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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:

Severity Classification of Parkinson’s Disease Based on Permutation-Variable Importance and Persistent Entropy
Jigang Tong, Jiachen Zhang, Enzeng Dong, et al.
Applied Sciences (2021) Vol. 11, Iss. 4, pp. 1834-1834
Open Access | Times Cited: 18

Showing 18 citing articles:

Insole-Based Systems for Health Monitoring: Current Solutions and Research Challenges
Sophini Subramaniam, Sumit Majumder, Abu Ilius Faisal, et al.
Sensors (2022) Vol. 22, Iss. 2, pp. 438-438
Open Access | Times Cited: 67
An efficient tool for Parkinson's disease detection and severity grading based on time-frequency and fuzzy features of cumulative gait signals through improved LSTM networks
Farhad Abedinzadeh Torghabeh, Yeganeh Modaresnia, Seyyed Abed Hosseini
Medicine in Novel Technology and Devices (2024) Vol. 22, pp. 100297-100297
Open Access | Times Cited: 6
Assessment of Parkinson’s Disease Severity Using Gait Data: A Deep Learning-Based Multimodal Approach
Nabid Faiem, Tunç Aşuroğlu, Koray Açıcı, et al.
Communications in computer and information science (2024), pp. 29-48
Open Access | Times Cited: 5
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
A persistent homology gait analysis for Parkinson disease characterization
Luis Carlos Guayacán Chaparro, Yessica Castrillón, Francisco Javier Gómez, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107752-107752
Closed Access
Machine Learning Methods with Noisy, Incomplete or Small Datasets
César F. Caiafa, Zhe Sun, Toshihisa Tanaka, et al.
Applied Sciences (2021) Vol. 11, Iss. 9, pp. 4132-4132
Open Access | Times Cited: 26
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
Classification of Parkinson's disease stages with a two-stage deep neural network
José Francisco Pedrero-Sánchez, Juan Manuel Belda Lois, Pilar Serra‐Añó, et al.
Frontiers in Aging Neuroscience (2023) Vol. 15
Open Access | Times Cited: 6
A topological data analysis-based method for gait signals with an application to the study of multiple sclerosis
Alexandre Bois, Brian Tervil, Albane Moreau, et al.
PLoS ONE (2022) Vol. 17, Iss. 5, pp. e0268475-e0268475
Open Access | Times Cited: 8
Importance analysis of psychosociological variables in frailty syndrome in heart failure patients using machine learning approach
Aleksandra Helena Pasieczna, Remigiusz Szczepanowski, Janusz Sobecki, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 4
Exploration and demonstration of explainable machine learning models in prosthetic rehabilitation-based gait analysis
Mohammad Pourmahmood Aghababa, Jan Andrysek
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300447-e0300447
Open Access | Times Cited: 1
Gait analysis under the lens of statistical physics
Massimiliano Zanin, Felipe Olivares, Irene Pulido-Valdeolivas, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 3257-3267
Open Access | Times Cited: 7
A review of emergent intelligent systems for the detection of Parkinson’s disease
Samiappan Dhanalakshmi, Ramesh Sai Maanasaa, Ramesh Sai Maalikaa, et al.
Biomedical Engineering Letters (2023) Vol. 13, Iss. 4, pp. 591-612
Open Access | Times Cited: 3
Topological Gait Analysis: A New Framework and Its Application to the Study of Human Gait
Sushil Kumar Mishra, Debasish Chatterjee, Neeta Kanekar
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7040-7053
Closed Access
Persistent Homology Combined with Machine Learning for Social Network Activity Analysis
Zhijian Zhang, Yuqing Sun, Yayun Liu, et al.
Entropy (2024) Vol. 27, Iss. 1, pp. 19-19
Open Access
Machine Learning Methods with Noisy, Incomplete or Small Datasets
Jordi Solé‐Casals, Zhe Sun, César F. Caiafa, et al.
MDPI eBooks (2021)
Open Access | Times Cited: 2
The Importance of Psychosociological Variables in Frailty Syndrome: A Study on Heart Failure Patients Using Machine Learning Algorithms
Aleksandra Helena Pasieczna, Remigiusz Szczepanowski, Janusz Sobecki, et al.
Research Square (Research Square) (2022)
Open Access
The Importance of Psychosociological Variables in Frailty Syndrome: A Study on Heart Failure Patients Using Machine Learning Algorithms
Aleksandra Helena Pasieczna, Remigiusz Szczepanowski, Janusz Sobecki, et al.
Research Square (Research Square) (2022)
Open Access
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