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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:

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: 117

Showing 26-50 of 117 citing articles:

A Systematic Review of Time Series Classification Techniques Used in Biomedical Applications
Will Ke Wang, I.-Yuan Chen, Leeor Hershkovich, et al.
Sensors (2022) Vol. 22, Iss. 20, pp. 8016-8016
Open Access | Times Cited: 27
Wearable sensors and features for diagnosis of neurodegenerative diseases: A systematic review
Huan Zhao, Junyi Cao, Junxiao Xie, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 14
Hybrid Convtranslstm for Spatio-Temporal Classification: Identifying Early Parkinson's Disease from Gait Patterns
Muhammad Izzuddin Mahali, Cries Avian, Nur Achmad Sulistyo Putro, et al.
(2025)
Closed Access
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
Application of Open-Source, Low-Code Machine-Learning Library in Python to Diagnose Parkinson's Disease Using Voice Signal Features
Daniel Hilário da Silva, Caio Tonus Ribeiro, Leandro Rodrigues da Silva Souza, et al.
Brazilian Archives of Biology and Technology (2025) Vol. 68
Open Access
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
Effects of different covariates and contrasts on classification of Parkinson's disease using structural MRI
Çiğdem Özkan, Iman Beheshti, Hasan Demirel
Computers in Biology and Medicine (2018) Vol. 99, pp. 173-181
Closed Access | Times Cited: 41
Performance analysis of different classification algorithms using different feature selection methods on Parkinson's disease detection
Çiğdem Özkan, Hasan Demirel
Journal of Neuroscience Methods (2018) Vol. 309, pp. 81-90
Closed Access | Times Cited: 39
Diagnosis of Parkinson's disease from electroencephalography signals using linear and self‐similarity features
Ankit A. Bhurane, Shivani Dhok, Manish Sharma, et al.
Expert Systems (2019) Vol. 39, Iss. 7
Closed Access | Times Cited: 35
Discrete wavelet transform based data representation in deep neural network for gait abnormality detection
Jayeeta Chakraborty, Anup Nandy
Biomedical Signal Processing and Control (2020) Vol. 62, pp. 102076-102076
Closed Access | Times Cited: 35
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
A new parallel-path ConvMixer neural network for predicting neurodegenerative diseases from gait analysis
Jihen Fourati, Mohamed Othmani, Khawla Ben Salah, et al.
Medical & Biological Engineering & Computing (2025)
Closed Access
An efficient Parkinson's disease detection using smoothed pseudo-Wigner Ville distribution and MobileNetV2 convolutional neural network
Amaladass P. Klinton, Priya S. Jeba, S. Thomas George, et al.
Health and Technology (2025)
Closed Access
Parkinson's disease detection using ensemble techniques and genetic algorithm
Najmeh Fayyazifar, Najmeh Samadiani
(2017), pp. 162-165
Closed Access | Times Cited: 33
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
Sensor-Based Locomotion Data Mining for Supporting the Diagnosis of Neurodegenerative Disorders: A Survey
Samaneh Zolfaghari, Sumaiya Suravee, Daniele Riboni, et al.
ACM Computing Surveys (2023) Vol. 56, Iss. 1, pp. 1-36
Open Access | Times Cited: 9
Neurodegenerative diseases detection using distance metrics and sparse coding: A new perspective on gait symmetric features
Peyvand Ghaderyan, Seyede Marziyeh Ghoreshi Beyrami
Computers in Biology and Medicine (2020) Vol. 120, pp. 103736-103736
Closed Access | Times Cited: 26
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
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
Inter-limb time-varying singular value: A new gait feature for Parkinson’s disease detection and stage classification
Peyvand Ghaderyan, Gisoo Fathi
Measurement (2021) Vol. 177, pp. 109249-109249
Closed Access | Times Cited: 19
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
A type-2 neuro-fuzzy system with a novel learning method for Parkinson’s disease diagnosis
Armin Salimi-Badr, Mohammad Hashemi, Hamidreza Saffari
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 15656-15682
Open Access | Times Cited: 13
Advancements in Parkinson’s Disease Diagnosis: A Comprehensive Survey on Biomarker Integration and Machine Learning
Ruchira Pratihar, Ravi Sankar
Computers (2024) Vol. 13, Iss. 11, pp. 293-293
Open Access | Times Cited: 2
Pronation and supination analysis based on biomechanical signals from Parkinson’s disease patients
Alejandro Garza-Rodríguez, Luis Pastor Sánchez Fernández, Luis Alejandro Sánchez-Pérez, et al.
Artificial Intelligence in Medicine (2017) Vol. 84, pp. 7-22
Closed Access | Times Cited: 24

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