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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:

Artificial Intelligence and Machine Learning in the Diagnosis and Management of Stroke: A Narrative Review of United States Food and Drug Administration-Approved Technologies
Anirudha S. Chandrabhatla, Elyse A. Kuo, Jennifer D. Sokolowski, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 11, pp. 3755-3755
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations
Pouyan Esmaeilzadeh
Artificial Intelligence in Medicine (2024) Vol. 151, pp. 102861-102861
Closed Access | Times Cited: 68
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: 47
The evolution of neuromodulation for chronic stroke: From neuroplasticity mechanisms to brain-computer interfaces
Brian Fabian Saway, Charles Palmer, Christopher Hughes, et al.
Neurotherapeutics (2024) Vol. 21, Iss. 3, pp. e00337-e00337
Open Access | Times Cited: 9
Applications of machine learning and deep learning in medical diagnosis
Shailendra Chouhan, Hemant Khambete, Sanjay Jain
Elsevier eBooks (2025), pp. 47-82
Closed Access | Times Cited: 1
Transforming diagnosis through artificial intelligence
Luciana D’Adderio, David W. Bates
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Workflow improvements from automated large vessel occlusion detection algorithms are dependent on care team engagement
E. Ebirim, Ngoc Mai Le, Joseph N Samaha, et al.
Journal of NeuroInterventional Surgery (2025), pp. jnis-022896
Closed Access
Digital health in neurology: Advancements, applications, and impact
Mohamed Taha, Sachin Kedar
Elsevier eBooks (2025), pp. 217-229
Closed Access
Prognostic accuracy of the Stroke Rehabilitation Assessment of Movement (STREAM) scores on admission for walking independence in stroke patients at discharge and one-month follow-up
Thamonwan Kirdthongkham, Maria Justine, Akkradate Siriphorn
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0319682-e0319682
Open Access
Artificial intelligence in stroke rehabilitation: From acute care to long-term recovery
Spandana Rajendra Kopalli, Madhu Shukla, B Jayaprakash, et al.
Neuroscience (2025)
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
Implications of Artificial Intelligence in Stroke Intervention and Care
Jyoti Yadav, Aditya More, Bijoyani Ghosh, et al.
iRadiology (2025)
Open Access
Sequential Brain CT Image Captioning Based on the Pre-Trained Classifiers and a Language Model
Jin-Woo Kong, Byoung-Doo Oh, Chulho Kim, et al.
Applied Sciences (2024) Vol. 14, Iss. 3, pp. 1193-1193
Open Access | Times Cited: 2
The Role of Artificial Intelligence-Powered Imaging in Cerebrovascular Accident Detection
Natasha Hastings, Dany Samuel, Aariz N Ansari, et al.
Cureus (2024)
Open Access | Times Cited: 2
From data to decisions: AI and functional connectivity for diagnosis, prognosis, and recovery prediction in stroke
Alessia Cacciotti, Chiara Pappalettera, Francesca Miraglia, et al.
GeroScience (2024)
Closed Access | Times Cited: 2
Deep Learning Enhanced Internet of Medical Things to Analyze Brain Computed Tomography Images of Stroke Patients
Батырхан Омаров, Azhar Tursynova, Meruert Uzak
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 4
AI in Acute Cerebrovascular Disorders: What can the Radiologist Contribute?
Yi Zhang, Jonathan Joshi, Mohiuddin Hadi
Seminars in Roentgenology (2024) Vol. 59, Iss. 2, pp. 137-147
Closed Access | Times Cited: 1
Revolutionizing Healthcare: Qure.AI's Innovations in Medical Diagnosis and Treatment
Esteban Zavaleta‐Monestel, Ricardo Quesada-Villaseñor, Sebastián Arguedas‐Chacón, et al.
Cureus (2024)
Open Access | Times Cited: 1
Deep Learning De-Noising Improves CT Perfusion Image Quality in the Setting of Lower Contrast Dosing: A Feasibility Study
Mahmud Mossa‐Basha, Chengcheng Zhu, Tanya Pandhi, et al.
American Journal of Neuroradiology (2024)
Closed Access | Times Cited: 1
Leveraging multivariate analysis and adjusted mutual information to improve stroke prediction and interpretability
Moutasem S. Aboonq, Saeed Awad M. Alqahtani
Neurosciences (2024) Vol. 29, Iss. 3, pp. 190-196
Open Access | Times Cited: 1
Clinical Impact of an AI Decision Support System for Detection of Intracranial Hemorrhage in CT Scans
Don H. Bark, J. P. Basu, Dimitrios Toumpanakis, et al.
Neurotrauma Reports (2024) Vol. 5, Iss. 1, pp. 1009-1015
Open Access | Times Cited: 1
Predicting Mechanical Thrombectomy Outcome and Time Limit through ADC Value Analysis: A Comprehensive Clinical and Simulation Study Using Machine Learning
Daisuke Oura, Soichiro Takamiya, Riku Ihara, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2138-2138
Open Access | Times Cited: 2
Advances in Pharmacologic and Physical Therapy for Post-stroke Myasthenia Gravis
Yang Xiaoling, Zucheng Han
Journal of Social Science and Humanities (2024)
Open Access
Artificial Intelligence for the Colorectal Surgeon in 2024 – A Narrative Review of Prevalence, Policies, and (needed) Protections
Kurt S. Schultz, Michelle Hughes, Warqaa M. Akram, et al.
Seminars in Colon and Rectal Surgery (2024) Vol. 35, Iss. 3, pp. 101037-101037
Closed Access
Novel ways of applying artificial intelligence in emergency medicine - literature review
Jakub Fiegler-Rudol, Magdalena Kronenberg, Tomasz Męcik-Kronenberg
Emergency Medical Service (2024) Vol. 11, Iss. 2, pp. 132-137
Closed Access
An ensemble convolutional neural network model for brain stroke prediction using brain computed tomography images
Jannatul Ferdous, Rifat Shahriyar
Healthcare Analytics (2024), pp. 100368-100368
Open Access
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