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: A Shifting Paradigm in Cardio-Cerebrovascular Medicine
Vida Abedi, SeyedâMostafa Razavi, Ayesha Khan, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 23, pp. 5710-5710
Open Access | Times Cited: 7
Vida Abedi, SeyedâMostafa Razavi, Ayesha Khan, et al.
Journal of Clinical Medicine (2021) Vol. 10, Iss. 23, pp. 5710-5710
Open Access | Times Cited: 7
Showing 7 citing articles:
Advanced detection of coronary artery disease via deep learning analysis of plasma cytokine data
Muhammad Shoaib, Junaid Ahmad, Ghassan Husnain, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Muhammad Shoaib, Junaid Ahmad, Ghassan Husnain, et al.
Frontiers in Cardiovascular Medicine (2024) Vol. 11
Open Access | Times Cited: 2
Machine Learning-Based Prediction of Stroke in Emergency Departments
Vida Abedi, Debdipto Misra, Durgesh Chaudhary, et al.
Therapeutic Advances in Neurological Disorders (2024) Vol. 17
Open Access | Times Cited: 1
Vida Abedi, Debdipto Misra, Durgesh Chaudhary, et al.
Therapeutic Advances in Neurological Disorders (2024) Vol. 17
Open Access | Times Cited: 1
Machine learning-based Cerebral Venous Thrombosis diagnosis with clinical data
Ali Namjoo-Moghadam, Vida Abedi, Venkatesh Avula, et al.
Journal of Stroke and Cerebrovascular Diseases (2024) Vol. 33, Iss. 9, pp. 107848-107848
Closed Access | Times Cited: 1
Ali Namjoo-Moghadam, Vida Abedi, Venkatesh Avula, et al.
Journal of Stroke and Cerebrovascular Diseases (2024) Vol. 33, Iss. 9, pp. 107848-107848
Closed Access | Times Cited: 1
Can ChatGPT make surgical decisions with confidence similar to experienced knee surgeons?
Omar Musbahi, Martine Nurek, Kyriacos Pouris, et al.
The Knee (2024) Vol. 51, pp. 120-129
Open Access | Times Cited: 1
Omar Musbahi, Martine Nurek, Kyriacos Pouris, et al.
The Knee (2024) Vol. 51, pp. 120-129
Open Access | Times Cited: 1
Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion
Daniel Najafali, Thomas Johnstone, Melissa Pergakis, et al.
Journal of Thrombosis and Thrombolysis (2023) Vol. 56, Iss. 1, pp. 12-26
Closed Access | Times Cited: 3
Daniel Najafali, Thomas Johnstone, Melissa Pergakis, et al.
Journal of Thrombosis and Thrombolysis (2023) Vol. 56, Iss. 1, pp. 12-26
Closed Access | Times Cited: 3
Artificial Intelligence in Cardiology: Why So Many Great Promises and Expectations, but Still a Limited Clinical Impact?
Gian Luigi Nicolosi
Journal of Clinical Medicine (2023) Vol. 12, Iss. 7, pp. 2734-2734
Open Access | Times Cited: 2
Gian Luigi Nicolosi
Journal of Clinical Medicine (2023) Vol. 12, Iss. 7, pp. 2734-2734
Open Access | Times Cited: 2
Editorial: Machine Learning in Action: Stroke Diagnosis and Outcome Prediction
Vida Abedi, Yuki I. Kawamura, Jiang Li, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 3
Vida Abedi, Yuki I. Kawamura, Jiang Li, et al.
Frontiers in Neurology (2022) Vol. 13
Open Access | Times Cited: 3
