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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 Novel Approach Utilizing Machine Learning for the Early Diagnosis of Alzheimer's Disease
Khandaker Mohammad Mohi Uddin, Mir Jafikul Alam, Jannat-E-Anawar, et al.
Deleted Journal (2023) Vol. 1, Iss. 2, pp. 882-898
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

A Novel Light-Weight Convolutional Neural Network Model to Predict Alzheimer’s Disease Applying Weighted Loss Function
Mehedi Masud, Abdulqader M. Almars, Mahmoud Rokaya, et al.
Deleted Journal (2024) Vol. 3, Iss. 4
Closed Access | Times Cited: 9
An Interpretable PyCaret Approach for Alzheimer's Disease Prediction
A. P., R. Gunasundari
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 6
Glucose Fluctuation Inhibits Nrf2 Signaling Pathway in Hippocampal Tissues and Exacerbates Cognitive Impairment in Streptozotocin-Induced Diabetic Rats
Haiyan Chi, Yujing Sun, Peng Lin, et al.
Journal of Diabetes Research (2024) Vol. 2024, pp. 1-14
Open Access | Times Cited: 5
Comparative Evaluation of Feature Selection Techniques and Machine Learning Algorithms for Alzheimer's Disease Staging
L Gayathri, Muralidhara BL, Bulla Rajesh
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 2
Open Access
Ensemble Machine Learning-Based Approach to Predict Cervical Cancer with Hyperparameter Tuning and Model Explainability
Khandaker Mohammad Mohi Uddin, M. M. H. Bhuiyan, Maarouf Saad, et al.
Deleted Journal (2025)
Closed Access
AlzONet: a deep learning optimized framework for multiclass Alzheimer’s disease diagnosis using MRI brain imaging
Hiba A. Alahmed, Ghaida A. Al–Suhail
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Evaluation of Machine Learning Models for the Prediction of Alzheimer's: In Search of the Best Performance
Michael Cabanillas-Carbonell, Joselyn Zapata-Paulini
Brain Behavior & Immunity - Health (2025) Vol. 44, pp. 100957-100957
Open Access
Efficient Light Gradient Boosting Machine (LGBM) Framework for Early-Stage Diagnosis of Alzheimer’s Disease
R. Roopalakshmi, S. Nagendran, R Sreelatha
Lecture notes in electrical engineering (2025), pp. 405-415
Closed Access
Early PCOS Detection: A Comparative Analysis of Traditional and Ensemble Machine Learning Models With Advanced Feature Selection
Khandaker Mohammad Mohi Uddin, M. M. H. Bhuiyan, Md. Mahbubur Rahman, et al.
Engineering Reports (2025) Vol. 7, Iss. 2
Open Access
Machine learning to detect Alzheimer's disease with data on drugs and diagnoses
Johanna Wallensten, Caroline Wachtler, Nenad Bogdanović, et al.
The Journal of Prevention of Alzheimer s Disease (2025), pp. 100115-100115
Open Access
Early detection and classification of Alzheimer’s disease through data fusion of MRI and DTI images using the YOLOv11 neural network
Wided Hechkel, Abdelhamid Helali
Frontiers in Neuroscience (2025) Vol. 19
Open Access
Advancements in Neurodegenerative Disease Diagnosis and Prediction: A Machine Learning Approach
Soham Kumar Modi, Sanjay Singla, Pranav Modi, et al.
Lecture notes in networks and systems (2025), pp. 257-272
Closed Access
Machine Learning Techniques for Predicting Ovarian Cancer in its Early Stages Using Biomarkers
Mir Jafikul Alam, Jannat-E Anawar, Khandaker Mohammad Mohi Uddin, et al.
(2024), pp. 1257-1262
Closed Access | Times Cited: 3
Alzheimer’s disease detection and stage identification from magnetic resonance brain images using vision transformer
Mohammad H. Alshayeji
Machine Learning Science and Technology (2024) Vol. 5, Iss. 3, pp. 035011-035011
Open Access | Times Cited: 2
Development of a robust parallel and multi-composite machine learning model for improved diagnosis of Alzheimer's disease: correlation with dementia-associated drug usage and AT(N) protein biomarkers
Afreen Khan, Swaleha Zubair, Mohammed Shuaib, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 2
Identification of fluoroquinolone-resistant Mycobacterium tuberculosis through high-level data fusion of Raman and laser-induced breakdown spectroscopy
Gookseon Jeon, Soogeun Kim, Young Jin Kim, et al.
Analytical Methods (2024) Vol. 16, Iss. 37, pp. 6349-6355
Closed Access | Times Cited: 1
Cognitive States Classification Analysis
Virginia Valcheva, Olga Georgieva
WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS (2024) Vol. 21, pp. 409-418
Open Access | Times Cited: 1
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
A systematic review on recent methods on deep learning for automatic detection of alzheimer’s disease
Radhakrishna Chamakuri, Hyma Janapana
Medicine in Novel Technology and Devices (2024), pp. 100343-100343
Open Access | Times Cited: 1
Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer’s Disease Diagnosis from MRI Scans
M.J. Khatun, Md. Manowarul Islam, Habibur Rahman Rifat, et al.
(2023), pp. 1-6
Open Access | Times Cited: 3
A Novel Approach for Premature Detection of Alzheimer’s Disease Using Convolutional Neural Network in Deep Learning Technique
A. M. Anusha Bamini, R. Chitra, D. Brindha, et al.
Wireless Personal Communications (2024) Vol. 135, Iss. 2, pp. 639-654
Closed Access
Classification of Alzheimer's disease using Ricci flow-based spherical parameterization and machine learning techniques
Masoumeh Khodaei, Behroz Bidabad, Mohammad Ebrahim Shiri, et al.
Signal Image and Video Processing (2024) Vol. 18, Iss. 10, pp. 6529-6545
Closed Access
Forecasting alzheimer's disease in its early stages with the use of machine learning algorithms
M. Shafiya Banu, Harish Prakash
Global Journal of Engineering and Technology Advances (2024) Vol. 20, Iss. 1, pp. 231-241
Open Access
Alzheimer’s disease multiclass detection through deep learning models and post-processing heuristics
Rani Ghassan Al Rahbani, Anastasia Ioannou, Tao Wang
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access
Machine Learning Based Alzheimer’s Disease Detection: A Comprehensive Approach
A. Periya Nayaki, A. K. Vidyabharathi, S. Krishnaveni, et al.
IFIP advances in information and communication technology (2024), pp. 209-225
Closed Access
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