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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:

Deep residual learning for neuroimaging: An application to predict progression to Alzheimer’s disease
Anees Abrol, Manish Bhattarai, Alex Fedorov, et al.
Journal of Neuroscience Methods (2020) Vol. 339, pp. 108701-108701
Open Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

Classification and Visualization of Alzheimer’s Disease using Volumetric Convolutional Neural Network and Transfer Learning
Kanghan Oh, Young‐Chul Chung, Ko Woon Kim, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 269
Machine learning methods for predicting progression from mild cognitive impairment to Alzheimer’s disease dementia: a systematic review
Sergio Grueso, Raquel Viejo-Sobera
Alzheimer s Research & Therapy (2021) Vol. 13, Iss. 1
Open Access | Times Cited: 178
Deep learning encodes robust discriminative neuroimaging representations to outperform standard machine learning
Anees Abrol, Zening Fu, Mustafa S. Salman, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 160
An MRI-based deep learning approach for accurate detection of Alzheimer’s disease
Marwa El-Geneedy, Hossam El-Din Moustafa, Fahmi Khalifa, et al.
Alexandria Engineering Journal (2022) Vol. 63, pp. 211-221
Open Access | Times Cited: 131
An IoMT‐Enabled Smart Healthcare Model to Monitor Elderly People Using Machine Learning Technique
Muhammad Farrukh Khan, Taher M. Ghazal, Raed A. Said, et al.
Computational Intelligence and Neuroscience (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 123
Early diagnosis of Alzheimer's disease based on deep learning: A systematic review
Sina Fathi, Maryam Ahmadi, Afsaneh Dehnad
Computers in Biology and Medicine (2022) Vol. 146, pp. 105634-105634
Closed Access | Times Cited: 71
Conventional machine learning and deep learning in Alzheimer's disease diagnosis using neuroimaging: A review
Zhen Zhao, Joon Huang Chuah, Khin Wee Lai, et al.
Frontiers in Computational Neuroscience (2023) Vol. 17
Open Access | Times Cited: 65
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
Alzheimer's Disease Detection Through Whole-Brain 3D-CNN MRI
Guilherme Folego, Marina Weiler, Raphael Fernandes Casseb, et al.
Frontiers in Bioengineering and Biotechnology (2020) Vol. 8
Open Access | Times Cited: 102
Robust hybrid deep learning models for Alzheimer’s progression detection
Tamer Abuhmed, Shaker El–Sappagh, José M. Alonso
Knowledge-Based Systems (2020) Vol. 213, pp. 106688-106688
Open Access | Times Cited: 101
3D DenseNet Ensemble in 4-Way Classification of Alzheimer’s Disease
Juan Carlos Ruiz, Mufti Mahmud, Md Modasshir, et al.
Lecture notes in computer science (2020), pp. 85-96
Closed Access | Times Cited: 85
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
Transfer Learning for Alzheimer’s Disease through Neuroimaging Biomarkers: A Systematic Review
Deevyankar Agarwal, Gonçalo Marques, Isabel de la Torre Díez, et al.
Sensors (2021) Vol. 21, Iss. 21, pp. 7259-7259
Open Access | Times Cited: 57
A practical Alzheimer’s disease classifier via brain imaging-based deep learning on 85,721 samples
Bin Lu, Huixian Li, Zhikai Chang, et al.
Journal Of Big Data (2022) Vol. 9, Iss. 1
Open Access | Times Cited: 50
Automated Detection of Alzheimer’s Disease and Mild Cognitive Impairment Using Whole Brain MRI
Fazal Ur Rehman Faisal, Goo‐Rak Kwon
IEEE Access (2022) Vol. 10, pp. 65055-65066
Open Access | Times Cited: 46
OViTAD: Optimized Vision Transformer to Predict Various Stages of Alzheimer’s Disease Using Resting-State fMRI and Structural MRI Data
Saman Sarraf, Arman Sarraf, Danielle D. DeSouza, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 260-260
Open Access | Times Cited: 37
Trustworthy artificial intelligence in Alzheimer’s disease: state of the art, opportunities, and challenges
Shaker El–Sappagh, José M. Alonso, Tamer Abuhmed, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 10, pp. 11149-11296
Closed Access | Times Cited: 25
Automated Medical Diagnosis of Alzheimer´s Disease Using an Efficient Net Convolutional Neural Network
Deevyankar Agarwal, M. Álvaro Berbís, Antonio Luna, et al.
Journal of Medical Systems (2023) Vol. 47, Iss. 1
Open Access | Times Cited: 22
Progress and trends in neurological disorders research based on deep learning
Muhammad Shahid Iqbal, Md Belal Bin Heyat, Saba Parveen, et al.
Computerized Medical Imaging and Graphics (2024) Vol. 116, pp. 102400-102400
Closed Access | Times Cited: 9
Prediction Models for Early Detection of Alzheimer: Recent Trends and Future Prospects
Ishleen Kaur, Rajinder K. Sachdeva
Archives of Computational Methods in Engineering (2025)
Closed Access | Times Cited: 1
Alzheimer’s Disease Projection From Normal to Mild Dementia Reflected in Functional Network Connectivity: A Longitudinal Study
Mohammad S.E. Sendi, Elaheh Zendehrouh, Robyn L. Miller, et al.
Frontiers in Neural Circuits (2021) Vol. 14
Open Access | Times Cited: 54
3D shearlet-based descriptors combined with deep features for the classification of Alzheimer's disease based on MRI data
Sadiq Alinsaif, Jochen Lang
Computers in Biology and Medicine (2021) Vol. 138, pp. 104879-104879
Open Access | Times Cited: 52
Wilson disease tissue classification and characterization using seven artificial intelligence models embedded with 3D optimization paradigm on a weak training brain magnetic resonance imaging datasets: a supercomputer application
Mohit Agarwal, Luca Saba, Suneet Gupta, et al.
Medical & Biological Engineering & Computing (2021) Vol. 59, Iss. 3, pp. 511-533
Closed Access | Times Cited: 51
Challenges for machine learning in clinical translation of big data imaging studies
Nicola K. Dinsdale, Emma Bluemke, Vaanathi Sundaresan, et al.
Neuron (2022) Vol. 110, Iss. 23, pp. 3866-3881
Open Access | Times Cited: 31
A high-generalizability machine learning framework for predicting the progression of Alzheimer’s disease using limited data
Caihua Wang, Yuanzhong Li, Yukihiro Tsuboshita, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 29
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