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:

MNC-Net: Multi-task graph structure learning based on node clustering for early Parkinson’s disease diagnosis
Liqin Huang, Xiaofang Ye, Mingjing Yang, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106308-106308
Closed Access | Times Cited: 22

Showing 22 citing articles:

A Systematic Review of Graph Neural Network in Healthcare-Based Applications: Recent Advances, Trends, and Future Directions
Showmick Guha Paul, Arpa Saha, Md. Zahid Hasan, et al.
IEEE Access (2024) Vol. 12, pp. 15145-15170
Open Access | Times Cited: 16
A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment
Jael Sanyanda Wekesa, Michael Kimwele
Frontiers in Genetics (2023) Vol. 14
Open Access | Times Cited: 35
Recent Advances in Explainable Artificial Intelligence for Magnetic Resonance Imaging
Jinzhao Qian, Hailong Li, Junqi Wang, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1571-1571
Open Access | Times Cited: 23
Exploiting macro- and micro-structural brain changes for improved Parkinson’s disease classification from MRI data
Milton Camacho, Matthias Wilms, Hannes Almgren, et al.
npj Parkinson s Disease (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 7
Enhancing early Parkinson’s disease detection through multimodal deep learning and explainable AI: insights from the PPMI database
Vincenzo Dentamaro, Donato Impedovo, Luca Musti, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Classification Study of Alzheimer’s Disease Based on Self-Attention Mechanism and DTI Imaging Using GCN
Y Sang, Wan Li
IEEE Access (2024) Vol. 12, pp. 24387-24395
Open Access | Times Cited: 5
Diagnosis of Parkinson’s disease based on voice signals using SHAP and hard voting ensemble method
Paria Ghaheri, Hamid Nasiri, Ahmadreza Shateri, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2023) Vol. 27, Iss. 13, pp. 1858-1874
Open Access | Times Cited: 14
Adaptive feature selection with flexible mapping for diagnosis and prediction of Parkinson's disease
Zhongwei Huang, Jianqiang Li, Jiatao Yang, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110342-110342
Closed Access
Spatio-Temporal Graph Hubness Propagation Model for Dynamic Brain Network Classification
Qi Zhu, Shengrong Li, Xiangshui Meng, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 6, pp. 2381-2394
Closed Access | Times Cited: 3
The Combination of a Graph Neural Network Technique and Brain Imaging to Diagnose Neurological Disorders: A Review and Outlook
Shuoyan Zhang, Jiacheng Yang, Ying Zhang, et al.
Brain Sciences (2023) Vol. 13, Iss. 10, pp. 1462-1462
Open Access | Times Cited: 5
A new hybrid approach based on AOA, CNN and feature fusion that can automatically diagnose Parkinson's disease from sound signals: PDD-AOA-CNN
Muhammed Yıldırım, Soner Kızıloluk, Serpil Aslan, et al.
Signal Image and Video Processing (2023)
Closed Access | Times Cited: 4
A Survey on Methods for Explainability in Deep Learning Models
Kashif Mazhar, Pragya Dwivedi
Learning and analytics in intelligent systems (2024), pp. 257-277
Closed Access | Times Cited: 1
Recent Advances in Medical Image Classification
Loan Dao, Ngoc Quoc Ly
International Journal of Advanced Computer Science and Applications (2024) Vol. 15, Iss. 7
Open Access | Times Cited: 1
Parkinson’s Disease Classification Using Contrastive Graph Cross-View Learning with Multimodal Fusion of Spect Images and Clinical Features
Jun-En Ding, Chien‐Chin Hsu, Feng Liu
(2024), pp. 1-5
Open Access | Times Cited: 1
From Voxels to Insights: Exploring the Effectiveness and Transparency of Graph Neural Networks in Brain Tumor Segmentation
Daniela Amendola, Andrea Basile, Giovanna C. Castellano, et al.
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-7
Closed Access | Times Cited: 1
Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review
Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales, et al.
Neurology International (2024) Vol. 16, Iss. 6, pp. 1285-1307
Open Access | Times Cited: 1
Semi-supervised segmentation of orbit in CT images with paired copy-paste strategy
Wentao Li, Hong Song, Danni Ai, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108176-108176
Closed Access
Artificial intelligence in diagnosis of neural disorders using biosignals and imaging
Abdülhamit Subaşı, Tuba Nur Subasi, Öznur Özaltın
Elsevier eBooks (2024), pp. 523-560
Closed Access
Updated Models of Alzheimer’s Disease with Deep Neural Networks
Tatyana Sakharova, Siqi Mao, Mikhail Osadchuk
Journal of Alzheimer s Disease (2024) Vol. 100, Iss. 2, pp. 685-697
Closed Access
Development and validation of a prediction model using sella magnetic resonance imaging-based radiomics and clinical parameters for diagnosis of growth hormone deficiency and idiopathic short stature: A cross-sectional, multicenter study (Preprint)
Kyungchul Song, Taehoon Ko, Hyun Wook Chae, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e54641-e54641
Open Access
Bio-inspired feature selection for early diagnosis of Parkinson’s disease through optimization of deep 3D nested learning
S. Priyadharshini, K. Ramkumar, V. Subramaniyaswamy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Indirect estimation of pediatric reference interval via density graph deep embedded clustering
Jianguo Zheng, Yongqiang Tang, Xiaoxia Peng, et al.
Computers in Biology and Medicine (2023) Vol. 169, pp. 107852-107852
Closed Access
Page 1

Scroll to top