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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 Convolution Neural Network Based System for Early Diagnosis of Alzheimer's Disease
Rekh Ram Janghel, Yogesh Kumar Rathore
IRBM (2020) Vol. 42, Iss. 4, pp. 258-267
Closed Access | Times Cited: 145

Showing 1-25 of 145 citing articles:

Artificial intelligence in disease diagnosis: a systematic literature review, synthesizing framework and future research agenda
Yogesh Kumar, Apeksha Koul, Ruchi Singla, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 7, pp. 8459-8486
Open Access | Times Cited: 606
DEMNET: A Deep Learning Model for Early Diagnosis of Alzheimer Diseases and Dementia From MR Images
Suriya Murugan, Chandran Venkatesan, M. G. Sumithra, et al.
IEEE Access (2021) Vol. 9, pp. 90319-90329
Open Access | Times Cited: 215
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: 101
Deep Learning-Based Diagnosis of Alzheimer’s Disease
Tausifa Jan Saleem, Syed Rameem Zahra, Fan Wu, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 5, pp. 815-815
Open Access | Times Cited: 78
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
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 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
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
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
Multi-label classification of Alzheimer's disease stages from resting-state fMRI-based correlation connectivity data and deep learning
Abdulaziz Alorf, Muhammad Usman Ghani Khan
Computers in Biology and Medicine (2022) Vol. 151, pp. 106240-106240
Closed Access | Times Cited: 67
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
An Exploration: Alzheimer’s Disease Classification Based on Convolutional Neural Network
Monika Sethi, Sachin Ahuja, Shalli Rani, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 49
EEG functional connectivity and deep learning for automatic diagnosis of brain disorders: Alzheimer’s disease and schizophrenia
Caroline L. Alves, Aruane M. Pineda, Kirstin Roster, et al.
Journal of Physics Complexity (2022) Vol. 3, Iss. 2, pp. 025001-025001
Open Access | Times Cited: 45
Early-Stage Alzheimer’s Disease Categorization Using PET Neuroimaging Modality and Convolutional Neural Networks in the 2D and 3D Domains
Ahsan Bin Tufail, Nazish Anwar, Mohamed Tahar Ben Othman, et al.
Sensors (2022) Vol. 22, Iss. 12, pp. 4609-4609
Open Access | Times Cited: 42
Explanation-Driven HCI Model to Examine the Mini-Mental State for Alzheimer’s Disease
Loveleen Gaur, Mohan Bhandari, Bhadwal Singh Shikhar, et al.
ACM Transactions on Multimedia Computing Communications and Applications (2022) Vol. 20, Iss. 2, pp. 1-16
Closed Access | Times Cited: 38
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: 38
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
Hippocampus Segmentation-Based Alzheimer’s Disease Diagnosis and Classification of MRI Images
A. Balasundaram, Sruthi Srinivasan, A. Rajendra Prasad, et al.
Arabian Journal for Science and Engineering (2023) Vol. 48, Iss. 8, pp. 10249-10265
Open Access | Times Cited: 33
DeepCurvMRI: Deep Convolutional Curvelet Transform-Based MRI Approach for Early Detection of Alzheimer’s Disease
Chahd Chabib, Leontios J. Hadjileontiadis, Aamna Al Shehhi
IEEE Access (2023) Vol. 11, pp. 44650-44659
Open Access | Times Cited: 24
Advancements in computer-assisted diagnosis of Alzheimer's disease: A comprehensive survey of neuroimaging methods and AI techniques for early detection
Kogilavani Shanmugavadivel, Sathishkumar Veerappampalayam Easwaramoorthy, Jaehyuk Cho, et al.
Ageing Research Reviews (2023) Vol. 91, pp. 102072-102072
Open 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
AI-based tool for early detection of Alzheimer's disease
Shafiq Ul Rehman, Noha Tarek, Caroline Magdy, et al.
Heliyon (2024) Vol. 10, Iss. 8, pp. e29375-e29375
Open Access | Times Cited: 8
An effective deep learning-based automatic prediction and classification of Alzheimer's disease using EGELU-SZN technique
B. Sathyabhama, M. Kannan
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1
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
Numerical Grad-Cam Based Explainable Convolutional Neural Network for Brain Tumor Diagnosis
José Antonio Marmolejo-Saucedo, Utku Köse
Mobile Networks and Applications (2022) Vol. 29, Iss. 1, pp. 109-118
Closed Access | Times Cited: 31
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