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:

Wearable inertial sensors for human movement analysis
Marco Iosa, P. Di Pietro, Stefano Paolucci, et al.
Expert Review of Medical Devices (2016) Vol. 13, Iss. 7, pp. 641-659
Closed Access | Times Cited: 242

Showing 1-25 of 242 citing articles:

Bio-Integrated Wearable Systems: A Comprehensive Review
Tyler R. Ray, Jungil Choi, Amay J. Bandodkar, et al.
Chemical Reviews (2019) Vol. 119, Iss. 8, pp. 5461-5533
Closed Access | Times Cited: 1003

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

Validity and repeatability of inertial measurement units for measuring gait parameters
Edward P. Washabaugh, Tarun Kalyanaraman, Peter G. Adamczyk, et al.
Gait & Posture (2017) Vol. 55, pp. 87-93
Open Access | Times Cited: 283

Sensors for daily life: A review
Mohd Javaid, Abid Haleem, Shanay Rab, et al.
Sensors International (2021) Vol. 2, pp. 100121-100121
Open Access | Times Cited: 264

Wearable Inertial Sensors for Human Motion Analysis: A Review
Irvin Hussein López-Nava, Angelica Muñoz-Meléndez
IEEE Sensors Journal (2016) Vol. 16, Iss. 22, pp. 7821-7834
Closed Access | Times Cited: 212

Validity and reliability of wearable inertial sensors in healthy adult walking: a systematic review and meta-analysis
Dylan Kobsar, Jesse M. Charlton, Calvin T.F. Tse, et al.
Journal of NeuroEngineering and Rehabilitation (2020) Vol. 17, Iss. 1
Open Access | Times Cited: 202

Advanced Wearable Sensors Technologies for Healthcare Monitoring
T. Tamura
Sensors (2025) Vol. 25, Iss. 2, pp. 322-322
Open Access | Times Cited: 1

Inertial Sensor-Based Lower Limb Joint Kinematics: A Methodological Systematic Review
Ive Weygers, Manon Kok, Marco J. Konings, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 673-673
Open Access | Times Cited: 125

Gait analysis in neurological populations: Progression in the use of wearables
Yunus Çelik, Samuel Stuart, Wai Lok Woo, et al.
Medical Engineering & Physics (2020) Vol. 87, pp. 9-29
Open Access | Times Cited: 124

Wearable Monitoring Devices for Biomechanical Risk Assessment at Work: Current Status and Future Challenges—A Systematic Review
Alberto Ranavolo, Francesco Draicchio, Tiwana Varrecchia, et al.
International Journal of Environmental Research and Public Health (2018) Vol. 15, Iss. 9, pp. 2001-2001
Open Access | Times Cited: 121

40 years of sensor fusion for orientation tracking via magnetic and inertial measurement units: Methods, lessons learned, and future challenges
Milad Nazarahari, Hossein Rouhani
Information Fusion (2020) Vol. 68, pp. 67-84
Closed Access | Times Cited: 103

EquiMoves: A Wireless Networked Inertial Measurement System for Objective Examination of Horse Gait
Stephan Bosch, F. M. Serra Bragança, Mihai Marin-Perianu, et al.
Sensors (2018) Vol. 18, Iss. 3, pp. 850-850
Open Access | Times Cited: 93

Wearable technologies for active living and rehabilitation: Current research challenges and future opportunities
Mary M. Rodgers, Gad Alon, Vinay M. Pai, et al.
Journal of Rehabilitation and Assistive Technologies Engineering (2019) Vol. 6
Open Access | Times Cited: 90

Safety and ergonomics in human-robot interactive agricultural operations
Lefteris Benos, Avital Bechar, Dionysis Bochtis
Biosystems Engineering (2020) Vol. 200, pp. 55-72
Closed Access | Times Cited: 90

Multiple-Wearable-Sensor-Based Gait Classification and Analysis in Patients with Neurological Disorders
Wei-Chun Hsu, Tommy Sugiarto, Yi‐Jia Lin, et al.
Sensors (2018) Vol. 18, Iss. 10, pp. 3397-3397
Open Access | Times Cited: 86

Wearable inertial sensors for human movement analysis: a five-year update
P. Di Pietro, Marco Iosa, Clive D’Souza, et al.
Expert Review of Medical Devices (2021) Vol. 18, Iss. sup1, pp. 79-94
Closed Access | Times Cited: 77

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

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: 63

Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson’s Disease patients
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Journal of NeuroEngineering and Rehabilitation (2021) Vol. 18, Iss. 1
Open Access | Times Cited: 61

A Deep Learning Approach for Gait Event Detection from a Single Shank-Worn IMU: Validation in Healthy and Neurological Cohorts
Robbin Romijnders, Elke Warmerdam, Clint Hansen, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3859-3859
Open Access | Times Cited: 40

A multi-sensor wearable system for the assessment of diseased gait in real-world conditions
Francesca Salis, Stefano Bertuletti, Tecla Bonci, et al.
Frontiers in Bioengineering and Biotechnology (2023) Vol. 11
Open Access | Times Cited: 30

The Fundamentals and Applications of Wearable Sensor Devices in Sports Medicine: A Scoping Review
Reena Olsen, Sayyida Hasan, J. Woo, et al.
Arthroscopy The Journal of Arthroscopic and Related Surgery (2024)
Closed Access | Times Cited: 10

Clinical assessment of gait in individuals with multiple sclerosis using wearable inertial sensors: Comparison with patient-based measure
Massimiliano Pau, Silvia Caggiari, A. Mura, et al.
Multiple Sclerosis and Related Disorders (2016) Vol. 10, pp. 187-191
Closed Access | Times Cited: 70

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