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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:

Predicting Alzheimer's disease progression using deep recurrent neural networks
Minh Nguyen, Tong He, Lijun An, et al.
NeuroImage (2020) Vol. 222, pp. 117203-117203
Open Access | Times Cited: 145

Showing 1-25 of 145 citing articles:

Machine Learning and Deep Learning Approaches for Brain Disease Diagnosis: Principles and Recent Advances
Protima Khan, Md. Fazlul Kader, S. M. Riazul Islam, et al.
IEEE Access (2021) Vol. 9, pp. 37622-37655
Open Access | Times Cited: 158
Machine learning techniques for diagnosis of alzheimer disease, mild cognitive disorder, and other types of dementia
Golrokh Mirzaei, Hojjat Adeli
Biomedical Signal Processing and Control (2021) Vol. 72, pp. 103293-103293
Closed Access | Times Cited: 141
A comprehensive review of machine learning algorithms and their application in geriatric medicine: present and future
Richard Woodman, Arduino A. Mangoni
Aging Clinical and Experimental Research (2023) Vol. 35, Iss. 11, pp. 2363-2397
Open Access | Times Cited: 50
A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer’s disease
Akhilesh Deep Arya, Sourabh Singh Verma, Prasun Chakarabarti, et al.
Brain Informatics (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 45
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: 25
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: 16
MicroRNAs: pioneering regulators in Alzheimer’s disease pathogenesis, diagnosis, and therapy
Yao-Bo Li, Qiang Fu, Mei Guo, et al.
Translational Psychiatry (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 15
Computational Modeling of Dementia Prediction Using Deep Neural Network: Analysis on OASIS Dataset
Shakila Basheer, Surbhi Bhatia, Sapiah Sakri
IEEE Access (2021) Vol. 9, pp. 42449-42462
Open Access | Times Cited: 101
A review of the application of deep learning in the detection of Alzheimer's disease
Shuangshuang Gao, Dimas Lima
International Journal of Cognitive Computing in Engineering (2021) Vol. 3, pp. 1-8
Open Access | Times Cited: 65
Prediction of Alzheimer's progression based on multimodal Deep-Learning-based fusion and visual Explainability of time-series data
Nasir Rahim, Shaker El–Sappagh, Sajid Ali, et al.
Information Fusion (2022) Vol. 92, pp. 363-388
Closed Access | Times Cited: 58
EEG-Based Alzheimer’s Disease Recognition Using Robust-PCA and LSTM Recurrent Neural Network
Michele Alessandrini, Giorgio Biagetti, Paolo Crippa, et al.
Sensors (2022) Vol. 22, Iss. 10, pp. 3696-3696
Open Access | Times Cited: 47
Automatic Detection of Alzheimer's Disease using Deep Learning Models and Neuro-Imaging: Current Trends and Future Perspectives
T. Illakiya, R. Karthik
Neuroinformatics (2023) Vol. 21, Iss. 2, pp. 339-364
Closed Access | Times Cited: 37
A Survey of Deep Learning for Alzheimer’s Disease
Qinghua Zhou, Jiaji Wang, Xiang Yu, et al.
Machine Learning and Knowledge Extraction (2023) Vol. 5, Iss. 2, pp. 611-668
Open Access | Times Cited: 22
Alzheimer's disease: The role of proteins in formation, mechanisms, and new therapeutic approaches
Amirreza Gholami
Neuroscience Letters (2023) Vol. 817, pp. 137532-137532
Closed Access | Times Cited: 22
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
Deep recurrent model for individualized prediction of Alzheimer’s disease progression
Wonsik Jung, Eunji Jun, Heung‐Il Suk
NeuroImage (2021) Vol. 237, pp. 118143-118143
Open Access | Times Cited: 49
Forecasting individual progression trajectories in Alzheimer’s disease
Etienne Maheux, Igor Koval, Juliette Ortholand, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 21
Alzheimer's disease diagnosis in the metaverse
Jalal Safari Bazargani, Nasir Rahim, Abolghasem Sadeghi‐Niaraki, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 255, pp. 108348-108348
Closed Access | Times Cited: 5
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
Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes
J.E. Solís-Pérez, J.A. Hernández, A. Parrales, et al.
Neural Networks (2022) Vol. 152, pp. 44-56
Closed Access | Times Cited: 25
Goal-specific brain MRI harmonization
Lijun An, Jianzhong Chen, Pansheng Chen, et al.
NeuroImage (2022) Vol. 263, pp. 119570-119570
Open Access | Times Cited: 22
Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine
Yonghyun Nam, Jae‐Sik Kim, Sang‐Hyuk Jung, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 225-250
Closed Access | Times Cited: 4
Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information
Muhammad Febrian Rachmadi, María Valdés Hernández, Stephen Makin, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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
Temporal modeling and AT profiles in the early phase of Alzheimer's disease
Carlos Platero
Journal of Alzheimer s Disease Reports (2025) Vol. 9
Open Access
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