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OpenAlex Citation Counts

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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:

Multi-modal sequence learning for Alzheimer’s disease progression prediction with incomplete variable-length longitudinal data
Lei Xu, Hui Wu, Chunming He, et al.
Medical Image Analysis (2022) Vol. 82, pp. 102643-102643
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

HQG-Net: Unpaired Medical Image Enhancement With High-Quality Guidance
Chunming He, Kai Li, Guoxia Xu, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 12, pp. 18404-18418
Open Access | Times Cited: 26
Deep learning-based approaches for multi-omics data integration and analysis
Jenna L. Ballard, Zexuan Wang, Wenrui Li, et al.
BioData Mining (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 9
TMVF: Trusted Multi-View Fish Behavior Recognition with correlative feature and adaptive evidence fusion
Zhenxi Zhao, Xinting Yang, Chunjiang Zhao, et al.
Information Fusion (2025) Vol. 118, pp. 102899-102899
Closed Access
Multi-knowledge informed deep learning model for multi-point prediction of Alzheimer’s disease progression
Kai Wu, Hong Wang, Feiyan Feng, et al.
Neural Networks (2025) Vol. 185, pp. 107203-107203
Closed 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
Temporal‐multimodal consistency alignment for Alzheimer's cognitive assessment prediction
Xikai Yang, Xilin Dang, Jinyue Cai, et al.
Medical Physics (2025)
Closed Access
De-accumulated error collaborative learning framework for predicting Alzheimer’s disease progression
Hong-li Cheng, Shizhong Yuan, Weimin Li, et al.
Biomedical Signal Processing and Control (2023) Vol. 89, pp. 105767-105767
Closed Access | Times Cited: 8
Modeling Alzheimers’ Disease Progression from Multi-task and Self-supervised Learning Perspective with Brain Networks
Wei Liang, Kai Zhang, Peng Cao, et al.
Lecture notes in computer science (2023), pp. 310-319
Closed Access | Times Cited: 7
Concealed Object Segmentation with Hierarchical Coherence Modeling
Fengyang Xiao, P Zhang, Chunming He, et al.
Lecture notes in computer science (2024), pp. 16-27
Closed Access | Times Cited: 2
Deep learning to predict rapid progression of Alzheimer’s disease from pooled clinical trials: A retrospective study
Xiaotian Ma, Madison Shyer, Kristofer Harris, et al.
PLOS Digital Health (2024) Vol. 3, Iss. 4, pp. e0000479-e0000479
Open Access | Times Cited: 1
Reconstructing Missing Modalities in Multi-Modal Endoscopic Ultrasound Via Cross-Modal Feature Replacement Representation
Cenyang Zheng, Xun Gong, Lin Fan, et al.
(2024)
Closed Access | Times Cited: 1
Knowledge fused latent representation from lung ultrasound examination for COVID-19 pneumonia severity assessment
Zhiqiang Li, Xueping Yang, Hengrong Lan, et al.
Ultrasonics (2024) Vol. 143, pp. 107409-107409
Closed Access | Times Cited: 1
GAN-HA: A generative adversarial network with a novel heterogeneous dual-discriminator network and a new attention-based fusion strategy for infrared and visible image fusion
Guosheng Lu, Zile Fang, Jiaju Tian, et al.
Infrared Physics & Technology (2024) Vol. 142, pp. 105548-105548
Open Access | Times Cited: 1
A residual GRU method with deep cross fusion for Alzheimer’s disease progression prediction using missing variable-length time series data
Nana Jia, Tong Jia, Z X Zhang
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107253-107253
Closed Access | Times Cited: 1
Multi-Task Deep Evidential Sequence Learning for Trustworthy Alzheimer’s Disease Progression Prediction
Zeyuan Zhao, Ping Li, Yongjie Dai, et al.
Applied Sciences (2023) Vol. 13, Iss. 15, pp. 8953-8953
Open Access | Times Cited: 2
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
MADP: Multi-modal Sequence Learning for Alzheimer’s Disease Prediction with Missing Data
Y. Wang, Zirui Wang, Huiyun Gong, et al.
Communications in computer and information science (2024), pp. 93-103
Closed Access
Conditional Score-Based Diffusion Model for Cortical Thickness Trajectory Prediction
Qing Xiao, Siyeop Yoon, Hui Ren, et al.
Lecture notes in computer science (2024), pp. 78-87
Closed Access
LMP-TX: An AI-driven Integrated Longitudinal Multi-modal Platform for Early Prognosis of Late Onset Alzheimer's Disease
Victor O. K. Li, Jacqueline C. K. Lam, Yang Han
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Cross-dataset Evaluation of Dementia Longitudinal Progression Prediction Models
Chen Zhang, Lijun An, Naren Wulan, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Trust EEG Epileptic Seizure Detection via Evidential Multi-view Learning
Ying Liu, Cai Xu, Ziqi Wen, et al.
Information Sciences (2024), pp. 121699-121699
Closed Access
A multi‐view learning approach with diffusion model to synthesize FDG PET from MRI T1WI for diagnosis of Alzheimer's disease
Ke Chen, Ying Weng, Yueqin Huang, et al.
Alzheimer s & Dementia (2024)
Closed Access
Alzheimer’s disease prognosis using neuro-gen evo-synthesis framework for elderly populations
Ahmed E. Youssef, Torki Altameem, Mohamed Shakeel Pethuraj, et al.
Biomedical Signal Processing and Control (2024) Vol. 102, pp. 107349-107349
Closed Access
A Survey of Camouflaged Object Detection and Beyond
Fengyang Xiao, Sujie Hu, Yuqi Shen, et al.
CAAI Artificial Intelligence Research (2024), pp. 9150044-9150044
Open Access
Adapting Machine Learning Diagnostic Models to New Populations Using a Small Amount of Data: Results from Clinical Neuroscience
Rongguang Wang, Guray Erus, Pratik Chaudhari, et al.
arXiv (Cornell University) (2023)
Open Access
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