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:

Multimodal deep learning for Alzheimer’s disease dementia assessment
Shangran Qiu, Matthew I. Miller, Prajakta Joshi, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 186

Showing 1-25 of 186 citing articles:

Recent advances in Alzheimer’s disease: Mechanisms, clinical trials and new drug development strategies
Jifa Zhang, Yinglu Zhang, Jiaxing Wang, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 156

The use of neuroimaging techniques in the early and differential diagnosis of dementia
Leonidas Chouliaras, John T. O’Brien
Molecular Psychiatry (2023) Vol. 28, Iss. 10, pp. 4084-4097
Open Access | Times Cited: 60

Multi-modality approaches for medical support systems: A systematic review of the last decade
Massimo Salvi, Hui Wen Loh, Silvia Seoni, et al.
Information Fusion (2023) Vol. 103, pp. 102134-102134
Open Access | Times Cited: 60

An explainable machine learning approach for Alzheimer’s disease classification
Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 34

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review
Mohammed Alsubaie, Suhuai Luo, Kamran Shaukat
Machine Learning and Knowledge Extraction (2024) Vol. 6, Iss. 1, pp. 464-505
Open Access | Times Cited: 34

Leveraging electronic health records and knowledge networks for Alzheimer’s disease prediction and sex-specific biological insights
Alice Tang, Katherine P. Rankin, Gabriel Cerono, et al.
Nature Aging (2024) Vol. 4, Iss. 3, pp. 379-395
Open Access | Times Cited: 25

AI-based differential diagnosis of dementia etiologies on multimodal data
Chonghua Xue, Sahana S. Kowshik, Diala Lteif, et al.
Nature Medicine (2024) Vol. 30, Iss. 10, pp. 2977-2989
Open Access | Times Cited: 23

A review of artificial intelligence methods for Alzheimer's disease diagnosis: Insights from neuroimaging to sensor data analysis
Ikram Bazarbekov, Abdul Razaque, Madina Ipalakova, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106023-106023
Closed Access | Times Cited: 22

A review of deep learning-based information fusion techniques for multimodal medical image classification
Yihao Li, Mostafa El Habib Daho, Pierre-Henri Conze, et al.
Computers in Biology and Medicine (2024) Vol. 177, pp. 108635-108635
Open Access | Times Cited: 21

Applications of Artificial Intelligence in the Neuropsychological Assessment of Dementia: A Systematic Review
Isabella Veneziani, Angela Marra, Caterina Formica, et al.
Journal of Personalized Medicine (2024) Vol. 14, Iss. 1, pp. 113-113
Open Access | Times Cited: 20

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: 19

Automated detection of Alzheimer’s disease: a multi-modal approach with 3D MRI and amyloid PET
Giovanna Castellano, Andrea Esposito, Eufemia Lella, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 18

Multimodal diagnosis model of Alzheimer’s disease based on improved Transformer
Yan Tang, Xing Xiong, Gan Tong, et al.
BioMedical Engineering OnLine (2024) Vol. 23, Iss. 1
Open Access | Times Cited: 17

Ensemble deep learning for Alzheimer’s disease characterization and estimation
M. Tanveer, Tushar Goel, Rahul Sharma, et al.
Nature Mental Health (2024) Vol. 2, Iss. 6, pp. 655-667
Closed Access | Times Cited: 17

Convolution Neural Networks and Self-Attention Learners for Alzheimer Dementia Diagnosis from Brain MRI
Pierluigi Carcagnì, Marco Leo, Marco Del Coco, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1694-1694
Open Access | Times Cited: 38

Ethical issues when using digital biomarkers and artificial intelligence for the early detection of dementia
Elizabeth Ford, Richard Milne, Keegan Curlewis
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2023) Vol. 13, Iss. 3
Open Access | Times Cited: 33

Machine Learning in Clinical Trials: A Primer with Applications to Neurology
Matthew I. Miller, Ludy C. Shih, Vijaya B. Kolachalama
Neurotherapeutics (2023) Vol. 20, Iss. 4, pp. 1066-1080
Open Access | Times Cited: 27

3D Multimodal Fusion Network With Disease-Induced Joint Learning for Early Alzheimer’s Disease Diagnosis
Zifeng Qiu, Peng Yang, Chunlun Xiao, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 43, Iss. 9, pp. 3161-3175
Closed Access | Times Cited: 14

ML-Powered Handwriting Analysis for Early Detection of Alzheimer’s Disease
Uddalak Mitra, Shafiq Ul Rehman
IEEE Access (2024) Vol. 12, pp. 69031-69050
Open Access | Times Cited: 11

Immunological Profile and Markers of Endothelial Dysfunction in Elderly Patients with Cognitive Impairments
Н. В. Гончаров, Polina I. Popova, I. V. Kudryavtsev, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 3, pp. 1888-1888
Open Access | Times Cited: 9

Introduction to Large Language Models (LLMs) for dementia care and research
Matthias S. Treder, Sojin Lee, Kamen A. Tsvetanov
Frontiers in Dementia (2024) Vol. 3
Open Access | Times Cited: 9

Multimodal missing data in healthcare: A comprehensive review and future directions
Loan T. Le, Thu Nguyen, Michael Riegler, et al.
Computer Science Review (2025) Vol. 56, pp. 100720-100720
Closed Access | Times Cited: 1

Application of artificial intelligence in Alzheimer’s disease: a bibliometric analysis
Sijia Song, Tong Li, Wei Lin, et al.
Frontiers in Neuroscience (2025) Vol. 19
Open Access | Times Cited: 1

Multi-feature computational framework for combined signatures of dementia in underrepresented settings
Sebastián Moguilner, Agustina Birba, Sol Fittipaldi, et al.
Journal of Neural Engineering (2022) Vol. 19, Iss. 4, pp. 046048-046048
Open Access | Times Cited: 29

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