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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:

Statistical Analysis of Gait Rhythm in Patients With Parkinson's Disease
Yunfeng Wu, Sridhar Krishnan
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2009) Vol. 18, Iss. 2, pp. 150-158
Closed Access | Times Cited: 139

Showing 26-50 of 139 citing articles:

Assessment of response to medication in individuals with Parkinson’s disease
Murtadha D. Hssayeni, Michelle A. Burack, Joohi Jimenez‐Shahed, et al.
Medical Engineering & Physics (2019) Vol. 67, pp. 33-43
Open Access | Times Cited: 39
Identification of Neurodegenerative Diseases From Gait Rhythm Through Time Domain and Time-Dependent Spectral Descriptors
Alessandro Mengarelli, Andrea Tigrini, Sandro Fioretti, et al.
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 12, pp. 5974-5982
Open Access | Times Cited: 19
Combining homomorphic filtering and recurrent neural network in gait signal analysis for neurodegenerative diseases detection
Masume Saljuqi, Peyvand Ghaderyan
Journal of Applied Biomedicine (2023) Vol. 43, Iss. 2, pp. 476-493
Closed Access | Times Cited: 11
Predication of Parkinson's disease using data mining methods: A comparative analysis of tree, statistical and support vector machine classifiers
Geeta Yadav, Yugal Kumar, G. Sahoo
(2012), pp. 1-8
Closed Access | Times Cited: 44
The impact of feature extraction for the classification of amyotrophic lateral sclerosis among neurodegenerative diseases and healthy subjects
Süleyman Bilgin
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 288-294
Closed Access | Times Cited: 37
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
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
Profiling changes in gait dynamics resulting from progressive 1‐methyl‐4‐phenyl‐1,2,3,6‐tetrahydropyridine‐induced nigrostriatal lesioning
Natalie R.S. Goldberg, Tom Hampton, Scott McCue, et al.
Journal of Neuroscience Research (2011) Vol. 89, Iss. 10, pp. 1698-1706
Closed Access | Times Cited: 37
Dysphonic Voice Pattern Analysis of Patients in Parkinson’s Disease Using Minimum Interclass Probability Risk Feature Selection and Bagging Ensemble Learning Methods
Yunfeng Wu, Pinnan Chen, Yuchen Yao, et al.
Computational and Mathematical Methods in Medicine (2017) Vol. 2017, pp. 1-11
Open Access | Times Cited: 31
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
Quaternions and joint angles in an analysis of local stability of gait for different variants of walking speed and treadmill slope
Michał Piórek, Henryk Josiński, Agnieszka Michalczuk, et al.
Information Sciences (2016) Vol. 384, pp. 263-280
Closed Access | Times Cited: 29
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
On the fractal geometry of gait dynamics in different neuro-degenerative diseases
Tahmineh Azizi
Physics in Medicine (2022) Vol. 14, pp. 100050-100050
Open Access | Times Cited: 15
Statistical methods for analysis of Parkinson’s disease gait pattern and classification
Anup Nandy
Multimedia Tools and Applications (2019) Vol. 78, Iss. 14, pp. 19697-19734
Closed Access | Times Cited: 25
Identifying Obstructive Sleep Apnea by Exploiting Fine-Grained BCG Features Based on Event Phase Segmentation
F Liu, Xingshe Zhou, Zhu Wang, et al.
(2016), pp. 293-300
Closed Access | Times Cited: 24
Rule based classification of neurodegenerative diseases using data driven gait features
Kartikay Gupta, Aayushi Khajuria, Niladri Chatterjee, et al.
Health and Technology (2018) Vol. 9, Iss. 4, pp. 547-560
Closed Access | Times Cited: 24
A Parkinson’s Disease Classification Method: An Approach Using Gait Dynamics and Detrended Fluctuation Analysis
Juliana Paula Félix, Flávio Henrique Teles Vieira, Álisson Assis Cardoso, et al.
(2019), pp. 1-4
Closed Access | Times Cited: 24
A novel method based on matching pursuit decomposition of gait signals for Parkinson’s disease, Amyotrophic lateral sclerosis and Huntington’s disease detection
Masume Saljuqi, Peyvand Ghaderyan
Neuroscience Letters (2021) Vol. 761, pp. 136107-136107
Closed Access | Times Cited: 18
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
Smartphone usage during walking decreases the positive persistency in gait cycle variability
Shunpei Yano, Akihiro Nakamura, Yasuyuki Suzuki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Gait Analysis From a Single Ear-Worn Sensor: Reliability and Clinical Evaluation for Orthopaedic Patients
Delaram Jarchi, Benny Lo, Charence Wong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2015) Vol. 24, Iss. 8, pp. 882-892
Open Access | Times Cited: 24
Identifying sleep apnea syndrome using heart rate and breathing effort variation analysis based on ballistocardiography
Weichao Zhao, Hongbo Ni, Xingshe Zhou, et al.
(2015), pp. 4536-4539
Closed Access | Times Cited: 23
Classification of Neurological Gait Disorders Using Multi-task Feature Learning
Ioannis Papavasileiou, Wenlong Zhang, Xin Wang, et al.
(2017)
Open Access | Times Cited: 23
Non linear approach to study the dynamics of neurodegenerative diseases by Multifractal Detrended Cross-correlation Analysis—A quantitative assessment on gait disease
Srimonti Dutta, Dipak Ghosh, Shukla Samanta
Physica A Statistical Mechanics and its Applications (2015) Vol. 448, pp. 181-195
Closed Access | Times Cited: 22
Which Gait Parameters and Walking Patterns Show the Significant Differences Between Parkinson’s Disease and Healthy Participants?
Sana M. Keloth, Rekha Viswanathan, Beth Jelfs, et al.
Biosensors (2019) Vol. 9, Iss. 2, pp. 59-59
Open Access | Times Cited: 20

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