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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:

Effective Dysphonia Detection Using Feature Dimension Reduction and Kernel Density Estimation for Patients with Parkinson’s Disease
Shanshan Yang, Fang Zheng, Xin Luo, et al.
PLoS ONE (2014) Vol. 9, Iss. 2, pp. e88825-e88825
Open Access | Times Cited: 53

Showing 26-50 of 53 citing articles:

Decision Making in Health Care Diagnosis: Evidence From Parkinson's Disease Via Hybrid Machine Learning
Jinil Persis, V. Raja Sreedharan, Gopalakrishnan Narayanamurthy
IEEE Transactions on Engineering Management (2021) Vol. 70, Iss. 8, pp. 2719-2731
Closed Access | Times Cited: 13
Classification of Dysphonic Voices in Parkinson’s Disease with Semi-Supervised Competitive Learning Algorithm
Guidong Bao, Meng-Chen Lin, Xiaoqian Sang, et al.
Biosensors (2022) Vol. 12, Iss. 7, pp. 502-502
Open Access | Times Cited: 9
Improving speech characteristics of young adults with congenital dysarthria: An exploratory study comparing articulation training and the Beatalk method
Michal Icht
Journal of Communication Disorders (2021) Vol. 93, pp. 106147-106147
Closed Access | Times Cited: 12
An Exploration on Feature Extraction and Classification Techniques for Dysphonic Speech Disorder in Parkinson’s Disease
S. Sharanyaa, P. N. Renjith, K. Ramesh
Lecture notes in networks and systems (2022), pp. 33-48
Closed Access | Times Cited: 8
Protein submitochondrial localization from integrated sequence representation and SVM-based backward feature extraction
Liqi Li, Sanjiu Yu, Weidong Xiao, et al.
Molecular BioSystems (2014) Vol. 11, Iss. 1, pp. 170-177
Closed Access | Times Cited: 13
An Experimental Analysis on Multicepstral Projection Representation Strategies for Dysphonia Detection
Rodrigo Colnago Contreras, Monique Simplicio Viana, Everthon Silva Fonseca, et al.
Sensors (2023) Vol. 23, Iss. 11, pp. 5196-5196
Open Access | Times Cited: 4
Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson’s disease
Yongming Li, Xinyue Zhang, Pin Wang, et al.
Neural Computing and Applications (2021) Vol. 33, Iss. 15, pp. 9733-9750
Open Access | Times Cited: 10
An integrated framework for reducing hospital readmissions using risk trajectories characterization and discharge timing optimization
Adel Alaeddini, Jonathan E. Helm, Pengyi Shi, et al.
IISE Transactions on Healthcare Systems Engineering (2019) Vol. 9, Iss. 2, pp. 172-185
Open Access | Times Cited: 9
Hierarchical Boosting Dual-Stage Feature Reduction Ensemble Model for Parkinson’s Disease Speech Data
Mingyao Yang, Jie Ma, Pin Wang, et al.
Diagnostics (2021) Vol. 11, Iss. 12, pp. 2312-2312
Open Access | Times Cited: 8
Speech-based identification of L-DOPA ON/OFF state in Parkinson’s Disease subjects
Raquel Norel, Carla Agurto, John Jeremy Rice, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 5
Forward autoregressive modeling for stride process analysis in patients with idiopathic Parkinson's disease
Yunfeng Wu, Xin Luo, Pinnan Chen, et al.
(2015) Vol. 13, pp. 349-352
Closed Access | Times Cited: 3
Identification of abnormal knee joint vibroarthrographic signals based on fluctuation features
Xin Luo, Pinnan Chen, Shanshan Yang, et al.
(2014), pp. 318-322
Closed Access | Times Cited: 3
NES-REBS: A novel nuclear export signal prediction method using regular expressions and biochemical properties
Tingfang Wu, Xun Wang, Zheng Zhang, et al.
Journal of Bioinformatics and Computational Biology (2016) Vol. 14, Iss. 03, pp. 1650013-1650013
Closed Access | Times Cited: 3
Exploring Essential Acoustic Features for Early Parkinson's Disease Classification: A Machine Learning Study
Daniel Hilário da Silva
(2024)
Closed Access
Non-Linear and Non-Stationary Speech Analysis of Parkinson’s Disease Using Empirical Mode Decomposition
Alice Rueda
(2024)
Open Access
Non-Linear and Non-Stationary Speech Analysis of Parkinson’s Disease Using Empirical Mode Decomposition
Alice Rueda
(2024)
Open Access
Parkinson's Disease Detection Using Voice and Speech—Systematic Literature Review
Ronak Khatwad, Suyash Tiwari, Yash Tripathi, et al.
(2024), pp. 41-74
Closed Access
Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review (Preprint)
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
(2023)
Open Access | Times Cited: 1
Intra-subject enveloped multilayer fuzzy sample compression for speech diagnosis of Parkinson's disease
Yiwen Wang, Fan Li, Xiaoheng Zhang, et al.
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 2, pp. 371-388
Closed Access | Times Cited: 1
Descriptive and inferential analysis of features for Dysphonia and Dysarthria Parkinson’s disease symptoms
Saiyed Umer, Ranjeet Kumar Rout
Health Services and Outcomes Research Methodology (2023) Vol. 24, Iss. 3, pp. 304-326
Closed Access | Times Cited: 1
Weighted Hybrid Feature Reduction Embedded with Ensemble Learning for Speech Data of Parkinson’s Disease
Zeeshan Hameed, Waheed Ur Rehman, Wakeel Khan, et al.
Mathematics (2021) Vol. 9, Iss. 24, pp. 3172-3172
Open Access | Times Cited: 3
[Combining speech sample and feature bilateral selection algorithm for classification of Parkinson's disease].
Xiaoheng Zhang, Lirui Wang, Yao Cao, et al.
PubMed (2018) Vol. 34, Iss. 6, pp. 942-948
Closed Access | Times Cited: 2
Machine learning for the diagnosis of Parkinson's disease: A systematic review
Jie Mei, Christian Desrosiers, Johannes Frasnelli
arXiv (Cornell University) (2020)
Open Access | Times Cited: 2
Feature Selection and Radial Basis Function Network for Parkinson Disease Classification
Ashraf Osman Ibrahim, Walaa Akif Hussien, Ayat Mohammoud Yagoop, et al.
Kurdistan Journal of Applied Research (2017) Vol. 2, Iss. 3, pp. 167-171
Open Access | Times Cited: 1
Semi-Supervised Learning Based on Competitive Prototype Seeds Selection for Phonation Detection of Patients with Parkinson’s Disease
Yunfeng Wu, Yixuan Liu, Yangcan Hou, et al.
(2021), pp. 127-132
Closed Access | Times Cited: 1

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