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 generic optimization and learning framework for Parkinson disease via speech and handwritten records
Nada R. Yousif, Hossam Magdy Balaha, Amira Y. Haikal, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 8, pp. 10673-10693
Open Access | Times Cited: 42

Showing 26-50 of 42 citing articles:

Parkinson's disease diagnosis from T1 and T2 weighted magnetic resonance images using FBLstmNet architecture
Sk.Wasim Akram, A. P. Siva Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 19, pp. 56837-56864
Closed Access | Times Cited: 3
Deep convolution neural network based Parkinson’s disease detection using line spectral frequency spectrum of running speech
Rani Kumari, Prakash Ramachandran
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 3, pp. 4599-4615
Closed Access | Times Cited: 2
The Power of Data
Vipasha Abrol, Hina Gupta, Aditya Shukla
Advances in medical technologies and clinical practice book series (2024), pp. 1-19
Closed Access
Late fused multi-modal neural network with votingclassifier for Parkinson’s Disease detection
Abeer Aljohani
Research Square (Research Square) (2024)
Open Access
Performance Comparison of Machine Learning Algorithms for Parkinson's Disease Detection
Ipsha Gupta, Dhwani Vashisth, Rakesh Garg
(2024), pp. 902-907
Closed Access
Early Parkinson's Disease Diagnosis Using Multi-Modal CASENet CNN-LSTM
N. Gayathri, S. Rakesh Kumar, Ummadi Janardhan Reddy, et al.
Advances in healthcare information systems and administration book series (2024), pp. 248-264
Closed Access
A Transfer Learning Based Approach for Alzheimer's Disease Classification
Ruchi Patel, Ashok Kumar Verma, Juhi Jain, et al.
2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (2024) Vol. 62, pp. 1-4
Closed Access
Artificial Intelligence Assisted Classifier’s and Neural Network Based Prediction and Classification of Parkinson’s Disease
Khushi Mittal, Kanwarpartap Singh Gill, Rahul Chauhan, et al.
(2024), pp. 1-6
Closed Access
Late feature fusion using neural network with voting classifier for Parkinson’s disease detection
Abeer Aljohani
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access
Critical analysis of Parkinson’s disease detection using EEG sub-bands and gated recurrent unit
Nauman Khalid, Muhammad Ehsan
Engineering Science and Technology an International Journal (2024) Vol. 59, pp. 101855-101855
Open Access
Framework for segmentation, optimization, and recognition of multivariate brain tumors
Hossam Magdy Balaha, Asmaa El-Sayed Hassan
Elsevier eBooks (2024), pp. 1-32
Closed Access
Advances in human activity recognition: Harnessing machine learning and deep learning with topological data analysis
Hossam Magdy Balaha, Asmaa El-Sayed Hassan
Brain-Computer Interfaces (2024), pp. 1-30
Closed Access
TMemAE: Handwriting Abnormality Analysis for Parkinson Disease
Jing Chen, Yu-Fei Fu, Huafeng Qin, et al.
(2024), pp. 47-52
Closed Access
Parkinson’s Disease Diagnosis Using Deep Convolutional Neural Networks
Atharva Ranade, Sahil Sawant, Rohan Sodha, et al.
(2023), pp. 1-5
Closed Access | Times Cited: 1
A Survey of Machine Learning Methods for Diagnosing Parkinson's Disease with Handwriting
Turgut Özseven, Gülşen Polat
2020 4th International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2023), pp. 1-9
Closed Access | Times Cited: 1
Optimized Hybrid Model for Enhanced Parkinson’s Disease Classification Using Feature Fused Voice Signal
S. Sharanyaa, M Sambath
International Journal of Electronics and Communication Engineering (2023) Vol. 10, Iss. 11, pp. 11-26
Open Access
Recent Advances in Multimodal Machine Learning for Parkinson's Disease Diagnosis: A Comprehensive Review
Ishan Ayus, Chandrashekhar Azad
(2023), pp. 1-7
Closed Access
Alzheimer’s Disease Prediction using SVM Kernal’s with PCA Architecture
Ruchi Patel, Ashok Kumar Verma, R. V. Kshirsagar, et al.
(2023), pp. 755-759
Closed Access
Previous Page - Page 2

Scroll to top