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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:

Motion tracking and gait feature estimation for recognising Parkinson’s disease using MS Kinect
Ondřej Ťupa, Aleš Procházka, Oldřich Vyšata, et al.
BioMedical Engineering OnLine (2015) Vol. 14, Iss. 1
Open Access | Times Cited: 103

Showing 1-25 of 103 citing articles:

A Review on Accelerometry-Based Gait Analysis and Emerging Clinical Applications
Delaram Jarchi, James Pope, Tracey K. M. Lee, et al.
IEEE Reviews in Biomedical Engineering (2018) Vol. 11, pp. 177-194
Open Access | Times Cited: 178
Recent advances in rehabilitation for Parkinson’s Disease with Exergames: A Systematic Review
Augusto García-Agúndez, Ann‐Kristin Folkerts, Robert Konrad, et al.
Journal of NeuroEngineering and Rehabilitation (2019) Vol. 16, Iss. 1
Open Access | Times Cited: 147
Human Gait Analysis in Neurodegenerative Diseases: A Review
Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 229-242
Open Access | Times Cited: 133
A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation
Winnie W. T. Lam, Yuk Ming Tang, Kenneth N. K. Fong
Journal of NeuroEngineering and Rehabilitation (2023) Vol. 20, Iss. 1
Open Access | Times Cited: 65
Vision-Based Gait Recognition: A Survey
Jasvinder Pal Singh, Sanjeev Jain, Sakshi Arora, et al.
IEEE Access (2018) Vol. 6, pp. 70497-70527
Open Access | Times Cited: 159
Inertial Sensor-Based Robust Gait Analysis in Non-Hospital Settings for Neurological Disorders
Can Tunca, Nezihe Pehlivan, Nağme Ak, et al.
Sensors (2017) Vol. 17, Iss. 4, pp. 825-825
Open Access | Times Cited: 128
Healthcare Applications of Smart Watches
Tsung‐Chien Lu, Chun-Min Fu, Matthew Huei‐Ming, et al.
Applied Clinical Informatics (2016) Vol. 07, Iss. 03, pp. 850-869
Open Access | Times Cited: 112
Feature Extraction Using an RNN Autoencoder for Skeleton-Based Abnormal Gait Recognition
Kooksung Jun, Deok-Won Lee, Kyoobin Lee, et al.
IEEE Access (2020) Vol. 8, pp. 19196-19207
Open Access | Times Cited: 99
Recent Approaches on Classification and Feature Extraction of EEG Signal: A Review
Pooja Sharma, SK Pahuja, Karan Veer
Robotica (2021) Vol. 40, Iss. 1, pp. 77-101
Closed Access | Times Cited: 58
Human gait recognition: A systematic review
Veenu Rani, Munish Kumar
Multimedia Tools and Applications (2023) Vol. 82, Iss. 24, pp. 37003-37037
Closed Access | Times Cited: 27
Microsoft Kinect Visual and Depth Sensors for Breathing and Heart Rate Analysis
Aleš Procházka, Martin Schätz, Oldřich Vyšata, et al.
Sensors (2016) Vol. 16, Iss. 7, pp. 996-996
Open Access | Times Cited: 80
Utilising the Intel RealSense Camera for Measuring Health Outcomes in Clinical Research
Francesco Luke Siena, Bill Byrom, Paul Watts, et al.
Journal of Medical Systems (2018) Vol. 42, Iss. 3
Open Access | Times Cited: 74
A low-cost vision system based on the analysis of motor features for recognition and severity rating of Parkinson’s Disease
Domenico Buongiorno, Ilaria Bortone, Giacomo Donato Cascarano, et al.
BMC Medical Informatics and Decision Making (2019) Vol. 19, Iss. S9
Open Access | Times Cited: 74
Assessment of Motor Impairments in Early Untreated Parkinson's Disease Patients: The Wearable Electronics Impact
Mariachiara Ricci, Giulia Di Lazzaro, Antonio Pisani, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 1, pp. 120-130
Closed Access | Times Cited: 61
Cross-Spatiotemporal Graph Convolution Networks for Skeleton-Based Parkinsonian Gait MDS-UPDRS Score Estimation
Haoyu Tian, Haiyun Li, Wenjing Jiang, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 412-421
Open Access | Times Cited: 7
Using Kinect to classify Parkinson’s disease stages related to severity of gait impairment
Lacramioara Dranca, Lopez de Abetxuko Ruiz de Mendarozketa, Alfredo Goñi, et al.
BMC Bioinformatics (2018) Vol. 19, Iss. 1
Open Access | Times Cited: 51
Vision-based gait impairment analysis for aided diagnosis
Javier Ortells, María Trinidad Herrero, Ramón A. Mollineda
Medical & Biological Engineering & Computing (2018) Vol. 56, Iss. 9, pp. 1553-1564
Closed Access | Times Cited: 50
Efficient and Robust Skeleton-Based Quality Assessment and Abnormality Detection in Human Action Performance
Amr Elkholy, Mohamed E. Hussein, Walid Gomaa, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 1, pp. 280-291
Open Access | Times Cited: 50
A Survey of Behavioral Biometric Gait Recognition: Current Success and Future Perspectives
Jasvinder Pal Singh, Sanjeev Jain, Sakshi Arora, et al.
Archives of Computational Methods in Engineering (2019) Vol. 28, Iss. 1, pp. 107-148
Closed Access | Times Cited: 48
Computer-Vision Based Diagnosis of Parkinson’s Disease via Gait: A Survey
Navleen Kour, Sunanda Sunanda, Sakshi Arora
IEEE Access (2019) Vol. 7, pp. 156620-156645
Open Access | Times Cited: 47
Rehabilitative Effects of Virtual Reality Technology for Mild Cognitive Impairment: A Systematic Review With Meta-Analysis
Jinlong Wu, Yudan Ma, Zhanbing Ren
Frontiers in Psychology (2020) Vol. 11
Open Access | Times Cited: 45
Pathological Gait Classification Using Kinect v2 and Gated Recurrent Neural Networks
Kooksung Jun, Yongwoo Lee, Sanghyub Lee, et al.
IEEE Access (2020) Vol. 8, pp. 139881-139891
Open Access | Times Cited: 39
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
Video Based Mobility Monitoring of Elderly People Using Deep Learning Models
Laura Romeo, Roberto Marani, Tiziana D’Orazio, et al.
IEEE Access (2023) Vol. 11, pp. 2804-2819
Open Access | Times Cited: 14
A survey of artificial intelligence in gait-based neurodegenerative disease diagnosis
Haocong Rao, Minlin Zeng, Xuejiao Zhao, et al.
Neurocomputing (2025), pp. 129533-129533
Closed Access
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