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:

Identification of early invisible acute ischemic stroke in non-contrast computed tomography using two-stage deep-learning model
Jun Lü, Yiran Zhou, Wenzhi Lv, et al.
Theranostics (2022) Vol. 12, Iss. 12, pp. 5564-5573
Open Access | Times Cited: 12

Showing 12 citing articles:

MSA-YOLOv5: Multi-scale attention-based YOLOv5 for automatic detection of acute ischemic stroke from multi-modality MRI images
Shannan Chen, Jinfeng Duan, Nan Zhang, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107471-107471
Closed Access | Times Cited: 17

Random expert sampling for deep learning segmentation of acute ischemic stroke on non-contrast CT
Sophie Ostmeier, Brian Axelrod, Yongkai Liu, et al.
Journal of NeuroInterventional Surgery (2024), pp. jnis-021283
Closed Access | Times Cited: 4

A novel nomogram based on the patient’s clinical data and CT signs to predict poor outcomes in AIS patients
H. J. Yang, Fangfang Deng, Qian Zhang, et al.
PeerJ (2025) Vol. 13, pp. e18662-e18662
Open Access

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

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: 3

Tumor-to-bone distance and radiomic features on MRI distinguish intramuscular lipomas from well-differentiated liposarcomas
Narumol Sudjai, Palanan Siriwanarangsun, Nittaya Lektrakul, et al.
Journal of Orthopaedic Surgery and Research (2023) Vol. 18, Iss. 1
Open Access | Times Cited: 6

Early Ischemic Stroke Detection Using Deep Learning: A Systematic Literature Review
Karel Tan, Yohanes Amadeo Marvell, Alexander Agung Santoso Gunawan
2020 International Seminar on Application for Technology of Information and Communication (iSemantic) (2023), pp. 7-11
Closed Access | Times Cited: 5

Effective Brain Stroke Prediction with Deep Learning Model by Incorporating YOLO_5 and SSD
Y. Sailaja, Velumurugan Pattani
International Journal of Online and Biomedical Engineering (iJOE) (2023) Vol. 19, Iss. 14, pp. 63-75
Open Access | Times Cited: 4

A Microfluidics-Based Multiplex SERS Immunoassay Device for Analysis of Acute Ischemic Stroke Biomarkers
Mengyue Wang, Huiyu Wan, Yanjiao Wang, et al.
Translational Stroke Research (2023)
Closed Access | Times Cited: 4

Using Neural Networks Algorithm in Ischemic Stroke Diagnosis: A Systematic Review
Suebsarn Ruksakulpiwat, Lalipat Phianhasin, Chitchanok Benjasirisan, et al.
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 2593-2602
Open Access | Times Cited: 2

Segmentation of Infarct Lesions and Prognosis Prediction for Acute Ischemic Stroke using Non-Contrast CT Scans
Xuechun Wang, Yuting Meng, Zhijian Dong, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 258, pp. 108488-108488
Closed Access

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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