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:

Relation-Induced Multi-Modal Shared Representation Learning for Alzheimer’s Disease Diagnosis
Zhenyuan Ning, Qing Xiao, Qianjin Feng, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 6, pp. 1632-1645
Closed Access | Times Cited: 64

Showing 1-25 of 64 citing articles:

Multi-Modal Graph Learning for Disease Prediction
Shuai Zheng, Zhenfeng Zhu, Zhizhe Liu, et al.
IEEE Transactions on Medical Imaging (2022) Vol. 41, Iss. 9, pp. 2207-2216
Open Access | Times Cited: 91
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 28
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning
Abdulaziz Alorf, Muhammad Usman Ghani Khan
Computers in Biology and Medicine (2022) Vol. 151, pp. 106240-106240
Closed Access | Times Cited: 67
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction
Kaiwen Tan, Weixian Huang, Xiaofeng Liu, et al.
Artificial Intelligence in Medicine (2022) Vol. 126, pp. 102260-102260
Open Access | Times Cited: 38
Cross-modal autoencoder framework learns holistic representations of cardiovascular state
Adityanarayanan Radhakrishnan, Samuel Friedman, Shaan Khurshid, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open 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: 23
Alzheimer’s disease diagnosis from single and multimodal data using machine and deep learning models: Achievements and future directions
Ahmed Elazab, Changmiao Wang, M. Abdel-Aziz, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124780-124780
Closed Access | Times Cited: 11
Predicting gastric cancer response to anti-HER2 therapy or anti-HER2 combined immunotherapy based on multi-modal data
Zifan Chen, Yang Chen, Yu Sun, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 11
Multimodal Fusion of Brain Imaging Data: Methods and Applications
Na Luo, Weiyang Shi, Zhengyi Yang, et al.
Deleted Journal (2024) Vol. 21, Iss. 1, pp. 136-152
Open Access | Times Cited: 10
Efficient self-attention mechanism and structural distilling model for Alzheimer’s disease diagnosis
Jiayi Zhu, Ying Tan, Rude Lin, et al.
Computers in Biology and Medicine (2022) Vol. 147, pp. 105737-105737
Open Access | Times Cited: 34
Multi-relation graph convolutional network for Alzheimer’s disease diagnosis using structural MRI
Jin Zhang, Xiaohai He, Linbo Qing, et al.
Knowledge-Based Systems (2023) Vol. 270, pp. 110546-110546
Closed Access | Times Cited: 18
A review of fusion methods for omics and imaging data
Weixian Huang, Kaiwen Tan, Ziye Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 1, pp. 74-93
Open Access | Times Cited: 17
Orthogonal latent space learning with feature weighting and graph learning for multimodal Alzheimer’s disease diagnosis
Zhi Chen, Yongguo Liu, Yun Zhang, et al.
Medical Image Analysis (2022) Vol. 84, pp. 102698-102698
Open Access | Times Cited: 25
Improving Alzheimer's Disease Diagnosis With Multi-Modal PET Embedding Features by a 3D Multi-Task MLP-Mixer Neural Network
Zi-Chao Zhang, Xingzhong Zhao, Guiying Dong, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 8, pp. 4040-4051
Closed Access | Times Cited: 14
A hierarchical attention-based multimodal fusion framework for predicting the progression of Alzheimer’s disease
Peixin Lu, Lianting Hu, Alexis Mitelpunkt, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105669-105669
Open Access | Times Cited: 14
Local structural-functional coupling with counterfactual explanations for epilepsy prediction
Jiashuang Huang, Shaolong Wei, Zhen Gao, et al.
NeuroImage (2025) Vol. 306, pp. 120978-120978
Open Access
A multi-constraint representation learning model for identification of ovarian cancer with missing laboratory indicators.
Zihan Lu, Fangjun Huang, Guangyao Cai, et al.
PubMed (2025) Vol. 45, Iss. 1, pp. 170-178
Closed Access
Discriminative latent representation harmonization of multicenter medical data
Weixiong Zhong, Jincheng Xie, Ruimeng Yang, et al.
Expert Systems with Applications (2025), pp. 126659-126659
Closed Access
Survey on machine learning for MRI and PET fusion in alzheimer’s disease
Bouchra Guelib, Rayene Bounab, Haithem Hermessi, et al.
Multimedia Tools and Applications (2025)
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
Unified multi-protocol MRI for Alzheimer’s disease diagnosis: Dual-decoder adversarial autoencoder and ensemble residual shrinkage attention network
Shiyao Li, Shukuan Lin, Yue Tu, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107660-107660
Closed Access
CSEPC: a deep learning framework for classifying small-sample multimodal medical image data in Alzheimer’s disease
Jingyuan Liu, Xiaojie Yu, Hidenao Fukuyama, et al.
BMC Geriatrics (2025) Vol. 25, Iss. 1
Open Access
A large language model based data generation framework to improve mild cognitive impairment detection sensitivity
Yang Han, Jacqueline C. K. Lam, Victor O. K. Li, et al.
Data & Policy (2025) Vol. 7
Open Access
Multi-view imputation and cross-attention network based on incomplete longitudinal and multimodal data for conversion prediction of mild cognitive impairment
Tao Wang, Xiumei Chen, Xiaoling Zhang, et al.
Expert Systems with Applications (2023) Vol. 231, pp. 120761-120761
Open Access | Times Cited: 11
An Attentive Multi-Modal CNN for Brain Tumor Radiogenomic Classification
Ruyi Qu, Zhifeng Xiao
Information (2022) Vol. 13, Iss. 3, pp. 124-124
Open Access | Times Cited: 17
Page 1 - Next Page

Scroll to top