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.

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Showing 7 citing articles:

Prediction of Pituitary Adenoma’s Volumetric Response to Gamma Knife Radiosurgery Using Machine Learning-Supported MRI Radiomics
Herwin Speckter, Marko Radulović, Erwin Lazo, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 9, pp. 2896-2896
Open Access

Application of artificial intelligence to stereotactic radiosurgery for intracranial lesions: detection, segmentation, and outcome prediction
Yen‐Yu Lin, Wan‐Yuo Guo, Chia‐Feng Lu, et al.
Journal of Neuro-Oncology (2023) Vol. 161, Iss. 3, pp. 441-450
Closed Access | Times Cited: 6

Preoperative CT Radiomics Nomogram for Predicting Microvascular Invasion in Stage I Non-Small Cell Lung Cancer
Linhong Deng, Han Zhou Tang, Ying Wei Luo, et al.
Academic Radiology (2023) Vol. 31, Iss. 1, pp. 46-57
Closed Access | Times Cited: 5

The current landscape of machine learning-based radiomics in arteriovenous malformations: a systematic review and radiomics quality score assessment
Audrey Grossen, Alexander R. Evans, Griffin Ernst, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 1

Assessment of gamma knife radiosurgery for unruptured cerebral arterioveneus malformations based on multi-parameter radiomics of MRI
Dezhi Gao, Xiangyu Meng, Hengwei Jin, et al.
Magnetic Resonance Imaging (2022) Vol. 92, pp. 251-259
Open Access | Times Cited: 7

Artificial intelligence-based automatic nidus segmentation of cerebral arteriovenous malformation on time-of-flight magnetic resonance angiography
Mengqi Dong, Sishi Xiang, Tao Hong, et al.
European Journal of Radiology (2024) Vol. 178, pp. 111572-111572
Closed Access

Computational Modeling and AI in Radiation Neuro-Oncology and Radiosurgery
Cheng‐Chia Lee, Huai‐Che Yang, Hsiu‐Mei Wu, et al.
Advances in experimental medicine and biology (2024), pp. 307-322
Closed Access

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