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:

Early diagnosis of Parkinson’s disease: A combined method using deep learning and neuro-fuzzy techniques
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Salma Yasmin Mohd Yusuf, et al.
Computational Biology and Chemistry (2022) Vol. 102, pp. 107788-107788
Closed Access | Times Cited: 21

Showing 21 citing articles:

Parkinson’s disease diagnosis using deep learning: A bibliometric analysis and literature review
Rabab Ali Abumalloh, Mehrbakhsh Nilashi, Sarminah Samad, et al.
Ageing Research Reviews (2024) Vol. 96, pp. 102285-102285
Closed Access | Times Cited: 11
A review of machine learning and deep learning for Parkinson’s disease detection
Helena Rabie, Moulay A. Akhloufi
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access | Times Cited: 1
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: 8
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
Deep learning vs. conventional methods for parkinson's disease diagnosis: a systematic review
Sowjanya Vuddanti, A. Srinagesh
Salud Ciencia y Tecnología - Serie de Conferencias (2025) Vol. 4, pp. 1353-1353
Closed Access
Accuracy Analysis of Type-2 Fuzzy System in Predicting Parkinson’s Disease Using Biomedical Voice Measures
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Hossein Ahmadi, et al.
International Journal of Fuzzy Systems (2024) Vol. 26, Iss. 4, pp. 1261-1284
Closed Access | Times Cited: 3
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: 5
Parkinson’s Disease Diagnosis Using Laplacian Score, Gaussian Process Regression and Self-Organizing Maps
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Sultan Alyami, et al.
Brain Sciences (2023) Vol. 13, Iss. 4, pp. 543-543
Open Access | Times Cited: 4
A Combined Method for Diabetes Mellitus Diagnosis Using Deep Learning, Singular Value Decomposition, and Self-Organizing Map Approaches
Mehrbakhsh Nilashi, Rabab Ali Abumalloh, Sultan Alyami, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1821-1821
Open Access | Times Cited: 4
IoMT Tsukamoto Type-2 fuzzy expert system for tuberculosis and Alzheimer’s disease
M. K. Sharma, Nitesh Dhiman, Ajendra K. Sharma, et al.
Clinical eHealth (2024) Vol. 7, pp. 77-91
Open Access | Times Cited: 1
A Transfer Learning Approach for Neurodegenerative Disease Classification from Brain MRI Images: Distinguishing Alzheimer's, Parkinson's, and Control Cases
Ayesha Siddiqua, Atib Mohammad Oni, Md. Jarez Miah
(2024), pp. 347-351
Closed Access | Times Cited: 1
Parkinson’s Disease Detection from Voice Recordings Using Associative Memories
Irving Luna-Ortiz, Mario Aldape-Pérez, Abril Valeria Uriarte-Arcia, et al.
Healthcare (2023) Vol. 11, Iss. 11, pp. 1601-1601
Open Access | Times Cited: 3
Parkinson’s Disease Identification from Speech Signals Using Machine Learning Models
Rahul Saxena, J. Andrew
Lecture notes in networks and systems (2024), pp. 201-213
Closed Access
Forecast the Onset of Parkinson’s Disease at all Three Stages using Deep Learning Techniques
Caroline El Fiorenza J, V. Sellam, J. Dafni Rose
(2023), pp. 1-8
Closed Access | Times Cited: 1
Advanced Deep Learning Methodologies in the Diagnosis of Parkinson's Disease: A Comprehensive Review
Shaikh Haque Naema
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT (2024) Vol. 08, Iss. 06, pp. 1-5
Open Access
Knowledge Discovery of Patients Reviews on Breast Cancer Drugs: Segmentation of Side Effects Using Machine Learning Techniques
Mehrbakhsh Nilashi, Hossein Ahmadi, Rabab Ali Abumalloh, et al.
Heliyon (2024) Vol. 10, Iss. 19, pp. e38563-e38563
Open Access
Biomechanics of Parkinson’s Disease with Systems Based on Expert Knowledge and Machine Learning: A Scoping Review
Luis Pastor Sánchez Fernández
Computation (2024) Vol. 12, Iss. 11, pp. 230-230
Open Access
Early Parkinson’s disease diagnosis using Transition Propagation Graph Neutral Network with Dynamic Hunting Leadership Optimization
S. Subasree, Swati Priya, S. Brinda, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107196-107196
Closed Access
Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size
Valter Cesar de Souza, Sérgio Augusto Rodrigues, Luís Roberto Almeida Gabriel Filho
PLoS ONE (2024) Vol. 19, Iss. 12, pp. e0315574-e0315574
Open Access
EFFECTIVE APPLICATION OF MACHINE LEARNING ALGORITHMS FOR THE EARLY DIAGNOSIS OF LEARNING DISABILITIES IN PRESCHOOL CHILDREN
Tatiana V. Vasilieva, Gordey Vladimirovich Vasilev
Russian Journal of Education and Psychology (2023) Vol. 14, Iss. 3, pp. 30-44
Open Access
Development of Healthcare Model Using AR-DVAE with Mayfly-MLP-BPN for Parkinson's Disease Detection
G N Keshava Murthy, Piyush Kumar Pareek, T N Manjunath, et al.
(2023), pp. 1-7
Closed Access
Page 1

Scroll to top