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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:

Multimodal deep learning models for early detection of Alzheimer’s disease stage
Janani Venugopalan, Tong Li, Hamid Reza Hassanzadeh, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 465

Showing 1-25 of 465 citing articles:

Multimodal deep learning for biomedical data fusion: a review
Sören Richard Stahlschmidt, Benjamin Ulfenborg, Jane Synnergren
Briefings in Bioinformatics (2021) Vol. 23, Iss. 2
Open Access | Times Cited: 318
Multimodal machine learning in precision health: A scoping review
Adrienne Kline, Hanyin Wang, Yikuan Li, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 216
Analysis of Features of Alzheimer’s Disease: Detection of Early Stage from Functional Brain Changes in Magnetic Resonance Images Using a Finetuned ResNet18 Network
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Diagnostics (2021) Vol. 11, Iss. 6, pp. 1071-1071
Open Access | Times Cited: 178
Multimodal data fusion for cancer biomarker discovery with deep learning
Sandra Steyaert, Marija Pizurica, Divya Nagaraj, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 4, pp. 351-362
Open Access | Times Cited: 128
Explainable medical imaging AI needs human-centered design: guidelines and evidence from a systematic review
Haomin Chen, Catalina Gómez, Chien‐Ming Huang, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 122
Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine
Sudipta Roy, Tanushree Meena, Se‐Jung Lim
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2549-2549
Open Access | Times Cited: 108
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
Felipe Giuste, Wenqi Shi, Yuanda Zhu, et al.
IEEE Reviews in Biomedical Engineering (2022) Vol. 16, pp. 5-21
Open Access | Times Cited: 84
Multimodal Classification: Current Landscape, Taxonomy and Future Directions
William C. Sleeman, Rishabh Kapoor, Preetam Ghosh
ACM Computing Surveys (2022) Vol. 55, Iss. 7, pp. 1-31
Open Access | Times Cited: 75
Interpretable machine learning for dementia: A systematic review
Sophie Martin, Florence J. Townend, Frederik Barkhof, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 5, pp. 2135-2149
Open Access | Times Cited: 53
Early prediction of Alzheimer's disease and related dementias using real‐world electronic health records
Qian Li, Xi Yang, Jie Xu, et al.
Alzheimer s & Dementia (2023) Vol. 19, Iss. 8, pp. 3506-3518
Open Access | Times Cited: 51
Pixel-Level Fusion Approach with Vision Transformer for Early Detection of Alzheimer’s Disease
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Electronics (2023) Vol. 12, Iss. 5, pp. 1218-1218
Open Access | Times Cited: 51
An evolutionary explainable deep learning approach for Alzheimer's MRI classification
Shakila Shojaei, Mohammad Saniee Abadeh, Zahra Momeni
Expert Systems with Applications (2023) Vol. 220, pp. 119709-119709
Closed Access | Times Cited: 44
A Review of Deep Transfer Learning Approaches for Class-Wise Prediction of Alzheimer’s Disease Using MRI Images
Pushpendra Singh Sisodia, Gaurav Ameta, Yogesh Kumar, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 4, pp. 2409-2429
Closed Access | Times Cited: 43
Deep Multimodal Data Fusion
Fei Zhao, Chengcui Zhang, Baocheng Geng
ACM Computing Surveys (2024) Vol. 56, Iss. 9, pp. 1-36
Open Access | Times Cited: 29
Artificial intelligence and multimodal data fusion for smart healthcare: topic modeling and bibliometrics
Xieling Chen, Haoran Xie, Xiaohui Tao, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 4
Open Access | Times Cited: 23
RESNET-53 for Extraction of Alzheimer’s Features Using Enhanced Learning Models
Rama Lakshmi Boyapati, Radhika YALAVAR
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 23
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: 20
Artificial intelligence and open science in discovery of disease-modifying medicines for Alzheimer’s disease
Feixiong Cheng, Fei Wang, Jian Tang, et al.
Cell Reports Medicine (2024) Vol. 5, Iss. 2, pp. 101379-101379
Open Access | Times Cited: 18
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 18
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: 16
A Transfer Learning Approach: Early Prediction of Alzheimer’s Disease on US Healthy Aging Dataset
C. Kishor Kumar Reddy, Aarti Rangarajan, Deepti Rangarajan, et al.
Mathematics (2024) Vol. 12, Iss. 14, pp. 2204-2204
Open Access | Times Cited: 15
Artificial Intelligence and Neuroscience: Transformative Synergies in Brain Research and Clinical Applications
Răzvan Onciul, Cătălina-Ioana Tătaru, Adrian Dumitru, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 550-550
Open Access | Times Cited: 3
Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification
Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, et al.
Bioengineering (2025) Vol. 12, Iss. 1, pp. 82-82
Open Access | Times Cited: 2
Hyperfusion: A hypernetwork approach to multimodal integration of tabular and medical imaging data for predictive modeling
Daniel Duenias, Brennan Nichyporuk, Tal Arbel, et al.
Medical Image Analysis (2025) Vol. 102, pp. 103503-103503
Open Access | Times Cited: 2
COVID-19 Automatic Diagnosis With Radiographic Imaging: Explainable Attention Transfer Deep Neural Networks
Wenqi Shi, Tong Li, Yuanda Zhu, et al.
IEEE Journal of Biomedical and Health Informatics (2021) Vol. 25, Iss. 7, pp. 2376-2387
Open Access | Times Cited: 73
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