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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:

Parkinson’s Disease Diagnosis and Severity Assessment Using Ground Reaction Forces and Neural Networks
Srivardhini Veeraragavan, Alpha Agape Gopalai, Darwin Gouwanda, et al.
Frontiers in Physiology (2020) Vol. 11
Open Access | Times Cited: 56

Showing 1-25 of 56 citing articles:

Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson’s disease motor symptoms
Anirudha S. Chandrabhatla, I. Jonathan Pomeraniec, Alexander Ksendzovsky
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 76
Automatic and non-invasive Parkinson’s disease diagnosis and severity rating using LSTM network
E Balaji, D. Brindha, Vinodh Kumar Elumalai, et al.
Applied Soft Computing (2021) Vol. 108, pp. 107463-107463
Closed Access | Times Cited: 90
Parkinson’s disease diagnosis and stage prediction based on gait signal analysis using EMD and CNN–LSTM network
B. Vidya, P. Sasikumar
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105099-105099
Closed Access | Times Cited: 41
A deep learning approach for parkinson’s disease severity assessment
Tunç Aşuroğlu, Hasan Oğul
Health and Technology (2022) Vol. 12, Iss. 5, pp. 943-953
Open Access | Times Cited: 41
Detection and assessment of Parkinson's disease based on gait analysis: A survey
Yao Guo, Jianxin Yang, Yuxuan Liu, et al.
Frontiers in Aging Neuroscience (2022) Vol. 14
Open Access | Times Cited: 38
The Role of Neural Network for the Detection of Parkinson’s Disease: A Scoping Review
Mahmood Alzubaidi, Uzair Shah, Haider Dhia Zubaydi, et al.
Healthcare (2021) Vol. 9, Iss. 6, pp. 740-740
Open Access | Times Cited: 49
Severity level diagnosis of Parkinson’s disease by ensemble K-nearest neighbor under imbalanced data
Huan Zhao, Ruixue Wang, Yaguo Lei, et al.
Expert Systems with Applications (2021) Vol. 189, pp. 116113-116113
Closed Access | Times Cited: 38
Parkinson’s disease diagnosis using neural networks: Survey and comprehensive evaluation
M. Tanveer, Ashraf Haroon Rashid, Rahul Kumar, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102909-102909
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
Machine Learning Models for Parkinson Disease: Systematic Review
Thasina Tabashum, R. Snyder, Megan K. O’Brien, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e50117-e50117
Open Access | Times Cited: 5
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
Early detection of Parkinson’s disease using a multi area graph convolutional network
Hua Huo, Chen Zhang, Wei Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Efficient quantification of Parkinson’s disease severity using augmented time-series data
Hua Huo, Shujun Jiao, Dongfang Li, et al.
PLoS ONE (2025) Vol. 20, Iss. 4, pp. e0319826-e0319826
Open Access
Exercise and gait/movement analyses in treatment and diagnosis of Parkinson’s Disease
Johannes Burtscher, Eduardo Martin Moraud, Davide Malatesta, et al.
Ageing Research Reviews (2023) Vol. 93, pp. 102147-102147
Open Access | Times Cited: 12
Classification of Parkinson’s disease severity using gait stance signals in a spatiotemporal deep learning classifier
Brenda G. Muñoz-Mata, Guadalupe Dorantes-Méndez, Omar Piña-Ramírez
Medical & Biological Engineering & Computing (2024)
Closed Access | Times Cited: 4
Gait-based Parkinson’s disease diagnosis and severity classification using force sensors and machine learning
Navita, Pooja Mittal, Yogesh Kumar Sharma, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Static-Dynamic Temporal Networks for Parkinson’s Disease Detection and Severity Prediction
Chenhui Dong, Ying Chen, Zhan Huan, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 2205-2213
Open Access | Times Cited: 9
Gait based Parkinson’s disease diagnosis and severity rating using multi-class support vector machine
B. Vidya, P. Sasikumar
Applied Soft Computing (2021) Vol. 113, pp. 107939-107939
Closed Access | Times Cited: 20
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
Open Access | Times Cited: 15
Gait classification for early detection and severity rating of Parkinson’s disease based on hybrid signal processing and machine learning methods
Qinghui Wang, Wei Zeng, Xiangkun Dai
Cognitive Neurodynamics (2022) Vol. 18, Iss. 1, pp. 109-132
Closed Access | Times Cited: 15
Mahalanobis Metric-based Oversampling Technique for Parkinson’s Disease Severity Assessment using Spatiotemporal Gait Parameters
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105057-105057
Closed Access | Times Cited: 7
1D-convolutional transformer for Parkinson disease diagnosis from gait
Safwen Naimi, Wassim Bouachir, Guillaume-Alexandre Bilodeau
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 1947-1957
Closed Access | Times Cited: 7
A non-expensive bidimensional assessment can detect subtle alterations in gait performance in people in the early stages of Parkinson’s disease
Matheus Silva d’Alencar, Gabriel Venas Santos, André Frazão Helene, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 5
Parkinson’s Disease Diagnosis With Gait Characteristics Extracted Using Wavelet Transforms
Dixon Vimalajeewa, Ethan McDonald, Megan Tung, et al.
IEEE Journal of Translational Engineering in Health and Medicine (2023) Vol. 11, pp. 271-281
Open Access | Times Cited: 5
Colliding Bodies Optimization with Machine Learning Based Parkinson’s Disease Diagnosis
Ashit Kumar Dutta, Nazik Zakari, Yasser Albagory, et al.
Computer Systems Science and Engineering (2022) Vol. 44, Iss. 3, pp. 2195-2207
Open Access | Times Cited: 8
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