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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:

Explainable Artificial Intelligence Model for Stroke Prediction Using EEG Signal
Mohammed Saidul Islam, Iqram Hussain, Md Mezbaur Rahman, et al.
Sensors (2022) Vol. 22, Iss. 24, pp. 9859-9859
Open Access | Times Cited: 99

Showing 26-50 of 99 citing articles:

Artificial Intelligence in Predicting Ocular Hypertension After Descemet Membrane Endothelial Keratoplasty
Min Seok Kim, Heesuk Kim, Hyung Keun Lee, et al.
Investigative Ophthalmology & Visual Science (2025) Vol. 66, Iss. 1, pp. 61-61
Open Access
AI-Enhanced Depression and Anxiety Detection: Integrating EEG Systems, Performance-Cost Trade-Offs, and Optimization Algorithms

(2025) Vol. 1, Iss. 1, pp. 59-69
Closed Access
Exploring Stroke Factors Using Approximate Inverse Model Explanations (AIME): A Method for Extracting Relevant Factors from a Stroke Dataset
Takafumi Nakanishi
Smart innovation, systems and technologies (2025), pp. 157-167
Closed Access
Predicting Stroke Risk Based on an Optimized Machine Learning Model
Felix Liu
ITM Web of Conferences (2025) Vol. 73, pp. 02017-02017
Open Access
Explaining electroencephalogram channel and subband sensitivity for alcoholism detection
Sandeep B. Sangle, Pramod Kachare, Digambar Puri, et al.
Computers in Biology and Medicine (2025) Vol. 188, pp. 109826-109826
Open Access
A Complexity Theory-Based Novel AI Algorithm for Exploring Emotions and Affections by Utilizing Artificial Neurotransmitters
Gerardo Iovane, Raffaella Di Pasquale
Electronics (2025) Vol. 14, Iss. 6, pp. 1093-1093
Open Access
Envisioning Explainable AI
K. Chakrapani, Mohamed Iqubal Safa, Sruthi M. Krishna Moorthy, et al.
(2025), pp. 563-591
Closed Access
Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach
Gizachew Mulu Setegn, Belayneh Endalamaw Dejene
BMC Infectious Diseases (2025) Vol. 25, Iss. 1
Open Access
EEG Signal Analysis Using AI Model to Track Brain Activity
G. Ganesan, S. Poonkuntran
Smart innovation, systems and technologies (2025), pp. 705-717
Closed Access
Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images
Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Comprehensive analysis of stroke epidemiology in Vietnam: Insights from GBD 1990–2019 and RES-Q 2017–2023
Minh C. Tran, Lara Prisco, Phuong Pham, et al.
Global Epidemiology (2025), pp. 100199-100199
Open Access
Comparison of Bioelectric Signals and Their Applications in Artificial Intelligence: A Review
Juarez-Castro Flavio Alfonso, Toledo-Rios Juan Salvador, Marco Antonio Aceves-Fernández, et al.
Computers (2025) Vol. 14, Iss. 4, pp. 145-145
Open Access
A machine learning and explainable artificial intelligence approach for predicting the efficacy of hematopoietic stem cell transplant in pediatric patients
Krishnaraj Chadaga, Srikanth Prabhu, Niranjana Sampathila, et al.
Healthcare Analytics (2023) Vol. 3, pp. 100170-100170
Open Access | Times Cited: 11
EEG-Based Classification of Epileptic Seizure Types Using Deep Network Model
Hend Alshaya, Muhammad Hussain
Mathematics (2023) Vol. 11, Iss. 10, pp. 2286-2286
Open Access | Times Cited: 11
Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence
S Susmita, Krishnaraj Chadaga, Niranjana Sampathila, et al.
Information (2023) Vol. 14, Iss. 8, pp. 435-435
Open Access | Times Cited: 11
Knowledge structure and global trends of machine learning in stroke over the past decade: A scientometric analysis
Mingfen Wu, Kefu Yu, Zhigang Zhao, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24230-e24230
Open Access | Times Cited: 4
A Comparative Study and Systematic Analysis of XAI Models and their Applications in Healthcare
Jyoti Gupta, K. R. Seeja
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Improving the explainability of CNN-LSTM-based flood prediction with integrating SHAP technique
Hao Huang, Zhaoli Wang, Yaoxing Liao, et al.
Ecological Informatics (2024) Vol. 84, pp. 102904-102904
Open Access | Times Cited: 4
Eeg Microstates and Balance Parameters for Stroke Discrimination: A Machine Learning Approach
Eloise de Oliveira Lima, José Maurício Ramos de Souza Neto, Francisco Enrique Vicente Castro, et al.
Brain Topography (2025) Vol. 38, Iss. 2
Closed Access
Explainable AI for Bipolar Disorder Diagnosis Using Hjorth Parameters
Mehrnaz Saghab Torbati, Ahmad Zandbagleh, Mohammad Reza Daliri, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 316-316
Open Access
Digital twin and sensor networks for healthcare monitoring frameworks
Amirhossein Danesh, Shaker El–Sappagh, Tamer Abuhmed
Elsevier eBooks (2025), pp. 217-261
Closed Access
Clinical applications of artificial intelligence and machine learning in neurocardiology: a comprehensive review
Jade Basem, Racheed Mani, Scott Sun, et al.
Frontiers in Cardiovascular Medicine (2025) Vol. 12
Open 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
EEG-Based Emotion Classification in Financial Trading Using Deep Learning: Effects of Risk Control Measures
Bhaskar Tripathi, Rakesh Kumar Sharma
Sensors (2023) Vol. 23, Iss. 7, pp. 3474-3474
Open Access | Times Cited: 9

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