-Based Wearable Systems for Monitoring of Human Movement and Falls
Tal Shany, Stephen J. Redmond, Michael R. Narayanan, et al.
IEEE Sensors Journal (2011) Vol. 12, Iss. 3, pp. 658-670
Closed Access | Times Cited: 279

Showing 26-50 of 279 citing articles:

Vision-Based Human Action Classification Using Adaptive Boosting Algorithm
Nabil Zerrouki, Fouzi Harrou, Ying Sun, et al.
IEEE Sensors Journal (2018) Vol. 18, Iss. 12, pp. 5115-5121
Closed Access | Times Cited: 83
Wearable Stretch Sensors for Human Movement Monitoring and Fall Detection in Ergonomics
Harish Chander, Reuben F. Burch, Purva Talegaonkar, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 10, pp. 3554-3554
Open Access | Times Cited: 79
Pathway of Trends and Technologies in Fall Detection: A Systematic Review
Rohit Tanwar, Neha Nandal, Mazdak Zamani, et al.
Healthcare (2022) Vol. 10, Iss. 1, pp. 172-172
Open Access | Times Cited: 57
Sensor-Derived Physical Activity Parameters Can Predict Future Falls in People with Dementia
Michael Schwenk, Klaus Hauer, Tania Zieschang, et al.
Gerontology (2014) Vol. 60, Iss. 6, pp. 483-492
Open Access | Times Cited: 86
Passive Radar for Opportunistic Monitoring in E-Health Applications
Wenda Li, Bo Tan, Robert J. Piechocki
IEEE Journal of Translational Engineering in Health and Medicine (2018) Vol. 6, pp. 1-10
Open Access | Times Cited: 81
SoM: A Smart Sensor for Human Activity Monitoring and Assisted Healthy Ageing
David Naranjo, Laura M. Roa, Javier Reina‐Tosina, et al.
IEEE Transactions on Biomedical Engineering (2012) Vol. 59, Iss. 11, pp. 3177-3184
Closed Access | Times Cited: 78
Improving the Accuracy of Human Body Orientation Estimation With Wearable IMU Sensors
Hamad Ahmed, Muhammad Tahir
IEEE Transactions on Instrumentation and Measurement (2017) Vol. 66, Iss. 3, pp. 535-542
Closed Access | Times Cited: 75
Fall risk assessment of construction workers based on biomechanical gait stability parameters using wearable insole pressure system
Maxwell Fordjour Antwi‐Afari, Heng Li
Advanced Engineering Informatics (2018) Vol. 38, pp. 683-694
Closed Access | Times Cited: 73
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
An On-Node Processing Approach for Anomaly Detection in Gait
Guglielmo Cola, Marco Avvenuti, Alessio Vecchio, et al.
IEEE Sensors Journal (2015) Vol. 15, Iss. 11, pp. 6640-6649
Open Access | Times Cited: 68
A self-powered 3D activity inertial sensor using hybrid sensing mechanisms
Kah How Koh, Qiongfeng Shi, Cao Sen, et al.
Nano Energy (2018) Vol. 56, pp. 651-661
Closed Access | Times Cited: 61
Advances in Automation Technologies for Lower Extremity Neurorehabilitation: A Review and Future Challenges
Wenhao Deng, Ioannis Papavasileiou, Zhi Qiao, et al.
IEEE Reviews in Biomedical Engineering (2018) Vol. 11, pp. 289-305
Closed Access | Times Cited: 59
Convolutional Neural Network-Based Human Activity Recognition for Edge Fitness and Context-Aware Health Monitoring Devices
Nabasmita Phukan, Shailesh Mohine, Achinta Mondal, et al.
IEEE Sensors Journal (2022) Vol. 22, Iss. 22, pp. 21816-21826
Closed Access | Times Cited: 32
Assessing fall risk using wearable sensors: a practical discussion
Tal Shany, Stephen J. Redmond, Michael Marschollek, et al.
Zeitschrift für Gerontologie und Geriatrie (2012) Vol. 45, Iss. 8, pp. 694-706
Closed Access | Times Cited: 61
Quantitative falls risk estimation through multi-sensor assessment of standing balance
Barry R. Greene, Denise McGrath, Lorcan Walsh, et al.
Physiological Measurement (2012) Vol. 33, Iss. 12, pp. 2049-2063
Closed Access | Times Cited: 61
Dopaminergic-induced dyskinesia assessment based on a single belt-worn accelerometer
Carlos Pérez‐López, Albert Samà, Daniel Rodríguez-Martín, et al.
Artificial Intelligence in Medicine (2016) Vol. 67, pp. 47-56
Open Access | Times Cited: 59
Follow-up efficacy of physical exercise interventions on fall incidence and fall risk in healthy older adults: a systematic review and meta-analysis
Azza Hamed, Sebastian Böhm, Falk Mersmann, et al.
Sports Medicine - Open (2018) Vol. 4, Iss. 1
Open Access | Times Cited: 58
Mobile Devices For The Real Time Detection Of Specific Human Motion Disorders
Fernanda Irrera, Paolo Lorenzi, Rosario Rao, et al.
IEEE Sensors Journal (2016), pp. 1-1
Closed Access | Times Cited: 57
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
What Does Big Data Mean for Wearable Sensor Systems?
Nigel H. Lovell, Guang Yang, Alexander Horsch, et al.
Yearbook of Medical Informatics (2014) Vol. 23, Iss. 01, pp. 135-142
Open Access | Times Cited: 54
Wearable Chemosensors: A Review of Recent Progress
Ruo‐Can Qian, Yi‐Tao Long
ChemistryOpen (2017) Vol. 7, Iss. 2, pp. 118-130
Open Access | Times Cited: 53
Engagement and Participant Experiences With Consumer Smartwatches for Health Research: Longitudinal, Observational Feasibility Study
Anna L. Beukenhorst, Kelly Howells, L. M. Cook, et al.
JMIR mhealth and uhealth (2019) Vol. 8, Iss. 1, pp. e14368-e14368
Open Access | Times Cited: 52
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
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
Internet of Things for Sensing: A Case Study in the Healthcare System
Syed Aziz Shah, Aifeng Ren, Dou Fan, et al.
Applied Sciences (2018) Vol. 8, Iss. 4, pp. 508-508
Open Access | Times Cited: 47

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