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:

Role of artificial intelligence and machine learning in the diagnosis of cerebrovascular disease
Kevin Gilotra, Sujith Swarna, Racheed Mani, et al.
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 9

Showing 9 citing articles:

Advances in Neuroimaging and Deep Learning for Emotion Detection: A Systematic Review of Cognitive Neuroscience and Algorithmic Innovations
Constantinos Halkiopoulos, Evgenia Gkintoni, Anthimos Aroutzidis, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 456-456
Open Access | Times Cited: 4

A retrospective evaluation of the potential of ChatGPT in the accurate diagnosis of acute stroke
Beyza Nur Kuzan, İsmail Meşe, Servan Yaşar, et al.
Diagnostic and Interventional Radiology (2024)
Open Access | Times Cited: 5

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

The novel imaging methods in diagnosis and assessment of cerebrovascular diseases: an overview
Fei Liu, Ying Yao, Bingcheng Zhu, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 3

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

Artificial intelligence in emergency neuroradiology: Current applications and perspectives
Bo Gong, Farzad Khalvati, Birgit Ertl‐Wagner, et al.
Diagnostic and Interventional Imaging (2024)
Open Access | Times Cited: 2

Machine learning for clinical outcome prediction in cerebrovascular and endovascular neurosurgery: systematic review and meta-analysis
Haydn Hoffman, Jason J Sims, Violiza Inoa‐Acosta, et al.
Journal of NeuroInterventional Surgery (2024), pp. jnis-021759
Closed Access | Times Cited: 1

Early stroke behavior detection based on improved video masked autoencoders for potential patients
Meng Wang, Guanci Yang, Kexin Luo, et al.
Complex & Intelligent Systems (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 1

RGX Ensemble Model for Advanced Prediction of Mortality Outcomes in Stroke Patients
Jing Fang, Baoying Song, Lingli Li, et al.
BME Frontiers (2024) Vol. 5
Closed Access

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