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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:

Performance analysis of a generalized motion capture system using microsoft kinect 2.0
Alessandro Napoli, Stephen M. Glass, Christian Ward, et al.
Biomedical Signal Processing and Control (2017) Vol. 38, pp. 265-280
Open Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

The KIMORE Dataset: KInematic Assessment of MOvement and Clinical Scores for Remote Monitoring of Physical REhabilitation
Marianna Capecci, Maria Gabriella Ceravolo, Francesco Ferracuti, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2019) Vol. 27, Iss. 7, pp. 1436-1448
Closed Access | Times Cited: 95
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
Dual-Hand Motion Capture by Using Biological Inspiration for Bionic Bimanual Robot Teleoperation
Qing Gao, Zhiwen Deng, Zhaojie Ju, et al.
Cyborg and Bionic Systems (2023) Vol. 4
Open Access | Times Cited: 27
Upper Limb Physical Rehabilitation Using Serious Videogames and Motion Capture Systems: A Systematic Review
Andrea Catherine Alarcón-Aldana, Mauro Callejas-Cuervo, Antônio Padilha Lanari Bó
Sensors (2020) Vol. 20, Iss. 21, pp. 5989-5989
Open Access | Times Cited: 68
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
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
Comparison of Azure Kinect and optical retroreflective motion capture for kinematic and spatiotemporal evaluation of the sit-to-stand test
Jacob Thomas, Jamie B. Hall, Rebecca Bliss, et al.
Gait & Posture (2022) Vol. 94, pp. 153-159
Closed Access | Times Cited: 26
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
Kinect-Based Assessment of Lower Limbs during Gait in Post-Stroke Hemiplegic Patients: A Narrative Review
Serena Cerfoglio, Claudia Ferraris, Luca Vismara, et al.
Sensors (2022) Vol. 22, Iss. 13, pp. 4910-4910
Open Access | Times Cited: 24
Introducing 3DCNN ResNets for ASD full-body kinematic assessment: A comparison with hand-crafted features
Alberto Altozano, Maria Eleonora Minissi, Mariano Alcañíz, et al.
Expert Systems with Applications (2025), pp. 126295-126295
Open Access
Influence of a Marker-Based Motion Capture System on the Performance of Microsoft Kinect v2 Skeleton Algorithm
MReza Naeemabadi, Birthe Dinesen, Ole Kæseler Andersen, et al.
IEEE Sensors Journal (2018) Vol. 19, Iss. 1, pp. 171-179
Open Access | Times Cited: 35
HOLOBALANCE: An Augmented Reality virtual trainer solution forbalance training and fall prevention
Ioannis Kouris, Michail Sarafidis, Θέλμα Ανδρούτσου, et al.
(2018), pp. 4233-4236
Closed Access | Times Cited: 33
Analysis of GPS and UWB positioning system for athlete tracking
Adnan Waqar, Iftekhar Ahmad, Daryoush Habibi, et al.
Measurement Sensors (2021) Vol. 14, pp. 100036-100036
Open Access | Times Cited: 26
A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring
Naveen Kumar Mangal, Anil Kumar Tiwari
Computers in Biology and Medicine (2021) Vol. 132, pp. 104316-104316
Closed Access | Times Cited: 25
Intelligent Hoisting with Car-Like Mobile Robots
Heng Li, Xiaochun Luo, Martin Skitmore
Journal of Construction Engineering and Management (2020) Vol. 146, Iss. 12
Open Access | Times Cited: 26
Concurrent Validity of a Custom Method for Markerless 3D Full-Body Motion Tracking of Children and Young Adults Based on a Single RGB-D Camera
Nikolas Hesse, Sandra Baumgartner, Anja Gut, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 1943-1951
Open Access | Times Cited: 8
A RGBD-Based Interactive System for Gaming-Driven Rehabilitation of Upper Limbs
Gabriel Fuertes Muñoz, Ramón A. Mollineda, Jesús Gallardo, et al.
Sensors (2019) Vol. 19, Iss. 16, pp. 3478-3478
Open Access | Times Cited: 20
Study of Postural Stability Features by Using Kinect Depth Sensors to Assess Body Joint Coordination Patterns
Chin-Hsuan Liu, Posen Lee, Yen‐Lin Chen, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1291-1291
Open Access | Times Cited: 16
Portable, open-source solutions for estimating wrist position during reaching in people with stroke
Jeffrey Z. Nie, James W. Nie, Na‐Teng Hung, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 15
Technologies to Support Assessment of Movement During Video Consultations: Exploratory Study
Ray Jones, Suzanne Hubble, Lloyd A. Taylor, et al.
JMIRx Med (2021) Vol. 2, Iss. 3, pp. e30233-e30233
Open Access | Times Cited: 14
The Automated Assessment of Postural Stability: Balance Detection Algorithm
Alessandro Napoli, Stephen M. Glass, Carole A. Tucker, et al.
Annals of Biomedical Engineering (2017) Vol. 45, Iss. 12, pp. 2784-2793
Closed Access | Times Cited: 15
Validity and Reliability of the Kinect for Assessment of Standardized Transitional Movements and Balance
Urška Puh, Brittany Hoehlein, Judith E. Deutsch
Physical Medicine and Rehabilitation Clinics of North America (2019) Vol. 30, Iss. 2, pp. 399-422
Closed Access | Times Cited: 15
Smartphone videos-driven musculoskeletal multibody dynamics modelling workflow to estimate the lower limb joint contact forces and ground reaction forces
Yinghu Peng, Wei Wang, Lin Wang, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 12, pp. 3841-3853
Closed Access | Times Cited: 1
Robust labeling of human motion markers in the presence of occlusions
J.L. Jiménez Bascones, Manuel Graña, José Manuel López-Guede
Neurocomputing (2019) Vol. 353, pp. 96-105
Open Access | Times Cited: 13
Computer-assisted approaches for measuring, segmenting, and analyzing functional upper extremity movement: a narrative review of the current state, limitations, and future directions
Kyle Jackson, Zoran Đurić, Susannah Engdahl, et al.
Frontiers in Rehabilitation Sciences (2023) Vol. 4
Open Access | Times Cited: 4
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