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:

Analysis of Ensemble of Machine Learning Algorithms for Detection of Parkinson's Disease
Gowthami Tallapureddy, D. Radha
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC) (2022), pp. 354-361
Closed Access | Times Cited: 11

Showing 11 citing articles:

COMPREHENSIVE MACHINE LEARNING AND DEEP LEARNING APPROACHES FOR PARKINSON'S DISEASE CLASSIFICATION AND SEVERITY ASSESSMENT
Oumaima Majdoubi, Achraf Benba, Ahmed Hammouch
Informatyka Automatyka Pomiary w Gospodarce i Ochronie Środowiska (2023) Vol. 13, Iss. 4, pp. 15-20
Open Access | Times Cited: 6

An Adaptive Intelligent Polar Bear (AIPB) Optimization-Quantized Contempo Neural Network (QCNN) model for Parkinson’s disease diagnosis using speech dataset
S. Pragadeeswaran, S. Kannimuthu
Biomedical Signal Processing and Control (2023) Vol. 87, pp. 105467-105467
Closed Access | Times Cited: 4

Efficient Model for Prediction of Parkinson's Disease Using Machine Learning Algorithms with Hybrid Feature Selection Methods
Nutan Singh, Priyanka Tripathi
Communications in computer and information science (2024), pp. 186-203
Closed Access | Times Cited: 1

Comprehensive Analysis of Machine LearningTechniques for Parkinson’s disease Diagnosis
Dolly Kumari, Rahul Bhandari
(2023), pp. 1-7
Closed Access | Times Cited: 4

Enhancing Parkinson's Disease Diagnosis using Speech Analysis:A Feature Subset Selection Approach with LIME and SHAP
Sai Santhoshi Haneesha Samudrala, Jaishitha Thambi, Sai Rishisri Vadluri, et al.
(2024), pp. 1-5
Closed Access

Integrative Day Trading Stock Trend Prediction using Web Scraping and Sentiment Analysis
Anjali Chennupati, Bhamidipati Prahas, Bharadwaj Aaditya Ghali, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access

Parkinson's Disease Diagnosis from Patients Speech Analysis
Harshitha Reddy T, Aryagopal, Dumpa Venkata Sai Jagadeesh, et al.
2022 IEEE 7th International conference for Convergence in Technology (I2CT) (2024)
Closed Access

Parkinson's Disease Severity Assessment: A Comparative Study & Interpretability Analysis
Utkarsh Tiwari, Poluru Reddy Jahanve, Siwani Karna, et al.
(2024), pp. 1-5
Closed Access

Explaining Parkinson's Disease Detection by Ensemble Classifiers with Local Interpretable Features
Alok Kumar Karn, Aniket Dixit, Peeta Basa Pati, et al.
IFIP advances in information and communication technology (2024), pp. 68-79
Closed Access

Stacked Model-Based Classification of Parkinson’s Disease Patients Using Imaging Biomarker Data
Jigna J. Hathaliya, Hetav Modi, Rajesh Gupta, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 579-579
Open Access | Times Cited: 2

A study on modeling the dopaminergic pathways of Parkinson’s disease
Ghosh Prabal, Sasidharan Rajeswari Sreeja, P. S. Rohit, et al.
AIP conference proceedings (2023) Vol. 2917, pp. 050008-050008
Closed Access

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