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:

An explainable machine learning approach for Alzheimer’s disease classification
Abbas Saad Alatrany, Wasiq Khan, Abir Hussain, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

Unlocking the Potential of EEG in Alzheimer's Disease Research: Current Status and Pathways to Precision Detection
Faisal Akbar, Imran Taj, Syed Muhammad Usman, et al.
Brain Research Bulletin (2025), pp. 111281-111281
Open Access

Evaluating fairness of machine learning prediction of prolonged wait times in Emergency Department with Interpretable eXtreme gradient boosting
Hao Wang, Nethra Sambamoorthi, Nathan R. Hoot, et al.
PLOS Digital Health (2025) Vol. 4, Iss. 3, pp. e0000751-e0000751
Open Access

Advancing Alzheimer's Therapy: Computational Strategies and Treatment Innovations
Jibon Kumar Paul, Abbeha Malik, Mahir Azmal, et al.
IBRO Neuroscience Reports (2025) Vol. 18, pp. 270-282
Open Access

Joint ensemble learning-based risk prediction of Alzheimer's disease among mild cognitive impairment patients
Tianyuan Guan, Lei Shang, Peng Yang, et al.
The Journal of Prevention of Alzheimer s Disease (2025), pp. 100083-100083
Open Access

Microbial signatures and therapeutic strategies in neurodegenerative diseases
Mlaak Rob, Mahmoud Yousef, Arun Prasath Lakshmanan, et al.
Biomedicine & Pharmacotherapy (2025) Vol. 184, pp. 117905-117905
Open Access

Cognitive performance classification of older patients using machine learning and electronic medical records
M. Richter, Ewelina Sobotnicka, Adam Bednorz
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Use of artificial intelligence in neurological disorders diagnosis: A scientometric study
Alaa Tarazi, Ahmad Aburrub, Mohammad Hijah
World Journal of Methodology (2025) Vol. 15, Iss. 3
Closed Access

Integrated feature selection and ensemble learning for heart disease detection: a 2-tier approach with ALAN and ET-ABDF machine learning model
Aruna Mandula, Baby Shalini Vijaya Kumar
International Journal of Information Technology (2024) Vol. 16, Iss. 7, pp. 4489-4503
Closed Access | Times Cited: 2

FGI-CogViT: Fuzzy Granule-based Interpretable Cognitive Vision Transformer for Early Detection of Alzheimer’s Disease using MRI Scan Images
Anima Pramanik, Sudip K. Sarker, Sobhan Sarkar, et al.
Information Systems Frontiers (2024)
Closed Access | Times Cited: 1

AlzGenPred - CatBoost-based gene classifier for predicting Alzheimer’s disease using high-throughput sequencing data
Rohit Shukla, Tiratha Raj Singh
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Dementia prediction with multimodal clinical and imaging data
Nana Nyarko Brenya Appiah Kubi, Sajid Nazir
International Journal of Information Technology (2024)
Open Access | Times Cited: 1

Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning
Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, et al.
Diagnostics (2024) Vol. 14, Iss. 24, pp. 2770-2770
Open Access | Times Cited: 1

Explainable machine learning on clinical features to predict and differentiate Alzheimer's progression by sex: Toward a clinician-tailored web interface
Fabrizio d’Amore, Marco Moscatelli, Antonio Malvaso, et al.
Journal of the Neurological Sciences (2024) Vol. 468, pp. 123361-123361
Open Access | Times Cited: 1

Driven PCTBagging: Seeking Greater Discriminating Capacity for the Same Level of Interpretability
Jesús M. Pérez, Olatz Arbelaitz, Javier Muguerza
Lecture notes in computer science (2024), pp. 152-161
Closed Access

Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective
Ningsheng Zhao, Jia Yuan Yu, Krzysztof Dzięciołowski, et al.
Lecture notes in computer science (2024), pp. 29-48
Closed Access

Correcting Biases of Shapley Value Attributions for Informative Machine Learning Model Explanations
Ningsheng Zhao, Jia Yuan Yu, Trang Bui, et al.
(2024), pp. 3331-3340
Closed Access

Alzheimer’s disease detection through wavelet-based shifted elliptical local binary pattern
Neha Garg, Mahipal Singh Choudhry, Rajesh M. Bodade
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107067-107067
Closed Access

Alzheimer's Disease Prediction using Advanced Predictive Intelligence Model
Ayush Panda, Amrit Suman, Nilamadhab Mishra, et al.
(2024), pp. 1-7
Closed Access

Unveiling Alzheimer's
S. H. Annie Silviya, T. Sunitha, C. M. Hilda Jerlin, et al.
Advances in bioinformatics and biomedical engineering book series (2024), pp. 281-312
Closed Access

A novel light GBM framework combined with gain optimization for predicting dementia severity of Alzheimer’s disease
R. Roopalakshmi, R Sreelatha
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access

Dementia Deterioration Prediction Using Machine Learning
Layla Dawood Almardoud, Hissam Tawfik, Sohaib Majzoub
(2024), pp. 54-59
Closed Access

Optimizing Machine Learning Models for Accessible Early Cognitive Impairment Prediction: A Novel Cost-effective Model Selection Algorithm
Abduelhakem G. Shubar, Kannan Ramakrishnan, Chin-Kuan Ho
IEEE Access (2024) Vol. 12, pp. 180792-180814
Open Access

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