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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:

The combination of radiomics features and VASARI standard to predict glioma grade
Wei You, Yitao Mao, Xiao Jiao, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 12

Showing 12 citing articles:

Beyond invasive biopsies: using VASARI MRI features to predict grade and molecular parameters in gliomas
Nurhuda Hendra Setyawan, Lina Choridah, Hanung Adi Nugroho, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 9
Training and Comparison of nnU-Net and DeepMedic Methods for Autosegmentation of Pediatric Brain Tumors
Arastoo Vossough, Nastaran Khalili, Ariana Familiar, et al.
American Journal of Neuroradiology (2024) Vol. 45, Iss. 8, pp. 1081-1089
Open Access | Times Cited: 6
Research Progress of Artificial Intelligence in the Grading and Classification of Meningiomas
Yuan Gui, Jing Zhang
Academic Radiology (2024) Vol. 31, Iss. 8, pp. 3346-3354
Closed Access | Times Cited: 3
MRI-based intratumoral and peritumoral radiomics for preoperative prediction of glioma grade: a multicenter study
Ruiqin Tan, Chunxiao Sui, Chao Wang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Ten Years of VASARI Glioma Features: Systematic Review and Meta-Analysis of Their Impact and Performance
Aynur Azizova, Yeva Prysiazhniuk, Ivar J. H. G. Wamelink, et al.
American Journal of Neuroradiology (2024) Vol. 45, Iss. 8, pp. 1053-1062
Closed Access | Times Cited: 2
Utilizing the amide proton transfer technique to characterize diffuse gliomas based on the WHO 2021 classification of CNS tumors
Elena Filimonova, Anton Pashkov, Norayr Borisov, et al.
The Neuroradiology Journal (2024) Vol. 37, Iss. 4, pp. 490-499
Open Access | Times Cited: 1
Glioma Grade and Molecular Markers: Comparing Machine-Learning Approaches Using VASARI (Visually AcceSAble Rembrandt Images) Radiological Assessment
Nurhuda Hendra Setyawan, Lina Choridah, Hanung Adi Nugroho, et al.
Cureus (2024)
Open Access | Times Cited: 1
Evaluation of glial tumors: correlation between magnetic resonance imaging and histopathological analysis
Líllian Gonçalves Campos, Francine Hehn de Oliveira, Apio Antunes, et al.
Radiologia Brasileira (2024) Vol. 57
Open Access | Times Cited: 1
Vasari-Based Features Nomogram to Predict the Tumor-Infiltrating CD8+ T Cell Levels in Glioblastoma
Caiqiang Xue, Qing Zhou, Bin Zhang, et al.
Academic Radiology (2023) Vol. 31, Iss. 5, pp. 2050-2060
Closed Access | Times Cited: 3
Predictive machine learning models based on VASARI features for WHO grading, isocitrate dehydrogenase mutation, and 1p19q co-deletion status: a multicenter study
Wei Zhao, Chao Xie, Kukun Hanjiaerbieke, et al.
American Journal of Cancer Research (2024) Vol. 14, Iss. 8, pp. 3826-3841
Open Access
VASARI 2.0: a new updated MRI VASARI lexicon to predict grading and IDH status in brain glioma
A. Dal Negro, Laura Gemini, Mario Tortora, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access
Assessment of Ki-67 expression levels in IDH-wildtype glioblastoma using logistic regression modelling of VASARI features
Liangcai Bai, Jian Jiang, Junlin Zhou
Neurosurgical Review (2023) Vol. 47, Iss. 1
Closed Access | Times Cited: 1
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