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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:

Validity of inertial sensor based 3D joint kinematics of static and dynamic sport and physiotherapy specific movements
Wolfgang Teufl, Markus Miezal, Bertram Taetz, et al.
PLoS ONE (2019) Vol. 14, Iss. 2, pp. e0213064-e0213064
Open Access | Times Cited: 107

Showing 1-25 of 107 citing articles:

Reliability and validity analysis of MediaPipe-based measurement system for some human rehabilitation motions
Ameur Latreche, Ridha Kelaiaia, Ahmed Chemori, et al.
Measurement (2023) Vol. 214, pp. 112826-112826
Closed Access | Times Cited: 40
Concurrent validation of the Xsens IMU system of lower-body kinematics in jump-landing and change-of-direction tasks
Eline M. Nijmeijer, Pieter Heuvelmans, Ruben Bolt, et al.
Journal of Biomechanics (2023) Vol. 154, pp. 111637-111637
Open Access | Times Cited: 39
Predicting Knee Joint Kinematics from Wearable Sensor Data in People with Knee Osteoarthritis and Clinical Considerations for Future Machine Learning Models
Jay-Shian Tan, Sawitchaya Tippaya, Tara Binnie, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 446-446
Open Access | Times Cited: 38
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
Validation of an IMU Suit for Military-Based Tasks
Matthew P. Mavor, Gwyneth B. Ross, Allison L. Clouthier, et al.
Sensors (2020) Vol. 20, Iss. 15, pp. 4280-4280
Open Access | Times Cited: 67
Interpretability of Input Representations for Gait Classification in Patients after Total Hip Arthroplasty
Carlo Dindorf, Wolfgang Teufl, Bertram Taetz, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4385-4385
Open Access | Times Cited: 58
Rehabilitation and Return to Sport Assessment after Anterior Cruciate Ligament Injury: Quantifying Joint Kinematics during Complex High-Speed Tasks through Wearable Sensors
Stefano Di Paolo, Nicola Francesco Lopomo, F. Villa, et al.
Sensors (2021) Vol. 21, Iss. 7, pp. 2331-2331
Open Access | Times Cited: 52
Benefits of IMU-based Wearables in Sports Medicine: Narrative Review
Jacob S. Arlotti, William O. Carroll, Youness Afifi, et al.
International Journal of Kinesiology and Sports Science (2022) Vol. 10, Iss. 1, pp. 36-43
Open Access | Times Cited: 32
Validation of the Perception Neuron system for full-body motion capture
Corliss Zhi Yi Choo, Jia Yi Chow, John Komar
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0262730-e0262730
Open Access | Times Cited: 29
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition Using Wrist-Worn Inertial Sensors
Alexander Hoelzemann, Julia Romero, Marius Bock, et al.
Sensors (2023) Vol. 23, Iss. 13, pp. 5879-5879
Open Access | Times Cited: 18
Lower Limb Kinematics Using Inertial Sensors during Locomotion: Accuracy and Reproducibility of Joint Angle Calculations with Different Sensor-to-Segment Calibrations
Julien Lebleu, Thierry Gosseye, Christine Detrembleur, et al.
Sensors (2020) Vol. 20, Iss. 3, pp. 715-715
Open Access | Times Cited: 49
Reliability and Validity of a Wearable Sensing System and Online Gait Analysis Report in Persons after Stroke
Anne Schwarz, Adib Al‐Haj Husain, Lorenzo Einaudi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 624-624
Open Access | Times Cited: 14
Human upper limb kinematics using a novel algorithm in post-stroke patients
Porkodi Jayavel, Hari Krishnan Srinivasan, Varshini Karthik, et al.
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2025)
Closed Access
The influence of ergonomic factors on the work conditions of paramedics during the rescue of trauma patients in an ambulance
Daniel Celiński, Sylwia Bęczkowska, Iwona Grabarek, et al.
Heliyon (2025) Vol. 11, Iss. 3, pp. e42370-e42370
Open Access
A Comparative Analysis of IMUs and Optical Systems in Layup Shot Biomechanics
Nuha Alkhalaf, Matthew T.G. Pain, Michael J. Hiley
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3847-3847
Open Access
Textile‐Based Inductive Soft Strain Sensors for Fast Frequency Movement and Their Application in Wearable Devices Measuring Multiaxial Hip Joint Angles during Running
Mohammad Tavassolian, Tyler J. Cuthbert, Christopher Napier, et al.
Advanced Intelligent Systems (2020) Vol. 2, Iss. 4
Open Access | Times Cited: 38
Wearable sensor validation of sports-related movements for the lower extremity and trunk
Kimi D. Dahl, Kristin M. Dunford, Sarah Wilson, et al.
Medical Engineering & Physics (2020) Vol. 84, pp. 144-150
Closed Access | Times Cited: 38
Reliability and Validity of an Inertial Measurement System to Quantify Lower Extremity Joint Angle in Functional Movements
Zhenyu Shuai, Anqi Dong, Haoyang Liu, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 863-863
Open Access | Times Cited: 21
The Reliability and Validity of Wearable Inertial Sensors Coupled with the Microsoft Kinect to Measure Shoulder Range-of-Motion
Peter Beshara, Judy F. Chen, Andrew C. Read, et al.
Sensors (2020) Vol. 20, Iss. 24, pp. 7238-7238
Open Access | Times Cited: 27
Validity and Sensitivity of an Inertial Measurement Unit-Driven Biomechanical Model of Motor Variability for Gait
Christopher A. Bailey, Thomas K. Uchida, Julie Nantel, et al.
Sensors (2021) Vol. 21, Iss. 22, pp. 7690-7690
Open Access | Times Cited: 25
Inertial-Based Human Motion Capture: A Technical Summary of Current Processing Methodologies for Spatiotemporal and Kinematic Measures
Benjamin R. Hindle, Justin Keogh, Anna Lorimer
Applied Bionics and Biomechanics (2021) Vol. 2021, pp. 1-14
Open Access | Times Cited: 24
K-score: A novel scoring system to quantify fatigue-related ergonomic risk based on joint angle measurements via wearable inertial measurement units
Karla Beltran Martinez, Milad Nazarahari, Hossein Rouhani
Applied Ergonomics (2022) Vol. 102, pp. 103757-103757
Closed Access | Times Cited: 18
Inertial Sensor-to-Segment Calibration for Accurate 3D Joint Angle Calculation for Use in OpenSim
Giacomo Di Raimondo, Benedicte Vanwanseele, Arthur van der Have, et al.
Sensors (2022) Vol. 22, Iss. 9, pp. 3259-3259
Open Access | Times Cited: 18
Inertial measurement unit-based motion capture to replace camera-based systems for assessing gait in healthy young adults: Proceed with caution
Julie Rekant, Scott D. Rothenberger, April J. Chambers
Measurement Sensors (2022) Vol. 23, pp. 100396-100396
Open Access | Times Cited: 17
A Comprehensive Analysis of the Validity and Reliability of the Perception Neuron Studio for Upper-Body Motion Capture
Yiwei Wu, Kuan Tao, Qi Chen, et al.
Sensors (2022) Vol. 22, Iss. 18, pp. 6954-6954
Open Access | Times Cited: 16
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