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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:

Tensor Decomposition of Gait Dynamics in Parkinson's Disease
Tuan D. Pham, Hong Yan
IEEE Transactions on Biomedical Engineering (2017) Vol. 65, Iss. 8, pp. 1820-1827
Closed Access | Times Cited: 51

Showing 1-25 of 51 citing articles:

Machine Learning for the Diagnosis of Parkinson's Disease: A Review of Literature
Jie Mei, Christian Desrosiers, Johannes Frasnelli
Frontiers in Aging Neuroscience (2021) Vol. 13
Open Access | Times Cited: 268
Gait Analysis in Parkinson’s Disease: An Overview of the Most Accurate Markers for Diagnosis and Symptoms Monitoring
Lazzaro di Biase, Alessandro Di Santo, Maria Letizia Caminiti, et al.
Sensors (2020) Vol. 20, Iss. 12, pp. 3529-3529
Open Access | Times Cited: 163
Assessment Methods of Post-stroke Gait: A Scoping Review of Technology-Driven Approaches to Gait Characterization and Analysis
Dhanya Menoth Mohan, Ahsan H. Khandoker, Sabahat A Wasti, et al.
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 109
Selecting Clinically Relevant Gait Characteristics for Classification of Early Parkinson’s Disease: A Comprehensive Machine Learning Approach
Rana Zia Ur Rehman, Silvia Del Din, Yu Guan, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 116
A Survey on Tensor Techniques and Applications in Machine Learning
Yuwang Ji, Qiang Wang, Xuan Li, et al.
IEEE Access (2019) Vol. 7, pp. 162950-162990
Open Access | Times Cited: 83
Imperative Role of Machine Learning Algorithm for Detection of Parkinson’s Disease: Review, Challenges and Recommendations
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 2003-2003
Open Access | Times Cited: 64
Multiple-Fine-Tuned Convolutional Neural Networks for Parkinson’s Disease Diagnosis From Offline Handwriting
Matej Gazda, Máté Hireš, Peter Drotár
IEEE Transactions on Systems Man and Cybernetics Systems (2021) Vol. 52, Iss. 1, pp. 78-89
Closed Access | Times Cited: 60
Time–frequency time–space LSTM for robust classification of physiological signals
Tuan D. Pham
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 59
Role of Wearable Sensors with Machine Learning Approaches in Gait Analysis for Parkinson's Disease Assessment: A Review
Aishwarya Balakrishnan, Jeevan Medikonda, Pramod K. Namboothiri, et al.
Engineered Science (2022)
Open Access | Times Cited: 36
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
Comparison of Walking Protocols and Gait Assessment Systems for Machine Learning-Based Classification of Parkinson’s Disease
Rana Zia Ur Rehman, Silvia Del Din, Jian Qing Shi, et al.
Sensors (2019) Vol. 19, Iss. 24, pp. 5363-5363
Open Access | Times Cited: 41
Artificial Intelligence Applications for Assessment, Monitoring, and Management of Parkinson Disease Symptoms: Protocol for a Systematic Review
Katie Bounsall, Madison Milne‐Ives, Andrew Hall, et al.
JMIR Research Protocols (2023) Vol. 12, pp. e46581-e46581
Open Access | Times Cited: 11
Tensor Decomposition of Largest Convolutional Eigenvalues Reveals Pathologic Predictive Power of RhoB in Rectal Cancer Biopsy
Tuan D. Pham, Vinayakumar Ravi, Chuanwen Fan, et al.
American Journal Of Pathology (2023) Vol. 193, Iss. 5, pp. 579-590
Closed Access | Times Cited: 9
Pattern analysis of computer keystroke time series in healthy control and early-stage Parkinson's disease subjects using fuzzy recurrence and scalable recurrence network features
Tuan D. Pham
Journal of Neuroscience Methods (2018) Vol. 307, pp. 194-202
Closed Access | Times Cited: 31
Classification of Neurodegenerative Diseases via Topological Motion Analysis—A Comparison Study for Multiple Gait Fluctuations
Yan Yan, Olatunji Mumini Omisore, Yu-Cheng Xue, et al.
IEEE Access (2020) Vol. 8, pp. 96363-96377
Open Access | Times Cited: 26
Artificial intelligence and neuroscience: An update on fascinating relationships
Nishanth Gopinath
Process Biochemistry (2022) Vol. 125, pp. 113-120
Closed Access | Times Cited: 15
Analysis of Parkinson’s Disease Using an Imbalanced-Speech Dataset by Employing Decision Tree Ensemble Methods
Omar Barukab, Amir Ahmad, Tabrej Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3000-3000
Open Access | Times Cited: 13
Multilevel Features for Sensor-Based Assessment of Motor Fluctuation in Parkinson's Disease Subjects
Behnaz Ghoraani, Murtadha D. Hssayeni, Michelle M. Bruack, et al.
IEEE Journal of Biomedical and Health Informatics (2019) Vol. 24, Iss. 5, pp. 1284-1295
Open Access | Times Cited: 19
Gait Rhythm Dynamics for Neuro-Degenerative Disease Classification via Persistence Landscape- Based Topological Representation
Yan Yan, Kamen Ivanov, Olatunji Mumini Omisore, et al.
Sensors (2020) Vol. 20, Iss. 7, pp. 2006-2006
Open Access | Times Cited: 17
Real-Time Patient Adaptivity for Freezing of Gait Classification Through Semi-Supervised Neural Networks
Val Mikos, Chun-Huat Heng, Arthur Tay, et al.
2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA) (2017)
Closed Access | Times Cited: 15
Differential Temporal Perception Abilities in Parkinson’s Disease Patients Based on Timing Magnitude
Matthew Bernardinis, S. Farokh Atashzar, Mandar Jog, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 15
Tooth Loss, Patient Characteristics, and Coronary Artery Calcification
Tuan D. Pham, Lifong Zou, Mangala Patel, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Assessing the reproducibility of machine-learning-based biomarker discovery in Parkinson’s disease
Ali Ameli, Lourdes Peña‐Castillo, Hamid Usefi
Computers in Biology and Medicine (2024) Vol. 174, pp. 108407-108407
Open Access | Times Cited: 1
Optimal window lengths, features and subsets thereof for freezing of gait classification
Val Mikos, Chun-Huat Heng, Arthur Tay, et al.
(2017), pp. 1-8
Closed Access | Times Cited: 11
A computerized method to assess Parkinson’s disease severity from gait variability based on gender
İsmail Cantürk
Biomedical Signal Processing and Control (2021) Vol. 66, pp. 102497-102497
Closed Access | Times Cited: 10
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