Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A Novel Artificial-Intelligence-Based Approach for Classification of Parkinson’s Disease Using Complex and Large Vocal Features
Rahul Nijhawan, M. Senthil Kumar, Sahitya Arya, et al.
Biomimetics (2023) Vol. 8, Iss. 4, pp. 351-351
Open Access | Times Cited: 12

Showing 12 citing articles:

Innovative Speech-Based Deep Learning Approaches for Parkinson’s Disease Classification: A Systematic Review
Lisanne van Gelderen, Cristian Tejedor-Garcı́a
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 7873-7873
Open Access | Times Cited: 5
Current Status and Outlook of the Application of Artificial Intelligence Technology in the Diagnosis and Treatment of Parkinson’s Disease
琬霖 周
International Journal of Psychiatry and Neurology (2025) Vol. 14, Iss. 01, pp. 1-7
Closed Access
Machine Learning Analysis of the Telemonitoring Voice Dataset for Enhanced Parkinson's Disease Severity Prediction
Aman Darolia, Rajender Singh Chhillar
Research Square (Research Square) (2025)
Closed Access
Automatic detection of Parkinson’s disease using machine learning and deep learning: A recent literature review
Rani Oomman Panicker, D. Yashasvi, Jodi James, et al.
Ethics Medicine and Public Health (2025) Vol. 33, pp. 101079-101079
Closed Access
Artificial intelligence-enabled detection and assessment of Parkinson’s disease using multimodal data: A survey
Aite Zhao, Yongcan Liu, Xinglin Yu, et al.
Information Fusion (2025), pp. 103175-103175
Closed Access
Voice biomarkers as prognostic indicators for Parkinson’s disease using machine learning techniques
Ifrah Naeem, Allah Ditta, Tehseen Mazhar, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Applications of Artificial Intelligence in Neurological Voice Disorders
Dongren Yao, Aki Koivu, Kristina Simonyan
World Journal of Otorhinolaryngology - Head and Neck Surgery (2025)
Open Access
Automatic Diagnosis of Parkinson's Disease Based on Deep Learning Models and Multimodal Data
Ling Jun Li, Fangyu Dai, Songbin He, et al.
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2024), pp. 179-200
Closed Access | Times Cited: 3
Innovation through Artificial Intelligence in Triage Systems for Resource Optimization in Future Pandemics
Nicolás J. Garrido, Félix González-Martínez, Susana Losada, et al.
Biomimetics (2024) Vol. 9, Iss. 7, pp. 440-440
Open Access | Times Cited: 1
Parkinson disease prediction using improved crayfish optimization based hybrid deep learning
A. Malathi, R. Ramalakshmi, Vaibhav Gandhi, et al.
Technology and Health Care (2024)
Closed Access | Times Cited: 1
AI Based Machine Learning Prediction Measure Parkinson Disease Severity
Dhivya Bharathi Krishnamoorthy, Sasmitha Padhy
Learning and analytics in intelligent systems (2024), pp. 209-219
Closed Access
Integrated Vocal Deviation Index (IVDI): A Machine Learning Model to Classifier of the General Grade of Vocal Deviation
Luiz Medeiros de Araújo Lima Filho, Leonardo Wanderley Lopes, Telmo M. Silva Filho
Journal of Voice (2024)
Closed Access
Page 1

Scroll to top