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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:

Accuracy and Reliability of the Kinect Version 2 for Clinical Measurement of Motor Function
Karen Otte, Bastian Kayser, Sebastian Mansow‐Model, et al.
PLoS ONE (2016) Vol. 11, Iss. 11, pp. e0166532-e0166532
Open Access | Times Cited: 231

Showing 1-25 of 231 citing articles:

Evaluation of the Pose Tracking Performance of the Azure Kinect and Kinect v2 for Gait Analysis in Comparison with a Gold Standard: A Pilot Study
Justin Amadeus Albert, Victor Owolabi, Arnd Gebel, et al.
Sensors (2020) Vol. 20, Iss. 18, pp. 5104-5104
Open Access | Times Cited: 204
Impact assessment of reinforced learning methods on construction workers' fall risk behavior using virtual reality
Yangming Shi, Jing Du, Changbum R. Ahn, et al.
Automation in Construction (2019) Vol. 104, pp. 197-214
Open Access | Times Cited: 177
Applications and limitations of current markerless motion capture methods for clinical gait biomechanics
Logan Wade, Laurie Needham, Polly McGuigan, et al.
PeerJ (2022) Vol. 10, pp. e12995-e12995
Open Access | Times Cited: 166
Suitability of the Kinect Sensor and Leap Motion Controller—A Literature Review
Tibor Guzsvinecz, Veronika Szücs, Cecília Sik‐Lányi
Sensors (2019) Vol. 19, Iss. 5, pp. 1072-1072
Open Access | Times Cited: 127
Automated Evaluation of Upper-Limb Motor Function Impairment Using Fugl-Meyer Assessment
Seung-Hee Lee, Yang‐Soo Lee, Jonghyun Kim
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 26, Iss. 1, pp. 125-134
Closed Access | Times Cited: 94
The Dancing Brain: Structural and Functional Signatures of Expert Dance Training
Agnieszka Z. Burzynska, Karolina Finc, Brittany K. Taylor, et al.
Frontiers in Human Neuroscience (2017) Vol. 11
Open Access | Times Cited: 89
A review of computational approaches for evaluation of rehabilitation exercises
Yalin Liao, Aleksandar Vakanski, Min Xian, et al.
Computers in Biology and Medicine (2020) Vol. 119, pp. 103687-103687
Open Access | Times Cited: 85
Kinect and wearable inertial sensors for motor rehabilitation programs at home: state of the art and an experimental comparison
Bojan Milosevic, Alberto Leardini, Elisabetta Farella
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 72
Accuracy and repeatability of the Microsoft Azure Kinect for clinical measurement of motor function
Johannes Bertram, Theresa Krüger, Hanna Marie Röhling, et al.
PLoS ONE (2023) Vol. 18, Iss. 1, pp. e0279697-e0279697
Open Access | Times Cited: 29
Accuracy, Validity, and Reliability of Markerless Camera-Based 3D Motion Capture Systems versus Marker-Based 3D Motion Capture Systems in Gait Analysis: A Systematic Review and Meta-Analysis
Sofia Scataglini, Eveline Abts, Cas Van Bocxlaer, et al.
Sensors (2024) Vol. 24, Iss. 11, pp. 3686-3686
Open Access | Times Cited: 12
Validation of a Kinect V2 based rehabilitation game
Mengxuan Ma, Rachel Proffitt, Marjorie Skubic
PLoS ONE (2018) Vol. 13, Iss. 8, pp. e0202338-e0202338
Open Access | Times Cited: 70
Multiple Kinect based system to monitor and analyze key performance indicators of physical training
Karolis Ryselis, Tautvydas Petkus, Tomas Blažauskas, et al.
Human-centric Computing and Information Sciences (2020) Vol. 10, Iss. 1
Open Access | Times Cited: 64
The quantification of gesture–speech synchrony: A tutorial and validation of multimodal data acquisition using device-based and video-based motion tracking
Wim Pouw, James P. Trujillo, James A. Dixon
Behavior Research Methods (2019) Vol. 52, Iss. 2, pp. 723-740
Open Access | Times Cited: 61
Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System
Anika Steinert, Igor Sattler, Karen Otte, et al.
Sensors (2019) Vol. 20, Iss. 1, pp. 125-125
Open Access | Times Cited: 60
A SWOT Analysis of Portable and Low-Cost Markerless Motion Capture Systems to Assess Lower-Limb Musculoskeletal Kinematics in Sport
Cortney Armitano‐Lago, Dominic Willoughby, Adam W. Kiefer
Frontiers in Sports and Active Living (2022) Vol. 3
Open Access | Times Cited: 30
Spotlight on postural control in patients with multiple sclerosis
Luca Prosperini, Letizia Castelli
Degenerative Neurological and Neuromuscular Disease (2018) Vol. Volume 8, pp. 25-34
Open Access | Times Cited: 51
A Novel Methodology for Extracting and Evaluating Therapeutic Movements in Game-Based Motion Capture Rehabilitation Systems
Zhichao Yang, Mohammad Hossein Rafiei, Alexis Hall, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 12
Open Access | Times Cited: 51
Full-body motion assessment: Concurrent validation of two body tracking depth sensors versus a gold standard system during gait
Maria do Carmo Vilas-Boas, Hugo Miguel Pereira Choupina, Ana Patrícia Rocha, et al.
Journal of Biomechanics (2019) Vol. 87, pp. 189-196
Closed Access | Times Cited: 51
The Validity and Reliability of a Kinect v2-Based Gait Analysis System for Children with Cerebral Palsy
Yunru Ma, Kumar Mithraratne, Nichola Wilson, et al.
Sensors (2019) Vol. 19, Iss. 7, pp. 1660-1660
Open Access | Times Cited: 50
Reliability and validity analyzes of Kinect V2 based measurement system for shoulder motions
Burakhan Çubukçu, Uğur Yüzgeç, Raif Zı̇lelı̇, et al.
Medical Engineering & Physics (2019) Vol. 76, pp. 20-31
Closed Access | Times Cited: 45
Feasibility of Home-Based Automated Assessment of Postural Instability and Lower Limb Impairments in Parkinson’s Disease
Claudia Ferraris, Roberto Nerino, Antonio Chimienti, et al.
Sensors (2019) Vol. 19, Iss. 5, pp. 1129-1129
Open Access | Times Cited: 43
Review—Emerging Portable Technologies for Gait Analysis in Neurological Disorders
Christina Salchow-Hömmen, Matej Skrobot, Magdalena C. E. Jochner, et al.
Frontiers in Human Neuroscience (2022) Vol. 16
Open Access | Times Cited: 25
Hybrid System Mixed Reality and Marker-Less Motion Tracking for Sports Rehabilitation of Martial Arts Athletes
Michela Franzò, Andrada Pica, Simona Pascucci, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2587-2587
Open Access | Times Cited: 14
Exploring the Potential of AI-Assisted Technology in Joint Range-of-Motion Measurements: A Reliability Study
Gi-Soo Lee, Eric W. Tan
Medicina (2025) Vol. 61, Iss. 1, pp. 119-119
Open Access
Robot-supported assessment of balance in standing and walking
Camila Shirota, Edwin van Asseldonk, Zlatko Matjačić, et al.
Journal of NeuroEngineering and Rehabilitation (2017) Vol. 14, Iss. 1
Open Access | Times Cited: 46
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