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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:

Experimental evaluation of accuracy and repeatability of a novel body-to-sensor calibration procedure for inertial sensor-based gait analysis
Eduardo Palermo, Stefano Rossi, Francesca Marini, et al.
Measurement (2014) Vol. 52, pp. 145-155
Closed Access | Times Cited: 162

Showing 1-25 of 162 citing articles:

Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion
Alessandro Filippeschi, Norbert M. Schmitz, Markus Miezal, et al.
Sensors (2017) Vol. 17, Iss. 6, pp. 1257-1257
Open Access | Times Cited: 320
Validation of inertial measurement units with an optoelectronic system for whole-body motion analysis
Xavier Robert‐Lachaine, Hakim Mecheri, Christian Larue, et al.
Medical & Biological Engineering & Computing (2016) Vol. 55, Iss. 4, pp. 609-619
Closed Access | Times Cited: 266
A Machine Learning Framework for Gait Classification Using Inertial Sensors: Application to Elderly, Post-Stroke and Huntington’s Disease Patients
Andrea Mannini, Diana Trojaniello, Andrea Cereatti, et al.
Sensors (2016) Vol. 16, Iss. 1, pp. 134-134
Open Access | Times Cited: 228
OpenSense: An open-source toolbox for inertial-measurement-unit-based measurement of lower extremity kinematics over long durations
Mazen Al Borno, Johanna O’Day, Vanessa Ibarra, et al.
Journal of NeuroEngineering and Rehabilitation (2022) Vol. 19, Iss. 1
Open Access | Times Cited: 101
Musculoskeletal disorders as a fatigue failure process: evidence, implications and research needs
Sean Gallagher, Mark C. Schall
Ergonomics (2016) Vol. 60, Iss. 2, pp. 255-269
Closed Access | Times Cited: 142
Estimation of Gait Mechanics Based on Simulated and Measured IMU Data Using an Artificial Neural Network
Marion Mundt, Arnd Koeppe, Sina David, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 128
A Novel HMM Distributed Classifier for the Detection of Gait Phases by Means of a Wearable Inertial Sensor Network
Juri Taborri, Stefano Rossi, Eduardo Palermo, et al.
Sensors (2014) Vol. 14, Iss. 9, pp. 16212-16234
Open Access | Times Cited: 117
Towards Inertial Sensor Based Mobile Gait Analysis: Event-Detection and Spatio-Temporal Parameters
Wolfgang Teufl, Michael Lorenz, Markus Miezal, et al.
Sensors (2018) Vol. 19, Iss. 1, pp. 38-38
Open Access | Times Cited: 109
Use of Wearable Sensor Technology in Gait, Balance, and Range of Motion Analysis
Steven Díaz, J. Stephenson, Miguel A. Labrador
Applied Sciences (2019) Vol. 10, Iss. 1, pp. 234-234
Open Access | Times Cited: 103
Prediction of lower limb joint angles and moments during gait using artificial neural networks
Marion Mundt, W Thomsen, Tom Witter, et al.
Medical & Biological Engineering & Computing (2019) Vol. 58, Iss. 1, pp. 211-225
Closed Access | Times Cited: 101
An IMU-to-Body Alignment Method Applied to Human Gait Analysis
Laura Vargas-Valencia, Arlindo Elías, Eduardo Rocón, et al.
Sensors (2016) Vol. 16, Iss. 12, pp. 2090-2090
Open Access | Times Cited: 100
Wrist-worn and chest-strap wearable devices: Systematic review on accuracy and metrological characteristics
Gloria Cosoli, Susanna Spinsante, Lorenzo Scalise
Measurement (2020) Vol. 159, pp. 107789-107789
Open Access | Times Cited: 98
Fifteen Years of Wireless Sensors for Balance Assessment in Neurological Disorders
Alessandro Zampogna, Ilaria Mileti, Eduardo Palermo, et al.
Sensors (2020) Vol. 20, Iss. 11, pp. 3247-3247
Open Access | Times Cited: 90
On Inertial Body Tracking in the Presence of Model Calibration Errors
Markus Miezal, Bertram Taetz, Gabriele Bleser
Sensors (2016) Vol. 16, Iss. 7, pp. 1132-1132
Open Access | Times Cited: 89
IMU-to-Segment Assignment and Orientation Alignment for the Lower Body Using Deep Learning
Tobias Zimmermann, Bertram Taetz, Gabriele Bleser
Sensors (2018) Vol. 18, Iss. 1, pp. 302-302
Open Access | Times Cited: 89
Inertial sensors versus standard systems in gait analysis: a systematic review and meta-analysis
Federica Petraglia, Luca Scarcella, Giuseppe Pedrazzi, et al.
European Journal of Physical and Rehabilitation Medicine (2019) Vol. 55, Iss. 2
Open Access | Times Cited: 75
Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach
Ilaria Conforti, Ilaria Mileti, Zaccaria Del Prete, et al.
Sensors (2020) Vol. 20, Iss. 6, pp. 1557-1557
Open Access | Times Cited: 72
Determining anatomical frames via inertial motion capture: A survey of methods
Rachel V. Vitali, Noel C. Perkins
Journal of Biomechanics (2020) Vol. 106, pp. 109832-109832
Closed Access | Times Cited: 72
A Comparison of Three Neural Network Approaches for Estimating Joint Angles and Moments from Inertial Measurement Units
Marion Mundt, William R. Johnson, Wolfgang Potthast, et al.
Sensors (2021) Vol. 21, Iss. 13, pp. 4535-4535
Open Access | Times Cited: 66
Validation of a 3D Markerless System for Gait Analysis Based on OpenPose and Two RGB Webcams
Erika D’Antonio, Juri Taborri, Ilaria Mileti, et al.
IEEE Sensors Journal (2021) Vol. 21, Iss. 15, pp. 17064-17075
Closed Access | Times Cited: 62
Validity and reliability of inertial measurement units used to measure motion of the lumbar spine: A systematic review of individuals with and without low back pain
F. A. McClintock, Andrew Callaway, Carol Clark, et al.
Medical Engineering & Physics (2024) Vol. 126, pp. 104146-104146
Open Access | Times Cited: 8
Accuracy and repeatability of single-pose calibration of inertial measurement units for whole-body motion analysis
Xavier Robert‐Lachaine, Hakim Mecheri, Christian Larue, et al.
Gait & Posture (2017) Vol. 54, pp. 80-86
Closed Access | Times Cited: 83
Validation of Inter-Subject Training for Hidden Markov Models Applied to Gait Phase Detection in Children with Cerebral Palsy
Juri Taborri, Emilia Scalona, Eduardo Palermo, et al.
Sensors (2015) Vol. 15, Iss. 9, pp. 24514-24529
Open Access | Times Cited: 68
Towards an Inertial Sensor-Based Wearable Feedback System for Patients after Total Hip Arthroplasty: Validity and Applicability for Gait Classification with Gait Kinematics-Based Features
Wolfgang Teufl, Bertram Taetz, Markus Miezal, et al.
Sensors (2019) Vol. 19, Iss. 22, pp. 5006-5006
Open Access | Times Cited: 68
A markerless system for gait analysis based on OpenPose library
Erika D’Antonio, Juri Taborri, Eduardo Palermo, et al.
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (2020)
Closed Access | Times Cited: 66
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