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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 rhythm signals between patients with neuro-degenerative diseases and normal subjects: Experiments with statistical features and different classification models
Yi Xia, Qingwei Gao, Qiang Ye
Biomedical Signal Processing and Control (2015) Vol. 18, pp. 254-262
Closed Access | Times Cited: 73

Showing 1-25 of 73 citing articles:

Deep 1D-Convnet for accurate Parkinson disease detection and severity prediction from gait
Imanne El Maâchi, Guillaume-Alexandre Bilodeau, Wassim Bouachir
Expert Systems with Applications (2019) Vol. 143, pp. 113075-113075
Open Access | Times Cited: 209
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
Detection of Parkinson’s disease based on voice patterns ranking and optimized support vector machine
Salim Lahmiri, Amir Shmuel
Biomedical Signal Processing and Control (2018) Vol. 49, pp. 427-433
Closed Access | Times Cited: 112
Learning Efficient Spatial-Temporal Gait Features with Deep Learning for Human Identification
Wu Liu, Cheng Zhang, Huadóng Ma, et al.
Neuroinformatics (2018) Vol. 16, Iss. 3-4, pp. 457-471
Closed Access | Times Cited: 73
Increasing Robustness in the Detection of Freezing of Gait in Parkinson’s Disease
Rubén San-Segundo, Honorio Navarro-Hellín, Roque Torres-Sánchez, et al.
Electronics (2019) Vol. 8, Iss. 2, pp. 119-119
Open Access | Times Cited: 73
Measuring signal fluctuations in gait rhythm time series of patients with Parkinson's disease using entropy parameters
Yunfeng Wu, Pinnan Chen, Xin Luo, et al.
Biomedical Signal Processing and Control (2016) Vol. 31, pp. 265-271
Closed Access | Times Cited: 64
Classification of gait patterns between patients with Parkinson’s disease and healthy controls using phase space reconstruction (PSR), empirical mode decomposition (EMD) and neural networks
Wei Zeng, Chengzhi Yuan, Qinghui Wang, et al.
Neural Networks (2019) Vol. 111, pp. 64-76
Closed Access | Times Cited: 53
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
Classification of gait signals into different neurodegenerative diseases using statistical analysis and recurrence quantification analysis
Pooja Prabhu, A. K. Karunakar, H Anitha, et al.
Pattern Recognition Letters (2018) Vol. 139, pp. 10-16
Closed Access | Times Cited: 49
A robust, cost-effective and non-invasive computer-aided method for diagnosis three types of neurodegenerative diseases with gait signal analysis
Seyede Marziyeh Ghoreshi Beyrami, Peyvand Ghaderyan
Measurement (2020) Vol. 156, pp. 107579-107579
Closed Access | Times Cited: 43
Short-Circuited Turn Fault Diagnosis in Transformers by Using Vibration Signals, Statistical Time Features, and Support Vector Machines on FPGA
Jose R. Huerta-Rosales, David Granados‐Lieberman, Arturo García-Pérez, et al.
Sensors (2021) Vol. 21, Iss. 11, pp. 3598-3598
Open Access | Times Cited: 36
Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review
Felipe Fernandes, Ingridy M. P. Barbalho, Daniele M. S. Barros, et al.
BioMedical Engineering OnLine (2021) Vol. 20, Iss. 1
Open Access | Times Cited: 35
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
Real-time seizure prediction using RLS filtering and interpolated histogram feature based on hybrid optimization algorithm of Bayesian classifier and Hunting search
Morteza Behnam, Hossein Pourghassem
Computer Methods and Programs in Biomedicine (2016) Vol. 132, pp. 115-136
Closed Access | Times Cited: 46
Statistical time features for global corrosion assessment in a truss bridge from vibration signals
Jesus J. Yanez-Borjas, Martin Valtierra‐Rodriguez, David Camarena‐Martinez, et al.
Measurement (2020) Vol. 160, pp. 107858-107858
Closed Access | Times Cited: 33
Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction
Che‐Wei Lin, Tzu-Chien Wen, Febryan Setiawan
Sensors (2020) Vol. 20, Iss. 14, pp. 3857-3857
Open Access | Times Cited: 32
An Explainable Machine Learning Approach Based on Statistical Indexes and SVM for Stress Detection in Automobile Drivers Using Electromyographic Signals
Olivia Vargas-Lopez, Carlos A. Perez-Ramirez, Martin Valtierra‐Rodriguez, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3155-3155
Open 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
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
Development of a Neurodegenerative Disease Gait Classification Algorithm Using Multiscale Sample Entropy and Machine Learning Classifiers
Quoc Duy Nam Nguyen, An‐Bang Liu, Che‐Wei Lin
Entropy (2020) Vol. 22, Iss. 12, pp. 1340-1340
Open Access | Times Cited: 28
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
Diagnosis of neurodegenerative diseases with a refined Lempel–Ziv complexity
Huan Zhao, Junxiao Xie, YangQuan Chen, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 1153-1166
Closed 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
A novel approach for analysis of altered gait variability in amyotrophic lateral sclerosis
Yi Xia, Qingwei Gao, Yixiang Lu, et al.
Medical & Biological Engineering & Computing (2015) Vol. 54, Iss. 9, pp. 1399-1408
Closed Access | Times Cited: 25
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