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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:

XGBoost-SHAP-based interpretable diagnostic framework for alzheimer’s disease
Fuliang Yi, Hui Yang, Durong Chen, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
Vimbi Viswan, Noushath Shaffi, Mufti Mahmud
Brain Informatics (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 41
A Comparison of Machine Learning-Based Approaches in Estimating Surface PM2.5 Concentrations Focusing on Artificial Neural Networks and High Pollution Events
Su-Huai Wei, Kyle Shores, Yangyang Xu
Atmosphere (2025) Vol. 16, Iss. 1, pp. 48-48
Open Access | Times Cited: 2
Recent advancements and applications of deep learning in heart failure: Α systematic review
Georgios Petmezas, Vasileios E. Papageorgiou, Vasileios Vassilikos, et al.
Computers in Biology and Medicine (2024) Vol. 176, pp. 108557-108557
Closed Access | Times Cited: 12
Exploring the Association Between Caregiving Activities and Neuropsychological Disorders
Usharani Bhimavarapu
Advances in psychology, mental health, and behavioral studies (APMHBS) book series (2025), pp. 433-458
Closed Access
Predicting the Risk of HIV Infection and Sexually Transmitted Diseases Among Men Who Have Sex With Men: Cross-Sectional Study Using Multiple Machine Learning Approaches
Bing Lin, Jiaxiu Liu, K. Li, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e59101-e59101
Open Access
Explainable Artificial Intelligence in Neuroimaging of Alzheimer’s Disease
Mahdieh Taiyeb Khosroshahi, Soroush Morsali, Sohrab Gharakhanlou, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 612-612
Open Access
A comprehensive interpretable machine learning framework for mild cognitive impairment and Alzheimer’s disease diagnosis
Maria Eleftheria Vlontzou, Μαρία Αθανασίου, Kalliopi Dalakleidi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence in Temporomandibular Joint Disorders: An Umbrella Review
Vini Mehta, Snehasish Tripathy, Toufiq Noor, et al.
Clinical and Experimental Dental Research (2025) Vol. 11, Iss. 1
Open Access
Development of a machine learning-based predictive model for maxillary sinus cysts and exploration of clustering patterns
Haoran Yang, Yuxiang Chen, Anna Zhao, et al.
Head & Face Medicine (2025) Vol. 21, Iss. 1
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
A logistic regression model to predict long-term survival for borderline resectable pancreatic cancer patients with upfront surgery
Jincan Huang, Shaocheng Lyu, Bing Pan, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
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
A Multidimensional Journey Through Neuroimaging and Advanced Machine Learning for Alzheimer’s Disease Diagnosis
Hardeep Kaur, Anil Kumar, Varinder Kaur Attri
Lecture notes in electrical engineering (2025), pp. 447-464
Closed Access
A novel integrative multimodal classifier to enhance the diagnosis of Parkinson’s disease
Xiaoyan Zhou, Luca Parisi, Wentao Huang, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Comparison of 46 Cytokines in Peripheral Blood Between Patients with Papillary Thyroid Cancer and Healthy Individuals with AI-Driven Analysis to Distinguish Between the Two Groups
Kyung-Jin Bae, Jeoung Won Bae, Ae-Chin Oh, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 791-791
Open Access
Machine learning in Alzheimer’s disease drug discovery and target identification
Chaofan Geng, Zhibin Wang, Yi Tang
Ageing Research Reviews (2023) Vol. 93, pp. 102172-102172
Closed Access | Times Cited: 9
Prediction of neurologic outcome after out-of-hospital cardiac arrest: An interpretable approach with machine learning
Araz Rawshani, Fredrik Hessulf, John Deminger, et al.
Resuscitation (2024) Vol. 202, pp. 110359-110359
Closed Access | Times Cited: 3
Assessing the Interpretability of Machine Learning Models in Early Detection of Alzheimer's Disease
Karim Haddada, Mohamed Ibn Khedher, Olfa Jemai, et al.
(2024), pp. 1-6
Open Access | Times Cited: 2
Unraveling pathogenesis, biomarkers and potential therapeutic agents for endometriosis associated with disulfidptosis based on bioinformatics analysis, machine learning and experiment validation
Xiaoxuan Zhao, Yang Zhao, Yuanyuan Zhang, et al.
Journal of Biological Engineering (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 2
Exploring metabolic anomalies in COVID-19 and post-COVID-19: a machine learning approach with explainable artificial intelligence
Juan José Oropeza-Valdez, Cristian Padrón-Manrique, Aarón Vázquez-Jiménez, et al.
Frontiers in Molecular Biosciences (2024) Vol. 11
Open Access | Times Cited: 2
Predicting the Conversion from Mild Cognitive Impairment to Alzheimer’s Disease Using an Explainable AI Approach
Gerasimos Grammenos, Aristidis G. Vrahatis, Panagiotis Vlamos, et al.
Information (2024) Vol. 15, Iss. 5, pp. 249-249
Open Access | Times Cited: 1
Assessing and recovering Alzheimer’s disease: a comparative analysis of standard neuropsychological approaches and virtual reality interventions with the use of digital storytelling
Fabrizio Stasolla, Mariacarla Di Gioia, Irene Messina, et al.
Frontiers in Psychology (2024) Vol. 15
Open Access | Times Cited: 1
Investigating the impact of extreme weather events and related indicators on cardiometabolic multimorbidity
Di Wu, Yu Shi, Chenchen Wang, et al.
Archives of Public Health (2024) Vol. 82, Iss. 1
Open Access | Times Cited: 1
Exploring Algorithmic Explainability: Generating Explainable AI Insights for Personalized Clinical Decision Support Focused on Cannabis Intoxication in Young Adults
Tongze Zhang, Tammy Chung, Anind K. Dey, et al.
(2024), pp. 01-15
Closed Access | Times Cited: 1
Explainable Machine Learning Models for Brain Diseases: Insights from a Systematic Review
Mirko Jerber Rodríguez Mallma, Luis Zuloaga-Rotta, Rubén Borja-Rosales, et al.
Neurology International (2024) Vol. 16, Iss. 6, pp. 1285-1307
Open Access | Times Cited: 1
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