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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:

Parkinson's disease diagnosis: The effect of autoencoders on extracting features from vocal characteristics
Ashena Gorgan Mohammadi, Pouya Mehralian, Amir Naseri, et al.
Array (2021) Vol. 11, pp. 100079-100079
Open Access | Times Cited: 25

Showing 25 citing articles:

Computerized analysis of speech and voice for Parkinson's disease: A systematic review
Quoc Cuong Ngo, Mohammod Abdul Motin, Nemuel Daniel Pah, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 226, pp. 107133-107133
Closed Access | Times Cited: 58
A Hybrid U-Lossian Deep Learning Network for Screening and Evaluating Parkinson’s Disease
Rytis Maskeliūnas, Robertas Damaševičius, Audrius Kulikajevas, et al.
Applied Sciences (2022) Vol. 12, Iss. 22, pp. 11601-11601
Open Access | Times Cited: 25
Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 13, pp. 1858-1874
Open Access | Times Cited: 14
Hybrid Approach to Voice-Based Classification of Parkinson’s Disease
Luís Silva, Maria J. Ramos
Lecture notes in networks and systems (2025), pp. 189-199
Closed Access
Voice analysis in Parkinson’s disease - a systematic literature review
Daniela Xavier, Virginie Felizardo, Beatriz Ferreira, et al.
Artificial Intelligence in Medicine (2025), pp. 103109-103109
Open Access
Leveraging Computational Intelligence Techniques for Diagnosing Degenerative Nerve Diseases: A Comprehensive Review, Open Challenges, and Future Research Directions
Saransh Bhachawat, Eashwar Shriram, Kathiravan Srinivasan, et al.
Diagnostics (2023) Vol. 13, Iss. 2, pp. 288-288
Open Access | Times Cited: 10
Analysis of Parkinson’s Disease Using an Imbalanced-Speech Dataset by Employing Decision Tree Ensemble Methods
Omar Barukab, Amir Ahmad, Tabrej Khan, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3000-3000
Open Access | Times Cited: 15
A Speech-Based Hybrid Decision Support System for Early Detection of Parkinson's Disease
Rohit Lamba, Tarun Gulati, Anurag Jain, et al.
Arabian Journal for Science and Engineering (2022) Vol. 48, Iss. 2, pp. 2247-2260
Closed Access | Times Cited: 13
Identifying Parkinson's Patients by a Functional Gradient Boosting Approach
Shweta Sharma, Muskan Gupta, Kanu Goyal, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 288-304
Closed Access | Times Cited: 2
Parkinson's disease detection from EEG signal employing autoencoder and RBFNN-based hybrid deep learning framework utilizing power spectral density
Ferdaus Anam Jibon, Alif Tasbir, Md. Alamin Talukder, et al.
Digital Health (2024) Vol. 10
Open Access | Times Cited: 2
Robust and language-independent acoustic features in Parkinson's disease
Sabrina Scimeca, Federica Amato, Gabriella Olmo, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 5
A Computer Method for Pronation-Supination Assessment in Parkinson’s Disease Based on Latent Space Representations of Biomechanical Indicators
Luis Pastor Sánchez Fernández, Alejandro Garza-Rodríguez, Luis Alejandro Sánchez-Pérez, et al.
Bioengineering (2023) Vol. 10, Iss. 5, pp. 588-588
Open Access | Times Cited: 4
Nonlinear Slow Feature Analysis for Oscillating Characteristics Under Deep Encoder-Decoder Framework
Vamsi Krishna Puli, Biao Huang
IEEE Transactions on Industrial Informatics (2024) Vol. 20, Iss. 7, pp. 9568-9578
Closed Access | Times Cited: 1
Heart Disease Prediction Using Machine Learning Techniques
Srikireddy Dhanunjay Reddy, Chandan K. Reddy, M. Sambath, et al.
Communications in computer and information science (2024), pp. 27-35
Closed Access | Times Cited: 1
A systematic review of adaptive machine learning techniques for early detection of Parkinson's disease
S. Dash
Elsevier eBooks (2022), pp. 361-385
Closed Access | Times Cited: 6
Classification Using Radial Basis Function for Prediction of Parkinson's Disease
Md. Mosharraf Umar, Sameena Naaz
2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) (2022), pp. 1-6
Closed Access | Times Cited: 3
An Automatic Parkinson’s Disease Classification System Using Least Square Support Vector Machine
Priyanshu Khandelwal, Kiran Khatter, Devanjali Relan
Lecture notes in electrical engineering (2024), pp. 99-110
Closed Access
Early Detection of Parkinson Disease Throughbiomedical Speech and Voice Analysis
Pawan Kumar Badhan, Manjeet Kaur
International Journal on Soft Computing Artificial Intelligence and Applications (2024) Vol. 13, Iss. 1, pp. 11-22
Open Access
Early Detection of Parkinson Disease through Biomedical Analysis
Pawan Kumar Badhan, Manjeet Kaur
SSRN Electronic Journal (2024)
Closed Access
Analysis of Magnetic Resonance Imaging for Parkinson's Disease
N. K. G. Sanjay Gandhi, H. Banu, S. Navaneethakrishnan, et al.
Lecture notes in networks and systems (2024), pp. 55-61
Closed Access
A novel method for bioinformatics analysis in gene expression profiling framework for personalized healthcare applications
N. Kumareshan, P. Natarajan, Suresh Muthusamy, et al.
Multimedia Tools and Applications (2024)
Closed Access
A Comparative Analysis of Deep Learning Architecture for Accurate Gender Classification Using Vocal Data
Khushi Anand, Bhawna Jain, Ananya Verma, et al.
Communications in computer and information science (2024), pp. 394-404
Closed Access
Machine Learning Algorithms for Diagnosis of Parkinson's disease Based on Voice Characteristics
Polina Sai Manoj, Kondreddy Sumanth Kumar Reddy, M. Sambath, et al.
2022 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI) (2023), pp. 1-6
Closed Access
An Approach Using in Communication Network Apply in Healthcare System Based on the Deep Learning Autoencoder Classification Optimization Metaheuristic Method
Beyhan Gergerli, Fatih V. Çelebi, Javad Rahebi, et al.
Wireless Personal Communications (2023)
Closed Access
Parkinson's Disease Detection Using Data Mining Models: A Comparative Study
Reem Jamal Majed, Rashid Moahmmed Al-Heddi, Ahmed M. Zeki
(2023), pp. 290-294
Closed Access
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