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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 in Neuroradiology: A Review of Current Topics and Competition Challenges
Daniel T. Wagner, Luke Tilmans, Kevin A. Peng, et al.
Diagnostics (2023) Vol. 13, Iss. 16, pp. 2670-2670
Open Access | Times Cited: 11

Showing 11 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: 6
Assessing the Emergence and Evolution of Artificial Intelligence and Machine Learning Research in Neuroradiology
Alexandre Boutet, Samuel S. Haile, Andrew Yang, et al.
American Journal of Neuroradiology (2024) Vol. 45, Iss. 9, pp. 1269-1275
Closed Access | Times Cited: 7
Evaluation of Siemens Healthineers’ StrokeSegApp for automated diffusion and perfusion lesion segmentation in patients with ischemic stroke
Lynnet-Samuel J. Teichmann, Ahmed A. Khalil, Kersten Villringer, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
Optimizing Stroke Classification with Pre-Trained Deep Learning Models
Serra Aksoy, Pınar Demircioğlu, İsmail Böğrekçi
Journal of Vascular Diseases (2024) Vol. 3, Iss. 4, pp. 480-494
Open Access | Times Cited: 1
A Siamese U-Transformer for change detection on MRI brain for multiple sclerosis, a model development and external validation study.
Brendan S. Kelly, Prateek Mathur, Ronan P. Killeen, et al.
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Leveraging Virtual Containers for High-Powered, Collaborative AI Research in Radiology
Lucas Aronson, John Garrett, Andrew L. Wentland
Journal of Computer Assisted Tomography (2024)
Closed Access | Times Cited: 1
Detection of Intracranial Hemorrhage for Trauma Patients
Antoine Sanner, Nils F. Grauhan, Mathias Meyer, et al.
Lecture notes in computer science (2024), pp. 1-14
Closed Access | Times Cited: 1
The Future of Academic Neuroradiology: Challenges, Opportunities, and Way Forward
Ajay Malhotra
American Journal of Neuroradiology (2024) Vol. 45, Iss. 12, pp. 1834-1837
Closed Access | Times Cited: 1
The montage method improves the classification of suspected acute ischemic stroke using the convolution neural network and brain MRI
Daisuke Oura, Masayuki Gekka, Hiroyuki Sugimori
Radiological Physics and Technology (2023) Vol. 17, Iss. 1, pp. 297-305
Closed Access | Times Cited: 2
The Influence of the Novel Computer-Aided Triage System Based on Artificial Intelligence on Endovascular Therapy in Patients with Large Vascular Occlusions: A Meta-Analysis
Wenmiao Luo, Yonggang Xu, Chao Liu, et al.
World Neurosurgery (2023) Vol. 182, pp. 200-207.e2
Closed Access | Times Cited: 1
Artificial Intelligence and Machine Learning in Diagnostics and Treatment Planning
Ankur Tak
Journal of Artificial Intelligence & Cloud Computing (2023), pp. 1-6
Open Access
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