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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:

Performance of Machine Learning for Tissue Outcome Prediction in Acute Ischemic Stroke: A Systematic Review and Meta-Analysis
Xinrui Wang, Yi‐Ming Fan, Nan Zhang, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 12

Showing 12 citing articles:

Prognosis of ischemic stroke predicted by machine learning based on multi-modal MRI radiomics
Huan Yu, Zhenwei Wang, Yiqing Sun, et al.
Frontiers in Psychiatry (2023) Vol. 13
Open Access | Times Cited: 23
Systematic Review of Machine Learning Applied to the Secondary Prevention of Ischemic Stroke
Meng Chen, Dongbao Qian, Yixuan Wang, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Closed Access | Times Cited: 5
Automatic prediction of stroke treatment outcomes: latest advances and perspectives
Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi
Biomedical Engineering Letters (2025)
Open Access
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
Stroke Lesion Segmentation and Deep Learning: A Comprehensive Review
Mishaim Malik, Benjamin Chong, Justin Fernandez, et al.
Bioengineering (2024) Vol. 11, Iss. 1, pp. 86-86
Open Access | Times Cited: 3
Challenges and Potential of Artificial Intelligence in Neuroradiology
Anthony Winder, Emma A. M. Stanley, Jens Fiehler, et al.
Clinical Neuroradiology (2024) Vol. 34, Iss. 2, pp. 293-305
Closed Access | Times Cited: 3
Prediction of tissue outcome in acute ischemic stroke based on single-phase CT angiography at admission
Frosti Pálsson, Nils D. Forkert, Lukas Meyer, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 3
Machine learning prediction of motor function in chronic stroke patients: a systematic review and meta-analysis
Qinglin Li, Lei Chi, Weiying Zhao, et al.
Frontiers in Neurology (2023) Vol. 14
Open Access | Times Cited: 6
Big Data in Stroke: How to Use Big Data to Make the Next Management Decision
Brian Liu, Yuan Luo, Andrew M. Naidech
Neurotherapeutics (2023) Vol. 20, Iss. 3, pp. 744-757
Closed Access | Times Cited: 5
A Review on Image Classification Techniques for MRI Brain Stroke Lesion
Norhashimah Mohd Saad, Abdul Rahim Abdullah, Izzatul Husna Azman, et al.
Journal of Advanced Research in Applied Sciences and Engineering Technology (2024) Vol. 40, Iss. 2, pp. 62-73
Open Access | Times Cited: 1
Performance Metrics, Algorithms, and Applications of Artificial Intelligence in Vascular and Interventional Neurology
Saeed Abdollahifard, Amirmohammad Farrokhi, Ashkan Mowla, et al.
Neurologic Clinics (2024) Vol. 42, Iss. 3, pp. 633-650
Closed Access | Times Cited: 1
Machine learning application in ischemic stroke diagnosis, management, and outcome prediction: a narrative review
Mi‐Yeon Eun, Eun‐Tae Jeon, Jin‐Man Jung
Journal of Medicine and Life Science (2023) Vol. 20, Iss. 4, pp. 141-157
Open Access
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