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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:

Deep Learning–Derived High-Level Neuroimaging Features Predict Clinical Outcomes for Large Vessel Occlusion
Hidehisa Nishi, Naoya Oishi, Akira Ishii, et al.
Stroke (2020) Vol. 51, Iss. 5, pp. 1484-1492
Open Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Machine Learning for Clinical Outcome Prediction
Farah E. Shamout, Tingting Zhu, David A. Clifton
IEEE Reviews in Biomedical Engineering (2020) Vol. 14, pp. 116-126
Open Access | Times Cited: 142
Precision medicine in stroke: towards personalized outcome predictions using artificial intelligence
Anna K. Bonkhoff, Christian Grefkes
Brain (2021) Vol. 145, Iss. 2, pp. 457-475
Open Access | Times Cited: 121
Artificial Intelligence in Acute Ischemic Stroke Subtypes According to Toast Classification: A Comprehensive Narrative Review
Giuseppe Miceli, Maria Grazia Basso, Giuliana Rizzo, et al.
Biomedicines (2023) Vol. 11, Iss. 4, pp. 1138-1138
Open Access | Times Cited: 28
Artificial Intelligence and Deep Learning in Neuroradiology: Exploring the New Frontier
Hussam Kaka, Euan Zhang, Nazir Malik Khan
Canadian Association of Radiologists Journal (2020) Vol. 72, Iss. 1, pp. 35-44
Open Access | Times Cited: 51
Artificial Intelligence for Large-Vessel Occlusion Stroke: A Systematic Review
Nathan A. Shlobin, Ammad A. Baig, Muhammad Waqas, et al.
World Neurosurgery (2021) Vol. 159, pp. 207-220.e1
Open Access | Times Cited: 43
Deep Learning in Ischemic Stroke Imaging Analysis: A Comprehensive Review
Liyuan Cui, Zhiyuan Fan, Yingjian Yang, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-15
Open Access | Times Cited: 33
Artificial Intelligence for Clinical Decision Support in Acute Ischemic Stroke: A Systematic Review
Ela M. Akay, Adam Hilbert, Benjamin Gregory Carlisle, et al.
Stroke (2023) Vol. 54, Iss. 6, pp. 1505-1516
Open Access | Times Cited: 22
Segmentation and Volume Estimation of the Habenula Using Deep Learning in Patients With Depression
Yusuke Kyuragi, Naoya Oishi, Momoko Hatakoshi, et al.
Biological Psychiatry Global Open Science (2024) Vol. 4, Iss. 4, pp. 100314-100314
Open Access | Times Cited: 7
Outcome Prediction Models for Endovascular Treatment of Ischemic Stroke: Systematic Review and External Validation
Femke C.C. Kremers, Esmée Venema, Martijne H.C. Duvekot, et al.
Stroke (2021) Vol. 53, Iss. 3, pp. 825-836
Open Access | Times Cited: 33
Deep learning-based personalised outcome prediction after acute ischaemic stroke
Doo-Young Kim, Kang‐Ho Choi, Jahae Kim, et al.
Journal of Neurology Neurosurgery & Psychiatry (2023) Vol. 94, Iss. 5, pp. 369-378
Closed Access | Times Cited: 16
Development and Validation of a Machine Learning Predictive Model for Cardiac Surgery-Associated Acute Kidney Injury
Qian Li, Hong Lv, Yuye Chen, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 3, pp. 1166-1166
Open Access | Times Cited: 14
Predicting stroke outcome: A case for multimodal deep learning methods with tabular and CT Perfusion data
Balázs Borsos, Corinne G. Allaart, Aart van Halteren
Artificial Intelligence in Medicine (2023) Vol. 147, pp. 102719-102719
Open Access | Times Cited: 14
Deep Learning to Predict Traumatic Brain Injury Outcomes in the Low-Resource Setting
Syed M. Adil, Cyrus Elahi, Dev Patel, et al.
World Neurosurgery (2022) Vol. 164, pp. e8-e16
Open Access | Times Cited: 21
Machine Learning Risk Prediction for Incident Heart Failure in Patients With Atrial Fibrillation
Yasuhiro Hamatani, Hidehisa Nishi, Moritake Iguchi, et al.
JACC Asia (2022) Vol. 2, Iss. 6, pp. 706-716
Open Access | Times Cited: 20
Artificial Intelligence–Based Consumer Health Informatics Application: Scoping Review
Onur Asan, E.H.C. Choi, Xiaomei Wang
Journal of Medical Internet Research (2023) Vol. 25, pp. e47260-e47260
Open Access | Times Cited: 11
Magnetic resonance imaging-based deep learning imaging biomarker for predicting functional outcomes after acute ischemic stroke
Tzu-Hsien Yang, Yingying Su, Chia-Ling Tsai, et al.
European Journal of Radiology (2024) Vol. 174, pp. 111405-111405
Closed Access | Times Cited: 4
Automatic prediction of stroke treatment outcomes: latest advances and perspectives
Zeynel A. Samak, Philip Clatworthy, Majid Mirmehdi
Biomedical Engineering Letters (2025) Vol. 15, Iss. 3, pp. 467-488
Open Access
Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004–2023)
Jing Lou, Xiaofen Yu, Jun Ying, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
A machine learning tool for prediction of vertebral compression fracture following stereotactic body radiation therapy for spinal metastases
Laura Burgess, Matthew Rezkalla, Geoffrey Klein, et al.
Radiotherapy and Oncology (2025), pp. 110912-110912
Closed Access
Interpretable deep learning for the prognosis of long-term functional outcome post-stroke using acute diffusion weighted imaging
Eric Moulton, Romain Valabrègue, Michel Piotin, et al.
Journal of Cerebral Blood Flow & Metabolism (2022) Vol. 43, Iss. 2, pp. 198-209
Open Access | Times Cited: 17
Nomogram to Predict 1-Year Cognitive Decline After Stent Placement for Unruptured Intracranial Aneurysms
Wenqiang Li, Chao Wang, Yuzhao Lu, et al.
iScience (2025) Vol. 28, Iss. 3, pp. 111839-111839
Open Access
Intérêt de l’intelligence artificielle pour la prédiction du pronostic post-AVC
Loïc Legris, Olivier Detante, Benjamin Lemasson
Pratique Neurologique - FMC (2025)
Open Access
A Machine Learning Tool for Prediction of Vertebral Compression Fracture Following Stereotactic Body Radiation Therapy for Spinal Metastases
Laura Burgess, Matthew Rezkalla, G. E. Klein, et al.
(2025)
Closed Access
Deep Learning Applications in Imaging of Acute Ischemic Stroke: A Systematic Review and Narrative Summary
Bin Jiang, Nancy Pham, Eric K. van Staalduinen, et al.
Radiology (2025) Vol. 315, Iss. 1
Closed Access
Pre-thrombectomy prognostic prediction of large-vessel ischemic stroke using machine learning: A systematic review and meta-analysis
Minyan Zeng, Lauren Oakden‐Rayner, Alix Bird, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 15
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