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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 1-25 of 53 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
Finding the Best Classification Threshold in Imbalanced Classification
Quan Zou, Sifa Xie, Ziyu Lin, et al.
Big Data Research (2016) Vol. 5, pp. 2-8
Closed Access | Times Cited: 216
A review of machine learning and deep learning algorithms for Parkinson's disease detection using handwriting and voice datasets
Md Ariful Islam, Md. Ziaul Hasan Majumder, Md. Alomgeer Hussein, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25469-e25469
Open Access | Times Cited: 19
Voice disorder detection using machine learning algorithms: An application in speech and language pathology
Mujeeb Ur Rehman, Arslan Shafique, Qurat-Ul-Ain Azhar, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108047-108047
Open Access | Times Cited: 15
Pretata: predicting TATA binding proteins with novel features and dimensionality reduction strategy
Quan Zou, Shixiang Wan, Ying Ju, et al.
BMC Systems Biology (2016) Vol. 10, Iss. S4
Open Access | Times Cited: 155
Feature-driven machine learning to improve early diagnosis of Parkinson's disease
Luca Parisi, Narrendar RaviChandran, Marianne Lyne Manaog
Expert Systems with Applications (2018) Vol. 110, pp. 182-190
Closed Access | Times Cited: 147
Detecting Parkinson’s disease from sustained phonation and speech signals
Evaldas Vaičiukynas, Antanas Verikas, Adas Gelžinis, et al.
PLoS ONE (2017) Vol. 12, Iss. 10, pp. e0185613-e0185613
Open Access | Times Cited: 91
Monitoring Parkinson’s Disease in Smart Cities
Musaed Alhussein
IEEE Access (2017) Vol. 5, pp. 19835-19841
Open Access | Times Cited: 66
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
Applied Machine Learning Techniques to Diagnose Voice-Affecting Conditions and Disorders: Systematic Literature Review
Alper Idrisoglu, Ana Luiza Dallora, Peter Anderberg, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e46105-e46105
Open Access | Times Cited: 21
Classification of Parkinson’s disease utilizing multi-edit nearest-neighbor and ensemble learning algorithms with speech samples
Hehua Zhang, Liuyang Yang, Yuchuan Liu, et al.
BioMedical Engineering OnLine (2016) Vol. 15, Iss. 1
Open Access | Times Cited: 56
Fast feature selection for interval-valued data through kernel density estimation entropy
Jianhua Dai, Ye Liu, Jiaolong Chen, et al.
International Journal of Machine Learning and Cybernetics (2020) Vol. 11, Iss. 12, pp. 2607-2624
Closed Access | Times Cited: 43
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
Representation of fluctuation features in pathological knee joint vibroarthrographic signals using kernel density modeling method
Shanshan Yang, Suxian Cai, Fang Zheng, et al.
Medical Engineering & Physics (2014) Vol. 36, Iss. 10, pp. 1305-1311
Closed Access | Times Cited: 49
Speech-based characterization of dopamine replacement therapy in people with Parkinson’s disease
Raquel Norel, Carla Agurto, Stephen Heisig, et al.
npj Parkinson s Disease (2020) Vol. 6, Iss. 1
Open Access | Times Cited: 37
Local discriminant preservation projection embedded ensemble learning based dimensionality reduction of speech data of Parkinson’s disease
Yuchuan Liu, Yongming Li, Xiaoheng Tan, et al.
Biomedical Signal Processing and Control (2020) Vol. 63, pp. 102165-102165
Closed Access | Times Cited: 29
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
Recombination spot identification Based on gapped k-mers
Rong Wang, Yong Xu, Bin Liu
Scientific Reports (2016) Vol. 6, Iss. 1
Open Access | Times Cited: 29
Early diagnosis of Parkinson’s disease based on non-motor symptoms: a descriptive and factor analysis
Harisudha Kuresan, Samiappan Dhanalakshmi, Senjuti Ghosh, et al.
Journal of Ambient Intelligence and Humanized Computing (2021)
Closed Access | Times Cited: 19
Cochleagram to Recognize Dysphonia: Auditory Perceptual Analysis for Health Informatics
Rumana Islam, Esam Abdel‐Raheem, Mohammed Tarique
IEEE Access (2024) Vol. 12, pp. 59198-59210
Open Access | Times Cited: 2
Effect of thermal oxidation on detection of adulteration at low concentrations in extra virgin olive oil: Study based on laser-induced fluorescence spectroscopy combined with KPCA–LDA
Yi Li, Siying Chen, He Chen, et al.
Food Chemistry (2019) Vol. 309, pp. 125669-125669
Closed Access | Times Cited: 22
Feature selection and extraction for class prediction in dysphonia measures analysis:A case study on Parkinson’s disease speech rehabilitation
Ismail El Moudden, Mounir Ouzir, Souad Elbernoussi
Technology and Health Care (2017) Vol. 25, Iss. 4, pp. 693-708
Closed Access | Times Cited: 18
Clustering Parkinson’s and Age-Related Voice Impairment Signal Features for Unsupervised Learning
Alice Rueda, Sridhar Krishnan
Advances in Data Science and Adaptive Analysis (2018) Vol. 10, Iss. 02, pp. 1840007-1840007
Closed Access | Times Cited: 18
Feature analysis of dysphonia speech for monitoring Parkinson's disease
Alice Rueda, Sridhar Krishnan
(2017), pp. 2308-2311
Closed Access | Times Cited: 17
Classification of knee joint vibroarthrographic signals using k-nearest neighbor algorithm
Kaizhi Liu, Xin Luo, Shanshan Yang, et al.
(2014), pp. 1-4
Closed Access | Times Cited: 16
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