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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:

HMM for Classification of Parkinson’s Disease Based on the Raw Gait Data
Abed Khorasani, Mohammad Reza Daliri
Journal of Medical Systems (2014) Vol. 38, Iss. 12
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Parkinson’s disease detection based on features refinement through L1 regularized SVM and deep neural network
Liaqat Ali, Ashir Javeed, Adeeb Noor, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection
Liaqat Ali, Ce Zhu, Mingyi Zhou, et al.
Expert Systems with Applications (2019) Vol. 137, pp. 22-28
Closed Access | Times Cited: 136
A hybrid spatio-temporal model for detection and severity rating of Parkinson’s disease from gait data
Aite Zhao, Lin Qi, Jie Li, et al.
Neurocomputing (2018) Vol. 315, pp. 1-8
Open Access | Times Cited: 128
An automatic non-invasive method for Parkinson's disease classification
Deepak Joshi, Aayushi Khajuria, Pradeep Joshi
Computer Methods and Programs in Biomedicine (2017) Vol. 145, pp. 135-145
Closed Access | Times Cited: 116
A novel diagnosis system for Parkinson’s disease using complex-valued artificial neural network with k-means clustering feature weighting method
Hüseyin Gürüler
Neural Computing and Applications (2016) Vol. 28, Iss. 7, pp. 1657-1666
Closed Access | Times Cited: 109
Computer‐Aided Diagnosis of Parkinson’s Disease Using Complex‐Valued Neural Networks and mRMR Feature Selection Algorithm
Musa Peker, Baha Şen, Dursun Delen
Journal of Healthcare Engineering (2015) Vol. 6, Iss. 3, pp. 281-302
Open Access | Times Cited: 105
Parkinson's disease classification using gait analysis via deterministic learning
Wei Zeng, Fenglin Liu, Qinghui Wang, et al.
Neuroscience Letters (2016) Vol. 633, pp. 268-278
Closed Access | Times Cited: 100
Classification of neurodegenerative diseases using gait dynamics via deterministic learning
Wei Zeng, Cong Wang
Information Sciences (2015) Vol. 317, pp. 246-258
Closed Access | Times Cited: 95
Data-Driven Based Approach to Aid Parkinson’s Disease Diagnosis
Nicolas Khoury, Ferhat Attal, Yacine Amirat, et al.
Sensors (2019) Vol. 19, Iss. 2, pp. 242-242
Open Access | Times Cited: 91
Multimodal Gait Recognition for Neurodegenerative Diseases
Aite Zhao, Jianbo Li, Junyu Dong, et al.
IEEE Transactions on Cybernetics (2021) Vol. 52, Iss. 9, pp. 9439-9453
Open Access | Times Cited: 55
A novel sample and feature dependent ensemble approach for Parkinson’s disease detection
Liaqat Ali, Chinmay Chakraborty, Zhiquan He, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 22, pp. 15997-16010
Open Access | Times Cited: 41
Comparative Motor Pre-clinical Assessment in Parkinson’s Disease Using Supervised Machine Learning Approaches
Erika Rovini, Carlo Maremmani, Alessandra Moschetti, et al.
Annals of Biomedical Engineering (2018) Vol. 46, Iss. 12, pp. 2057-2068
Closed Access | Times Cited: 79
Dual channel LSTM based multi-feature extraction in gait for diagnosis of Neurodegenerative diseases
Aite Zhao, Lin Qi, Junyu Dong, et al.
Knowledge-Based Systems (2018) Vol. 145, pp. 91-97
Open Access | Times Cited: 78
Empirical Wavelet Transform Based Features for Classification of Parkinson’s Disease Severity
Qi Wei Oung, M. Hariharan, Shafriza Nisha Basah, et al.
Journal of Medical Systems (2017) Vol. 42, Iss. 2
Closed Access | Times Cited: 73
MMDD-Ensemble: A Multimodal Data–Driven Ensemble Approach for Parkinson's Disease Detection
Liaqat Ali, Zhiquan He, Wenming Cao, et al.
Frontiers in Neuroscience (2021) Vol. 15
Open Access | Times Cited: 42
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
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
Metric learning for Parkinsonian identification from IMU gait measurements
Fabio Cuzzolin, Michael Sapienza, Patrick Esser, et al.
Gait & Posture (2017) Vol. 54, pp. 127-132
Open Access | Times Cited: 49
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
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
Texture Classification and Visualization of Time Series of Gait Dynamics in Patients With Neuro-Degenerative Diseases
Tuan D. Pham
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2017) Vol. 26, Iss. 1, pp. 188-196
Closed Access | Times Cited: 47
Gait Anomaly Detection of Subjects With Parkinson’s Disease Using a Deep Time Series-Based Approach
Giovanni Paragliola, Antonio Coronato
IEEE Access (2018) Vol. 6, pp. 73280-73292
Open Access | Times Cited: 44
A Multi-model Framework for Evaluating Type of Speech Samples having Complementary Information about Parkinson's Disease
Liaqat Ali, Shafqat Ullah Khan, Muhammad Sufyan Arshad, et al.
2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE) (2019)
Closed Access | Times Cited: 35
Development of a machine-learning approach for identifying the stages of fire development in residential room fires
Hongqiang Fang, Siuming Lo, Yunjie Zhang, et al.
Fire Safety Journal (2021) Vol. 126, pp. 103469-103469
Closed Access | Times Cited: 30
A non-invasive method for prediction of neurodegenerative diseases using gait signal features
Vipin Syam, Shivesh Safal, Ongmu Bhutia, et al.
Procedia Computer Science (2023) Vol. 218, pp. 1529-1541
Open Access | Times Cited: 10
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