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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:

A Comparative Study of Existing Machine Learning Approaches for Parkinson's Disease Detection
Gunjan Pahuja, T.N. Nagabhushan
IETE Journal of Research (2018) Vol. 67, Iss. 1, pp. 4-14
Closed Access | Times Cited: 88

Showing 1-25 of 88 citing articles:

New era of artificial intelligence and machine learning-based detection, diagnosis, and therapeutics in Parkinson’s disease
Rohan Gupta, Smita Kumari, Anusha Senapati, et al.
Ageing Research Reviews (2023) Vol. 90, pp. 102013-102013
Closed Access | Times Cited: 53
A Comprehensive Review on AI-Enabled Models for Parkinson’s Disease Diagnosis
Shriniket Dixit, Khitij Bohre, Yashbir Singh, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 783-783
Open Access | Times Cited: 48
Explainable machine learning models based on multimodal time-series data for the early detection of Parkinson’s disease
Muhammad Junaid, Sajid Ali, Fatma Eid, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 234, pp. 107495-107495
Closed Access | Times Cited: 45
Automated Parkinson’s disease recognition based on statistical pooling method using acoustic features
Orhan Yaman, Fatih Ertam, Türker Tuncer
Medical Hypotheses (2019) Vol. 135, pp. 109483-109483
Closed Access | Times Cited: 83
Robust automated Parkinson disease detection based on voice signals with transfer learning
Onur Karaman, Hakan Çakın, Adi Alhudhaif, et al.
Expert Systems with Applications (2021) Vol. 178, pp. 115013-115013
Closed Access | Times Cited: 78
Classification of Parkinson’s disease and its stages using machine learning
John Michael Templeton, Christian Poellabauer, Sandra Schneider
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 41
Novel nested patch-based feature extraction model for automated Parkinson's Disease symptom classification using MRI images
Ela Kaplan, Erman Altunışık, Yasemin Ekmekyapar Fırat, et al.
Computer Methods and Programs in Biomedicine (2022) Vol. 224, pp. 107030-107030
Closed Access | Times Cited: 38
Detection of Parkinson disease using multiclass machine learning approach
Saravanan Srinivasan, Parthasarathy Ramadass, Sandeep Kumar Mathivanan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Remote tracking of Parkinson's Disease progression using ensembles of Deep Belief Network and Self-Organizing Map
Mehrbakhsh Nilashi, Hossein Ahmadi, Abbas Sheikhtaheri, et al.
Expert Systems with Applications (2020) Vol. 159, pp. 113562-113562
Closed Access | Times Cited: 62
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
Diagnosis and classification of Parkinson's disease using ensemble learning and 1D-PDCovNN
Majid Nour, Ümit Şentürk, Kemal Polat
Computers in Biology and Medicine (2023) Vol. 161, pp. 107031-107031
Closed Access | Times Cited: 19
A comparative study: prediction of parkinson’s disease using machine learning, deep learning and nature inspired algorithm
Pankaj Kumar Keserwani, Suman R. Das, Nairita Sarkar
Multimedia Tools and Applications (2024) Vol. 83, Iss. 27, pp. 69393-69441
Closed Access | Times Cited: 7
Machine learning for the detection and diagnosis of cognitive impairment in Parkinson’s Disease: A systematic review
Callum Altham, Huaizhong Zhang, Ella Pereira
PLoS ONE (2024) Vol. 19, Iss. 5, pp. e0303644-e0303644
Open Access | Times Cited: 7
Automatic COVID-19 Detection Using Exemplar Hybrid Deep Features with X-ray Images
Prabal Datta Barua, Nadia Fareeda Muhammad Gowdh, Kartini Rahmat, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 15, pp. 8052-8052
Open Access | Times Cited: 37
Parkinson’s disease diagnosis using neural networks: Survey and comprehensive evaluation
M. Tanveer, Ashraf Haroon Rashid, Rahul Kumar, et al.
Information Processing & Management (2022) Vol. 59, Iss. 3, pp. 102909-102909
Closed Access | Times Cited: 26
Detecting Parkinson Disease Using Various AI Enabled Methods: Recent Advances, Requirements, and Open Challenges
Sourabarna Roy, Tannistha Pal, Swapan Debbarma
Smart innovation, systems and technologies (2025), pp. 91-105
Closed Access
Deep Learning-Based Multi-disease Detecting Model
A. Vasuki, Achal Kaushik, Muneesh Kumar
Communications in computer and information science (2025), pp. 134-144
Closed Access
Machine Learning Algorithms for Diseases Prediction: A Systematic Review
Isaac Ampofo Atta Senior, Ebenezer Takyi, Bismark Kusi, et al.
Lecture notes in networks and systems (2025), pp. 97-107
Closed Access
A mobile-assisted voice condition analysis system for Parkinson’s disease: assessment of usability conditions
Javier Carrón, Y. Campos‐Roca, Mario Madruga, et al.
BioMedical Engineering OnLine (2021) Vol. 20, Iss. 1
Open Access | Times Cited: 31
Classification of Parkinson disease using binary Rao optimization algorithms
Suvita Rani Sharma, Birmohan Singh, Manpreet Kaur
Expert Systems (2021) Vol. 38, Iss. 4
Closed Access | Times Cited: 29
Comparative Analysis of Conventional Machine Learning and Deep Learning Techniques for Predicting Parkinson's Disease
Monika Sethi, Vidhu Baggan
(2025), pp. 49-65
Closed Access
Identification of Parkinson’s Disease with Tremors Using Decision Tree Algorithm
Sk. Wasim Akram, A. P. Siva Kumar
Advances in Science, Technology & Innovation/Advances in science, technology & innovation (2025), pp. 29-34
Closed Access
A Modified U‐Shaped Transfer Function: Applied to Classify Parkinson'S Disease
Suvita Rani Sharma, Birmohan Singh, Manpreet Kaur
Computational Intelligence (2025) Vol. 41, Iss. 2
Closed Access
Automated COVID-19 and Heart Failure Detection Using DNA Pattern Technique with Cough Sounds
Mehmet Ali Kobat, Tarık Kıvrak, Prabal Datta Barua, et al.
Diagnostics (2021) Vol. 11, Iss. 11, pp. 1962-1962
Open Access | Times Cited: 24
Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection
Emrah Aydemir, Mehmet Ali Yalçınkaya, Prabal Datta Barua, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 4, pp. 1939-1939
Open Access | Times Cited: 18
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