Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 1-25 of 579 citing articles:

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition
Francisco Ordóñez, Daniel Roggen
Sensors (2016) Vol. 16, Iss. 1, pp. 115-115
Open Access | Times Cited: 2269
Gait Analysis Using Wearable Sensors
Weijun Tao, Tao Liu, Rencheng Zheng, et al.
Sensors (2012) Vol. 12, Iss. 2, pp. 2255-2283
Open Access | Times Cited: 1053
Mobile Health Technology Evaluation
Santosh Kumar, Wendy Nilsen, Amy P. Abernethy, et al.
American Journal of Preventive Medicine (2013) Vol. 45, Iss. 2, pp. 228-236
Open Access | Times Cited: 894
Physical Human Activity Recognition Using Wearable Sensors
Ferhat Attal, Samer Mohammed, Mariam Dedabrishvili, et al.
Sensors (2015) Vol. 15, Iss. 12, pp. 31314-31338
Open Access | Times Cited: 712
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
Ricardo Chavarriaga, Hesam Sagha, Alberto Calatroni, et al.
Pattern Recognition Letters (2013) Vol. 34, Iss. 15, pp. 2033-2042
Open Access | Times Cited: 642
A Comparison of Feature Extraction Methods for the Classification of Dynamic Activities From Accelerometer Data
Stephen Preece, John Y. Goulermas, Laurence Kenney, et al.
IEEE Transactions on Biomedical Engineering (2008) Vol. 56, Iss. 3, pp. 871-879
Closed Access | Times Cited: 528
Comparative study on classifying human activities with miniature inertial and magnetic sensors
Kerem Altun, Billur Barshan, Orkun Tunçel
Pattern Recognition (2010) Vol. 43, Iss. 10, pp. 3605-3620
Open Access | Times Cited: 521
Methods of Measurement in epidemiology: Sedentary Behaviour
Andrew J. Atkin, Trish Gorely, Stacy A. Clemes, et al.
International Journal of Epidemiology (2012) Vol. 41, Iss. 5, pp. 1460-1471
Open Access | Times Cited: 489
A Survey of Online Activity Recognition Using Mobile Phones
Muhammad Shoaib, Stephan Bosch, Özlem Durmaz İncel, et al.
Sensors (2015) Vol. 15, Iss. 1, pp. 2059-2085
Open Access | Times Cited: 471
Activity Recognition Using Inertial Sensing for Healthcare, Wellbeing and Sports Applications: A Survey
Akin Avci, Stephan Bosch, Mihai Marin-Perianu, et al.
ARCS Workshops (2010), pp. 167-176
Closed Access | Times Cited: 395
Optimal Placement of Accelerometers for the Detection of Everyday Activities
Ian Cleland, Basel Kikhia, Chris Nugent, et al.
Sensors (2013) Vol. 13, Iss. 7, pp. 9183-9200
Open Access | Times Cited: 367
Walk detection and step counting on unconstrained smartphones
Agata Brajdic, Robert Harle
(2013)
Closed Access | Times Cited: 360
Reducing the metabolic rate of walking and running with a versatile, portable exosuit
J. Kim, Giuk Lee, Roman Heimgartner, et al.
Science (2019) Vol. 365, Iss. 6454, pp. 668-672
Closed Access | Times Cited: 359
Review of fall risk assessment in geriatric populations using inertial sensors
Jennifer Howcroft, Jonathan Kofman, Edward D. Lemaire
Journal of NeuroEngineering and Rehabilitation (2013) Vol. 10, Iss. 1, pp. 91-91
Open Access | Times Cited: 336
Human Activity Recognition Process Using 3-D Posture Data
Salvatore Gaglio, Giuseppe Lo Re, Marco Morana
IEEE Transactions on Human-Machine Systems (2014) Vol. 45, Iss. 5, pp. 586-597
Closed Access | Times Cited: 335
Recognizing Daily and Sports Activities in Two Open Source Machine Learning Environments Using Body-Worn Sensor Units
Billur Barshan, Murat Cihan Yüksek
The Computer Journal (2013) Vol. 57, Iss. 11, pp. 1649-1667
Closed Access | Times Cited: 301
Does the Evaluation of Gait Quality During Daily Life Provide Insight Into Fall Risk? A Novel Approach Using 3-Day Accelerometer Recordings
Aner Weiss, Marina Brozgol, Moran Dorfman, et al.
Neurorehabilitation and neural repair (2013) Vol. 27, Iss. 8, pp. 742-752
Closed Access | Times Cited: 283
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
Human Activity Recognition Using Inertial/Magnetic Sensor Units
Kerem Altun, Billur Barshan
Lecture notes in computer science (2010), pp. 38-51
Closed Access | Times Cited: 259
Continuous Patient Monitoring With a Patient Centric Agent: A Block Architecture
Md Ashraf Uddin, Andrew Stranieri, Iqbal Gondal, et al.
IEEE Access (2018) Vol. 6, pp. 32700-32726
Open Access | Times Cited: 240
Machine and deep learning for sport-specific movement recognition: a systematic review of model development and performance
Emily E. Cust, Alice J. Sweeting, Kevin Ball, et al.
Journal of Sports Sciences (2018) Vol. 37, Iss. 5, pp. 568-600
Open Access | Times Cited: 232
A Review and Taxonomy of Activity Recognition on Mobile Phones
Özlem Durmaz İncel, Mustafa Kose, Cem Ersoy
BioNanoScience (2013) Vol. 3, Iss. 2, pp. 145-171
Closed Access | Times Cited: 231
Continuous-Phase Control of a Powered Knee–Ankle Prosthesis: Amputee Experiments Across Speeds and Inclines
David Quintero, Dario J. Villarreal, Daniel J. Lambert, et al.
IEEE Transactions on Robotics (2018) Vol. 34, Iss. 3, pp. 686-701
Open Access | Times Cited: 226
Information and communications technologies for elderly ubiquitous healthcare in a smart home
M. Jamal Deen
Personal and Ubiquitous Computing (2015) Vol. 19, Iss. 3-4, pp. 573-599
Closed Access | Times Cited: 224
Fall Detection Using Deep Learning in Range-Doppler Radars
Branka Jokanović, Moeness G. Amin
IEEE Transactions on Aerospace and Electronic Systems (2017) Vol. 54, Iss. 1, pp. 180-189
Closed Access | Times Cited: 224
Page 1 - Next Page

Scroll to top