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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 Survey on Classification Algorithms of Brain Images in Alzheimer’s Disease Based on Feature Extraction Techniques
Ruhul Amin Hazarika, Arnab Kumar Maji, Samarendra Nath Sur, et al.
IEEE Access (2021) Vol. 9, pp. 58503-58536
Open Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

An Approach for Classification of Alzheimer’s Disease Using Deep Neural Network and Brain Magnetic Resonance Imaging (MRI)
Ruhul Amin Hazarika, Arnab Kumar Maji, Debdatta Kandar, et al.
Electronics (2023) Vol. 12, Iss. 3, pp. 676-676
Open Access | Times Cited: 42
Dual-3DM3AD: Mixed Transformer Based Semantic Segmentation and Triplet Pre-Processing for Early Multi-Class Alzheimer’s Diagnosis
Arfat Ahmad Khan, Rakesh Kumar Mahendran, P Kumar, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering (2024) Vol. 32, pp. 696-707
Open Access | Times Cited: 21
An Improved LeNet-Deep Neural Network Model for Alzheimer’s Disease Classification Using Brain Magnetic Resonance Images
Ruhul Amin Hazarika, Ajith Abraham, Debdatta Kandar, et al.
IEEE Access (2021) Vol. 9, pp. 161194-161207
Open Access | Times Cited: 43
Hippocampus Segmentation Using U-Net Convolutional Network from Brain Magnetic Resonance Imaging (MRI)
Ruhul Amin Hazarika, Arnab Kumar Maji, Raplang Syiem, et al.
Journal of Digital Imaging (2022) Vol. 35, Iss. 4, pp. 893-909
Open Access | Times Cited: 26
Alzheimer’s Disease Classification using Hybrid Loss Psi-Net Segmentation and A New Hybrid Network Model
G Indhumathi, M. Palanivelan
Computational Biology and Chemistry (2025) Vol. 116, pp. 108375-108375
Closed Access
Studying the effect of Chlamydia trachomatis, Helicobacter pylori, and Varicella zoster microorganisms in stimulating the expression of cytokines TNFα, IFNɤ, TGFβ, IL-10 in Alzheimer and non-Alzheimer patients
Sima Taheri, Mansoureh Paknejadi, Davoud Esmaeili, et al.
Neuroscience Letters (2025), pp. 138192-138192
Closed Access
Feature Fusion based Deep Learning Model for Alzheimer's Neurological Disorder Classification
Arhath Kumar, S. Pradeep, Kumud Arora, et al.
Neuroscience Informatics (2025), pp. 100196-100196
Open Access
Classification method based on surf and sift features for alzheimer diagnosis using diffusion tensor magnetic resonance imaging
Nourhan Zayed, Ghaidaa Eldeep, Inas A. Yassine
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Deep Learning based Scalable and Adaptive Feature Extraction Framework for Medical Images
Zainab Loukil, Qublai Khan Ali Mirza, Will Sayers, et al.
Information Systems Frontiers (2023) Vol. 26, Iss. 4, pp. 1279-1305
Open Access | Times Cited: 11
A novel machine learning based technique for classification of early-stage Alzheimer’s disease using brain images
Ruhul Amin Hazarika, Debdatta Kandar, Arnab Kumar Maji
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 24277-24299
Closed Access | Times Cited: 10
Detection of Alzheimer's disease using deep learning models: A systematic literature review
Eqtidar M. Mohammed, Ahmed M. Fakhrudeen, Omar Alani
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101551-101551
Open Access | Times Cited: 3
A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach
Rajesh Arunachalam, Gurram Sunitha, Surendra Kumar Shukla, et al.
Knowledge and Information Systems (2023) Vol. 65, Iss. 12, pp. 5561-5599
Closed Access | Times Cited: 8
Medical image denoising using convolutional neural networks
Rini Smita Thakur, Shubhojeet Chatterjee, Ram Narayan Yadav, et al.
Elsevier eBooks (2023), pp. 115-138
Closed Access | Times Cited: 6
Study of Alzheimer’s disease brain impairment and methods for its early diagnosis: a comprehensive survey
Shruti Pallawi, Dushyant Kumar Singh
International Journal of Multimedia Information Retrieval (2023) Vol. 12, Iss. 1
Closed Access | Times Cited: 6
A Deep Convolutional Neural Networks Based Approach for Alzheimer’s Disease and Mild Cognitive Impairment Classification Using Brain Images
Ruhul Amin Hazarika, Debdatta Kandar, Arnab Kumar Maji
IEEE Access (2022) Vol. 10, pp. 99066-99076
Open Access | Times Cited: 9
ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification Type of article: Full length article.
Md Assaduzzaman, Monoronjon Dutta, Arpa Saha, et al.
Informatics in Medicine Unlocked (2024), pp. 101584-101584
Open Access | Times Cited: 1
Alzheimer’s disease detection from magnetic resonance imaging: a deep learning perspective
Karolina Armonaité, Marco La Ventura, Luigi Laura
Exploration of Neuroprotective Therapy (2023) Vol. 3, Iss. 3, pp. 139-150
Open Access | Times Cited: 4
A Novel Method for Diagnosing Alzheimer’s Disease from MRI Scans using the ResNet50 Feature Extractor and the SVM Classifier
Farhana Islam, Md. Habibur Rahman, Nurjahan, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 6
Open Access | Times Cited: 4
A systematic literature review of machine learning approaches for class-wise recognition of Alzheimer’s disease using neuroimaging-based brain disorder analysis
Sarah Almatrafi, Qaisar Abbas, Mostafa E. A. Ibrahim
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Prediction and Feature Extraction Techniques used for Classification of Alzheimer’s Disease in its Early Stage using MRI: A Review
Guillaume Merlin, V. Pattabiraman
Advances in computer science research (2023), pp. 94-100
Open Access | Times Cited: 2
Early Detection of Medical Image Analysis by Using Machine Learning Method
Ahmad M. Khasawneh, Amal Bukhari, Mahmoud Ahmad Al‐Khasawneh
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 3
Enhanced Long Short Term Memory for Early Alzheimer's Disease Prediction
M. Vinoth Kumar, Mudavath Bhanu Prakash, M. Naresh Kumar, et al.
Intelligent Automation & Soft Computing (2022) Vol. 35, Iss. 2, pp. 1277-1293
Open Access | Times Cited: 3
Data Complexity-Based Evaluation Using Brain Magnetic Resonance Images to Determine Alzheimer’s Disease
Pankaj Kumar
Indian Journal of Science and Technology (2024) Vol. 17, Iss. 1, pp. 26-37
Open Access
Development of hybrid deep CNN with denoising MLP for accurate prediction of Alzheimer’s disease
V. Sanjay, P. Swarnalatha
Intelligent Decision Technologies (2024) Vol. 18, Iss. 1, pp. 427-440
Closed Access
Improving the Detection of Alzheimer's Disease with Advanced Artificial Diagnosis and Classification Methods
Tulip Das, Chinmaya Kumar Nayak, Parthasarathi Pattnayak
2022 International Conference on Inventive Computation Technologies (ICICT) (2024)
Closed Access
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