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:

Multimodal Representations Learning and Adversarial Hypergraph Fusion for Early Alzheimer’s Disease Prediction
Qiankun Zuo, Baiying Lei, Yanyan Shen, et al.
Lecture notes in computer science (2021), pp. 479-490
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Prior-Guided Adversarial Learning With Hypergraph for Predicting Abnormal Connections in Alzheimer’s Disease
Qiankun Zuo, Huisi Wu, C. L. Philip Chen, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 6, pp. 3652-3665
Closed Access | Times Cited: 36
Machine learning with multimodal neuroimaging data to classify stages of Alzheimer’s disease: a systematic review and meta-analysis
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Cognitive Neurodynamics (2023) Vol. 18, Iss. 3, pp. 775-794
Open Access | Times Cited: 25
Alzheimer’s Disease Prediction via Brain Structural-Functional Deep Fusing Network
Qiankun Zuo, Yanyan Shen, Na Zhong, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2023) Vol. 31, pp. 4601-4612
Open Access | Times Cited: 20
Alzheimer’s Disease Detection from Fused PET and MRI Modalities Using an Ensemble Classifier
Amar Shukla, Rajeev Tiwari, Shamik Tiwari
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 512-538
Open Access | Times Cited: 17
HyperMM: Robust Multimodal Learning with Varying-Sized Inputs
Hava Chaptoukaev, Vincenzo Marcianó, Francesco Galati, et al.
Lecture notes in computer science (2025), pp. 170-183
Closed Access
Deep Feature Fusion Framework for Alzheimer’s Disease Staging Using Neuroimaging Modalities
Aya Gamal, Mustafa Elattar, Sahar Selim
Communications in computer and information science (2025), pp. 277-288
Closed Access
Brain Causality Modeling Using Structure-Guided Spatiotemporal Diffusion Model for MCI Analysis
Yanfei Zhu, Jiangtao Wang, Xuan Cheng, et al.
Lecture notes in computer science (2025), pp. 3-11
Closed Access
Generative AI Enables EEG Data Augmentation for Alzheimer’s Disease Detection Via Diffusion Model
Tong Zhou, Xuhang Chen, Yanyan Shen, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 12
Distance-based novelty detection model for identifying individuals at risk of developing Alzheimer's disease
Hongqin Yang, Jiangbing Mao, Qinyong Ye, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 4
Multi-modal Mood Reader: Pre-trained Model Empowers Cross-Subject Emotion Recognition
Yihang Dong, Xuhang Chen, Yanyan Shen, et al.
Communications in computer and information science (2024), pp. 178-192
Closed Access | Times Cited: 4
BNLoop-GAN: a multi-loop generative adversarial model on brain network learning to classify Alzheimer’s disease
Yu Cao, Hongzhi Kuai, Peipeng Liang, et al.
Frontiers in Neuroscience (2023) Vol. 17
Open Access | Times Cited: 10
Addiction-related brain networks identification via Graph Diffusion Reconstruction Network
Changhong Jing, Hongzhi Kuai, Hiroki Matsumoto, et al.
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 3
Brain Functional Network Generation Using Distribution-Regularized Adversarial Graph Autoencoder with Transformer for Dementia Diagnosis
Qiankun Zuo, Junhua Hu, Yudong Zhang, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 137, Iss. 3, pp. 2129-2147
Open Access | Times Cited: 8
Synergistic integration of Multi-View Brain Networks and advanced machine learning techniques for auditory disorders diagnostics
Muhammad Ahmed, Yasser Abdel Satar, E. M. Darwish, et al.
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Multi-modal Hypergraph Diffusion Network with Dual Prior for Alzheimer Classification
Angelica I. Avilés-Rivero, Christina Runkel, Nicolas Papadakis, et al.
Lecture notes in computer science (2022), pp. 717-727
Closed Access | Times Cited: 10
TA-GAN: transformer-driven addiction-perception generative adversarial network
Changhong Jing, Changwei Gong, Zuxin Chen, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 13, pp. 9579-9591
Closed Access | Times Cited: 9
Fusing Structural and Functional Connectivities Using Disentangled VAE for Detecting MCI
Qiankun Zuo, Yanfei Zhu, Libin Lu, et al.
Lecture notes in computer science (2023), pp. 3-13
Closed Access | Times Cited: 4
Machine vision-based gait scan method for identifying cognitive impairment in older adults
Yuzhen Qin, Haowei Zhang, Linbo Qing, et al.
Frontiers in Aging Neuroscience (2024) Vol. 16
Open Access | Times Cited: 1
Dominating Alzheimer's disease diagnosis with deep learning on sMRI and DTI-MD
Yuxia Li, Guanqun Chen, Guoxin Wang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1
Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks
Shekhar Mahmud, Mohammed Mansour, Turker Berk Donmez, et al.
Frontiers in Big Data (2023) Vol. 6
Open Access | Times Cited: 3
Explainable Vision Transformer with Self-Supervised Learning to Predict Alzheimer’s Disease Progression Using 18F-FDG PET
Uttam Khatri, Goo‐Rak Kwon
Bioengineering (2023) Vol. 10, Iss. 10, pp. 1225-1225
Open Access | Times Cited: 2
Adversarial Learning Based Structural Brain-Network Generative Model for Analyzing Mild Cognitive Impairment
Heng Kong, Junren Pan, Yanyan Shen, et al.
Lecture notes in computer science (2022), pp. 361-375
Open Access | Times Cited: 3
Multiscale Autoencoder with Structural-Functional Attention Network for Alzheimer’s Disease Prediction
Yongcheng Zong, Changhong Jing, Qiankun Zuo
Lecture notes in computer science (2022), pp. 286-297
Open Access | Times Cited: 3
Multi-atlas Hypergraph Fusion Based on Brain Regions Overlap Amount for Diagnosis of ASD
Huajian Wang, Xiaochen Mu, Tengfei Zhang, et al.
Lecture notes in computer science (2024), pp. 276-286
Closed Access
Unsupervised Anomaly Detection for Mild Cognitive Impairment Using Diffusion Model
Yingtie Lei, Martin Nieuwoudt, Hiroki Matsumoto, et al.
(2023), pp. 41-46
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top