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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:

Activity identification using body-mounted sensors—a review of classification techniques
Stephen Preece, John Y. Goulermas, Laurence Kenney, et al.
Physiological Measurement (2009) Vol. 30, Iss. 4, pp. R1-R33
Open Access | Times Cited: 579

Showing 26-50 of 579 citing articles:

A Survey of Body Sensor Networks
Xiaochen Lai, Liu Quanli, Xin Wei, et al.
Sensors (2013) Vol. 13, Iss. 5, pp. 5406-5447
Open Access | Times Cited: 210
A Comprehensive Analysis on Wearable Acceleration Sensors in Human Activity Recognition
Majid Janidarmian, Atena Roshan Fekr, Katarzyna Radecka, et al.
Sensors (2017) Vol. 17, Iss. 3, pp. 529-529
Open Access | Times Cited: 192
Tracking the Evolution of Smartphone Sensing for Monitoring Human Movement
Michael Del Rosario, Stephen J. Redmond, Nigel H. Lovell
Sensors (2015) Vol. 15, Iss. 8, pp. 18901-18933
Open Access | Times Cited: 185
Semi-supervised near-miss fall detection for ironworkers with a wearable inertial measurement unit
Kanghyeok Yang, Changbum R. Ahn, Mehmet C. Vuran, et al.
Automation in Construction (2016) Vol. 68, pp. 194-202
Open Access | Times Cited: 170
A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare
Md. Zia Uddin, Mohammed Mehedi Hassan, Ahmed Alsanad, et al.
Information Fusion (2019) Vol. 55, pp. 105-115
Closed Access | Times Cited: 170
A wearable sensor-based activity prediction system to facilitate edge computing in smart healthcare system
Md. Zia Uddin
Journal of Parallel and Distributed Computing (2018) Vol. 123, pp. 46-53
Closed Access | Times Cited: 160
Online Detection of Freezing of Gait with Smartphones and Machine Learning Techniques
Sînziana Mazilu, Michael Hardegger, Zack Zhu, et al.
(2012)
Open Access | Times Cited: 207
A Smart Phone-Based Pocket Fall Accident Detection, Positioning, and Rescue System
Lih‐Jen Kau, Chin‐Sheng Chen
IEEE Journal of Biomedical and Health Informatics (2014) Vol. 19, Iss. 1, pp. 44-56
Closed Access | Times Cited: 180
Identifying Types of Physical Activity With a Single Accelerometer: Evaluating Laboratory-trained Algorithms in Daily Life
Illapha Cuba Gyllensten, A. Bonomi
IEEE Transactions on Biomedical Engineering (2011) Vol. 58, Iss. 9, pp. 2656-2663
Closed Access | Times Cited: 178
RecoFit
Dan Morris, T. Scott Saponas, Andrew Guillory, et al.
(2014), pp. 3225-3234
Closed Access | Times Cited: 173
Real-Time Human Ambulation, Activity, and Physiological Monitoring: Taxonomy of Issues, Techniques, Applications, Challenges and Limitations
Rinat Khusainov, Djamel Azzi, Ifeyinwa E. Achumba, et al.
Sensors (2013) Vol. 13, Iss. 10, pp. 12852-12902
Open Access | Times Cited: 163
A Method to Estimate Free-Living Active and Sedentary Behavior from an Accelerometer
Kate Lyden, Sarah Kozey Keadle, John Staudenmayer, et al.
Medicine & Science in Sports & Exercise (2013) Vol. 46, Iss. 2, pp. 386-397
Open Access | Times Cited: 155
From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices
Ivan Miguel Pires, Nuno M. García, Nuno Pombo, et al.
Sensors (2016) Vol. 16, Iss. 2, pp. 184-184
Open Access | Times Cited: 148
An Incremental Learning Method Based on Probabilistic Neural Networks and Adjustable Fuzzy Clustering for Human Activity Recognition by Using Wearable Sensors
Zhelong Wang, Ming Jiang, Yaohua Hu, et al.
IEEE Transactions on Information Technology in Biomedicine (2012) Vol. 16, Iss. 4, pp. 691-699
Closed Access | Times Cited: 141
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition
Oresti Baños, Máté Tóth, Miguel Damas, et al.
Sensors (2014) Vol. 14, Iss. 6, pp. 9995-10023
Open Access | Times Cited: 141
An Overview of Smart Shoes in the Internet of Health Things: Gait and Mobility Assessment in Health Promotion and Disease Monitoring
Bjoern M. Eskofier, Sung-Hoon Lee, Manuela Baron, et al.
Applied Sciences (2017) Vol. 7, Iss. 10, pp. 986-986
Open Access | Times Cited: 136
Inertial Sensing-Based Pre-Impact Detection of Falls Involving Near-Fall Scenarios
Jung Keun Lee, Stephen N. Robinovitch, Edward J. Park
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2014) Vol. 23, Iss. 2, pp. 258-266
Closed Access | Times Cited: 132
Monitoring human health behaviour in one's living environment: A technological review
Shane Lowe, Gearóid ÓLaighin
Medical Engineering & Physics (2014) Vol. 36, Iss. 2, pp. 147-168
Closed Access | Times Cited: 132
Evaluation of artificial neural network algorithms for predicting METs and activity type from accelerometer data: validation on an independent sample
Patty S. Freedson, Kate Lyden, Sarah Kozey Keadle, et al.
Journal of Applied Physiology (2011) Vol. 111, Iss. 6, pp. 1804-1812
Open Access | Times Cited: 132
Automated Action Recognition Using an Accelerometer-Embedded Wristband-Type Activity Tracker
JuHyeong Ryu, JoonOh Seo, Houtan Jebelli, et al.
Journal of Construction Engineering and Management (2018) Vol. 145, Iss. 1
Open Access | Times Cited: 132
Recognizing human activity in mobile crowdsensing environment using optimized k -NN algorithm
Alaa Tharwat, Hani Mahdi, Mohamed Elhoseny, et al.
Expert Systems with Applications (2018) Vol. 107, pp. 32-44
Closed Access | Times Cited: 127
Practical considerations in using accelerometers to assess physical activity, sedentary behavior, and sleep
Mirja Quante, Emily R Kaplan, Michael Rueschman, et al.
Sleep Health (2015) Vol. 1, Iss. 4, pp. 275-284
Closed Access | Times Cited: 124
Adaptive sliding window segmentation for physical activity recognition using a single tri-axial accelerometer
Mohd Halim Mohd Noor, Zoran Salčić, Kevin I‐Kai Wang
Pervasive and Mobile Computing (2016) Vol. 38, pp. 41-59
Closed Access | Times Cited: 124
Triaxial Accelerometer-Based Fall Detection Method Using a Self-Constructing Cascade-AdaBoost-SVM Classifier
Wen-Chang Cheng, Ding-Mao Jhan
IEEE Journal of Biomedical and Health Informatics (2012) Vol. 17, Iss. 2, pp. 411-419
Closed Access | Times Cited: 123
Daily living activity recognition based on statistical feature quality group selection
Oresti Baños, Miguel Damas, H. Pomares, et al.
Expert Systems with Applications (2012) Vol. 39, Iss. 9, pp. 8013-8021
Open Access | Times Cited: 123

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