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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:

A Deep Learning Approach for Automated Diagnosis and Multi-Class Classification of Alzheimer’s Disease Stages Using Resting-State fMRI and Residual Neural Networks
Farheen Ramzan, Muhammad Usman Ghani Khan, Asim Rehmat, et al.
Journal of Medical Systems (2019) Vol. 44, Iss. 2
Closed Access | Times Cited: 333

Showing 1-25 of 333 citing articles:

Artificial Intelligence (AI) and Internet of Medical Things (IoMT) Assisted Biomedical Systems for Intelligent Healthcare
Pandiaraj Manickam, Siva Ananth Mariappan, Sindhu Monica Murugesan, et al.
Biosensors (2022) Vol. 12, Iss. 8, pp. 562-562
Open Access | Times Cited: 373
Application of deep learning in detecting neurological disorders from magnetic resonance images: a survey on the detection of Alzheimer’s disease, Parkinson’s disease and schizophrenia
Manan Binth Taj Noor, Nusrat Zerin Zenia, M. Shamim Kaiser, et al.
Brain Informatics (2020) Vol. 7, Iss. 1
Open Access | Times Cited: 269
Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture
Amjad Rehman, Muhammad Attique Khan, Tanzila Saba, et al.
Microscopy Research and Technique (2020) Vol. 84, Iss. 1, pp. 133-149
Closed Access | Times Cited: 249
Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges
Tanzila Saba
Journal of Infection and Public Health (2020) Vol. 13, Iss. 9, pp. 1274-1289
Open Access | Times Cited: 242
A Hybrid Deep Learning-Based Approach for Brain Tumor Classification
Asaf Raza, Huma Ayub, Javed Ali Khan, et al.
Electronics (2022) Vol. 11, Iss. 7, pp. 1146-1146
Open Access | Times Cited: 198
Brain tumor segmentation using K‐means clustering and deep learning with synthetic data augmentation for classification
Amjad Rehman, Siraj M. Khan, Majid Harouni, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 7, pp. 1389-1399
Closed Access | Times Cited: 191
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: 180
Brain tumor detection and multi‐classification using advanced deep learning techniques
Tariq Sadad, Amjad Rehman, Asim Munir, et al.
Microscopy Research and Technique (2021) Vol. 84, Iss. 6, pp. 1296-1308
Closed Access | Times Cited: 171
Deep learning for Alzheimer's disease diagnosis: A survey
M. Khojaste-Sarakhsi, Seyedhamidreza Shahabi Haghighi, S.M.T. Fatemi Ghomi, et al.
Artificial Intelligence in Medicine (2022) Vol. 130, pp. 102332-102332
Closed Access | Times Cited: 107
A survey on deep learning applied to medical images: from simple artificial neural networks to generative models
Pedro Celard, Eva Iglesias, José Manuel Sorribes-Fdez, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2291-2323
Open Access | Times Cited: 102
An Intelligent System for Early Recognition of Alzheimer’s Disease Using Neuroimaging
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius
Sensors (2022) Vol. 22, Iss. 3, pp. 740-740
Open Access | Times Cited: 97
Functional magnetic resonance imaging, deep learning, and Alzheimer's disease: A systematic review
Samuel L. Warren, Ahmed A. Moustafa
Journal of Neuroimaging (2022) Vol. 33, Iss. 1, pp. 5-18
Open Access | Times Cited: 95
Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review
Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari, et al.
Frontiers in Molecular Neuroscience (2022) Vol. 15
Open Access | Times Cited: 79
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: 74
Real-Time Neural MPC: Deep Learning Model Predictive Control for Quadrotors and Agile Robotic Platforms
Tim Salzmann, Elia Kaufmann, Jon Arrizabalaga, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 4, pp. 2397-2404
Open Access | Times Cited: 58
Deep fake detection and classification using error-level analysis and deep learning
Rimsha Rafique, Rahma Gantassi, Rashid Amin, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 58
Explainable Deep-Learning-Based Diagnosis of Alzheimer’s Disease Using Multimodal Input Fusion of PET and MRI Images
Modupe Odusami, Rytis Maskeliūnas, Robertas Damaševičius, et al.
Journal of Medical and Biological Engineering (2023) Vol. 43, Iss. 3, pp. 291-302
Open Access | Times Cited: 45
Alzheimer Disease Classification through Transfer Learning Approach
Noman Raza, Asma Naseer, Maria Tamoor, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 801-801
Open Access | Times Cited: 44
fMRI-Based Alzheimer’s Disease Detection Using the SAS Method with Multi-Layer Perceptron Network
C. Aarthi, Dayanand Lal Narayan, B. D. Parameshachari, et al.
Brain Sciences (2023) Vol. 13, Iss. 6, pp. 893-893
Open Access | Times Cited: 44
A novel CNN architecture for accurate early detection and classification of Alzheimer’s disease using MRI data
A. M. El-Assy, Hanan M. Amer, Hegazi Ibrahim, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 41
An efficient hybrid Deep Learning-Machine Learning method for diagnosing neurodegenerative disorders.
Johnsymol Joy, Mercy Paul Selvan
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 19
A comprehensive review on early detection of Alzheimer's disease using various deep learning techniques
I. Nagarajan, G. G. Lakshmi Priya
Frontiers in Computer Science (2025) Vol. 6
Open Access | Times Cited: 2
Deep learning for brain disorder diagnosis based on fMRI images
Wutao Yin, Longhai Li, Fang‐Xiang Wu
Neurocomputing (2020) Vol. 469, pp. 332-345
Closed Access | Times Cited: 86
Computer vision for microscopic skin cancer diagnosis using handcrafted and non‐handcrafted features
Tanzila Saba
Microscopy Research and Technique (2021) Vol. 84, Iss. 6, pp. 1272-1283
Open Access | Times Cited: 74
Effect of data leakage in brain MRI classification using 2D convolutional neural networks
Ekin Yağış, Selamawet Workalemahu Atnafu, Alba García Seco de Herrera, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 68
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