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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:

An Explainable Machine Learning Pipeline for Stroke Prediction on Imbalanced Data
Christos Kokkotis, Georgios Giarmatzis, Ερασμία Γιαννακού, et al.
Diagnostics (2022) Vol. 12, Iss. 10, pp. 2392-2392
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Integrative Approaches in Acute Ischemic Stroke: From Symptom Recognition to Future Innovations
Vicențiu Săceleanu, Corneliu Toader, Horia Pleș, et al.
Biomedicines (2023) Vol. 11, Iss. 10, pp. 2617-2617
Open Access | Times Cited: 52
Automated Stroke Prediction Using Machine Learning: An Explainable and Exploratory Study With a Web Application for Early Intervention
Krishna Mridha, Sandesh Ghimire, Jungpil Shin, et al.
IEEE Access (2023) Vol. 11, pp. 52288-52308
Open Access | Times Cited: 35
Predictive modelling and identification of key risk factors for stroke using machine learning
Ahmad Hassan, Saima Gulzar Ahmad, Ehsan Ullah Munir, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
A Holistic Approach to Expressing the Burden of Caregivers for Stroke Survivors: A Systematic Review
Eftychia Tziaka, Anna Tsiakiri, Pinelopi Vlotinou, et al.
Healthcare (2024) Vol. 12, Iss. 5, pp. 565-565
Open Access | Times Cited: 11
Enhancing accuracy and interpretability in EEG-based medical decision making using an explainable ensemble learning framework application for stroke prediction
Samar Bouazizi, Hela Ltifi
Decision Support Systems (2023) Vol. 178, pp. 114126-114126
Closed Access | Times Cited: 20
Stroke risk management in carotid atherosclerotic disease: a clinical consensus statement of the ESC Council on Stroke and the ESC Working Group on Aorta and Peripheral Vascular Diseases
Piotr Musiałek, Leo H. Bonati, Richard Bulbulia, et al.
Cardiovascular Research (2023)
Open Access | Times Cited: 19
Exploring Machine Learning for Predicting Cerebral Stroke: A Study in Discovery
Md. Rajib Mia, Salma Khanam, Amira Mahjabeen, et al.
Electronics (2024) Vol. 13, Iss. 4, pp. 686-686
Open Access | Times Cited: 7
Predictive model and risk analysis for peripheral vascular disease in type 2 diabetes mellitus patients using machine learning and shapley additive explanation
Lianhua Liu, Bo Bi, Li Juan Cao, et al.
Frontiers in Endocrinology (2024) Vol. 15
Open Access | Times Cited: 7
Leukoaraiosis as a Predictor of Depression and Cognitive Impairment among Stroke Survivors: A Systematic Review
Eftychia Tziaka, Foteini Christidi, Dimitrios Tsiptsios, et al.
Neurology International (2023) Vol. 15, Iss. 1, pp. 238-272
Open Access | Times Cited: 15
Evaluation of Blood Biomarkers and Parameters for the Prediction of Stroke Survivors’ Functional Outcome upon Discharge Utilizing Explainable Machine Learning
Aimilios Gkantzios, Christos Kokkotis, Dimitrios Tsiptsios, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 532-532
Open Access | Times Cited: 14
Comparing Explainable Machine Learning Approaches With Traditional Statistical Methods for Evaluating Stroke Risk Models: Retrospective Cohort Study
Sermkiat Lolak, John Attia, Gareth J. McKay, et al.
JMIR Cardio (2023) Vol. 7, pp. e47736-e47736
Open Access | Times Cited: 13
Unlocking stroke prediction: Harnessing projection-based statistical feature extraction with ML algorithms
Saad Sahriar, Sanjida Akther, Jannatul Mauya, et al.
Heliyon (2024) Vol. 10, Iss. 5, pp. e27411-e27411
Open Access | Times Cited: 4
Machine learning-based prognostication of mortality in stroke patients
Ahmad A. Abujaber, Ibrahem Albalkhi, Yahia Imam, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e28869-e28869
Open Access | Times Cited: 4
From Admission to Discharge: Predicting National Institutes of Health Stroke Scale Progression in Stroke Patients Using Biomarkers and Explainable Machine Learning
Aimilios Gkantzios, Christos Kokkotis, Dimitrios Tsiptsios, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 9, pp. 1375-1375
Open Access | Times Cited: 10
Novel diversified echo state network for improved accuracy and explainability of EEG-based stroke prediction
Samar Bouazizi, Hela Ltifi
Information Systems (2023) Vol. 120, pp. 102317-102317
Closed Access | Times Cited: 10
Enhancing Brain Disease Diagnosis with XAI: A Review of Recent Studies
Nighat Bibi, Jane Courtney, Kevin McGuinness
ACM Transactions on Computing for Healthcare (2025)
Closed Access
Enhanced Stroke Prediction Through Integrated Classification and Hybrid Sampling Techniques
Guangxi Peng, Jie Liu
Lecture notes in electrical engineering (2025), pp. 858-867
Closed Access
Analyzing the Impact of Data Resampling on Stroke Prediction using Machine Learning
Majid Rahardi, Afrig Aminuddin, Ferian Fauzi Abdulloh, et al.
Engineering Technology & Applied Science Research (2025) Vol. 15, Iss. 2, pp. 20790-20797
Open Access
A novel intelligent healthcare system based on efficient deep learning models for brain stroke prediction
Saeed Mohsen, Ahmed Gomaa
Multimedia Tools and Applications (2025)
Open Access
A Hybrid Deep Learning Approach for Improved Detection and Prediction of Brain Stroke
Gayatri Thakre, Rohini Raut, Chetan Puri, et al.
Applied Sciences (2025) Vol. 15, Iss. 9, pp. 4639-4639
Open Access
Unveiling Explainable AI in Healthcare: Current Trends, Challenges, and Future Directions
A. Noor, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, et al.
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery (2025) Vol. 15, Iss. 2
Open Access
Balancing cerebrovascular disease data with integrated ensemble learning and SVM-SMOTE
R. Nithya, T. Kokilavani, T. Lucia Agnes Beena
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access | Times Cited: 3
Chronic Diseases Prediction Using Machine Learning With Data Preprocessing Handling: A Critical Review
Nur Ghaniaviyanto Ramadhan, Adiwijaya Adiwijaya, Warih Maharani, et al.
IEEE Access (2024) Vol. 12, pp. 80698-80730
Open Access | Times Cited: 3
Explainable AI in Healthcare: Systematic Review of Clinical Decision Support Systems
Noor A. Aziz, Awais Manzoor, Muhammad Deedahwar Mazhar Qureshi, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 3
Exploring the Impact of Cerebral Microbleeds on Stroke Management
Anastasia Sousanidou, Dimitrios Tsiptsios, Foteini Christidi, et al.
Neurology International (2023) Vol. 15, Iss. 1, pp. 188-224
Open Access | Times Cited: 8
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