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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:

Classification of Gait Patterns in Patients with Neurodegenerative Disease Using Adaptive Neuro-Fuzzy Inference System
Qiang Ye, Yi Xia, Zhiming Yao
Computational and Mathematical Methods in Medicine (2018) Vol. 2018, pp. 1-8
Open Access | Times Cited: 52

Showing 1-25 of 52 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
Human Gait Analysis in Neurodegenerative Diseases: A Review
Grazia Cicirelli, Donato Impedovo, Vincenzo Dentamaro, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 26, Iss. 1, pp. 229-242
Open Access | Times Cited: 132
A Survey of Human Gait-Based Artificial Intelligence Applications
Elsa J. Harris, I‐Hung Khoo, Emel Demircan
Frontiers in Robotics and AI (2022) Vol. 8
Open Access | Times Cited: 67
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
An Efficient Machine Learning Approach for Diagnosing Parkinson’s Disease by Utilizing Voice Features
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3782-3782
Open Access | Times Cited: 28
NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern
Md. Ahasan Atick Faisal, Muhammad E. H. Chowdhury, Zaid Bin Mahbub, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20034-20046
Closed Access | Times Cited: 16
A comparative study: prediction of parkinson’s disease using machine learning, deep learning and nature inspired algorithm
Pankaj Kumar Keserwani, Suman R. Das, Nairita Sarkar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69393-69441
Closed Access | Times Cited: 7
Usage and implementation of neuro-fuzzy systems for classification and prediction in the diagnosis of different types of medical disorders: a decade review
Haneet Kour, Jatinder Manhas, Vinod Sharma
Artificial Intelligence Review (2020) Vol. 53, Iss. 7, pp. 4651-4706
Closed Access | Times Cited: 41
Artificial intelligence for screening and diagnosis of amyotrophic lateral sclerosis: a systematic review and meta-analysis
Tungki Pratama Umar, Nityanand Jain, Manthia Papageorgakopoulou, et al.
Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration (2024) Vol. 25, Iss. 5-6, pp. 425-436
Closed Access | Times Cited: 5
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
Gait Analysis for Early Neurodegenerative Diseases Classification Through the Kinematic Theory of Rapid Human Movements
Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo
IEEE Access (2020) Vol. 8, pp. 193966-193980
Open Access | Times Cited: 35
Diverse Applications of Artificial Intelligence in Neuroradiology
Michael Tran Duong, Andreas M. Rauschecker, Suyash Mohan
Neuroimaging Clinics of North America (2020) Vol. 30, Iss. 4, pp. 505-516
Open Access | Times Cited: 32
Modeling spatiotemporal patterns of gait anomaly with a CNN-LSTM deep neural network
Nasrin Sadeghzadehyazdi, Tamal Batabyal, Scott T. Acton
Expert Systems with Applications (2021) Vol. 185, pp. 115582-115582
Closed Access | Times Cited: 28
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
A three-stage fuzzy classifier method for Parkinson’s disease diagnosis using dynamic handwriting analysis
Konstantin Sarin, Marina Bardamova, Mikhail Svetlakov, et al.
Decision Analytics Journal (2023) Vol. 8, pp. 100274-100274
Open Access | Times Cited: 11
Development of Neuro-Degenerative Diseases’ Gait Classification Algorithm Using Convolutional Neural Network and Wavelet Coherence Spectrogram of Gait Synchronization
Febryan Setiawan, An‐Bang Liu, Che‐Wei Lin
IEEE Access (2022) Vol. 10, pp. 38137-38153
Open Access | Times Cited: 16
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
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
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
Detection of dynamical regime transitions with lacunarity as a multiscale recurrence quantification measure
Tobias Braun, Vishnu R. Unni, R. I. Sujith, et al.
Nonlinear Dynamics (2021) Vol. 104, Iss. 4, pp. 3955-3973
Open Access | Times Cited: 21
A Computerized Analysis with Machine Learning Techniques for the Diagnosis of Parkinson’s Disease: Past Studies and Future Perspectives
Arti Rana, Ankur Dumka, Rajesh Singh, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2708-2708
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
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
Computer-aided identification of degenerative neuromuscular diseases based on gait dynamics and ensemble decision tree classifiers
Luay Fraiwan, Omnia Hassanin
PLoS ONE (2021) Vol. 16, Iss. 6, pp. e0252380-e0252380
Open Access | Times Cited: 17
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