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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 for MRI Segmentation and Molecular Subtyping in Glioblastoma: Critical Aspects from an Emerging Field
Marta Bonada, Luca Francesco Rossi, Giovanni Carone, et al.
Biomedicines (2024) Vol. 12, Iss. 8, pp. 1878-1878
Open Access | Times Cited: 11

Showing 11 citing articles:

Proposal of a Machine Learning Based Prognostic Score for Ruptured Microsurgically Treated Anterior Communicating Artery Aneurysms
Massimiliano Minardi, Andrea Bianconi, Luca Mesin, et al.
Journal of Clinical Medicine (2025) Vol. 14, Iss. 2, pp. 578-578
Open Access | Times Cited: 2
Preoperative Adult-Type Diffuse Glioma Subtype Prediction with Dynamic Contrast-Enhanced MR Imaging and Diffusion Weighted Imaging in Tumor Cores and Peritumoral Tissue—A Standardized Multicenter Study
Leonie Zerweck, Uwe Klose, Urs Würtemberger, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 532-532
Open Access | Times Cited: 1
CNN-TumorNet: leveraging explainability in deep learning for precise brain tumor diagnosis on MRI images
Novsheena Rasool, Niyaz Ahmad Wani, Javaid Iqbal Bhat, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access | Times Cited: 1
A novel approach for the detection of brain tumor and its classification via end-to-end vision transformer - CNN architecture
K. Chandraprabha, L. Ganesan, K. Baskaran
Frontiers in Oncology (2025) Vol. 15
Open Access
Integrating quantitative DCE-MRI parameters and radiomic features for improved IDH mutation prediction in gliomas
Meiping Ye, Zehong Cao, Zhengyang Zhu, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
MRI-based deep transfer learning models for predicting progesterone receptor expression in meningioma
Song Gao, Li Zhao, Nan Li, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Integrated brain tumor segmentation and MGMT promoter methylation status classification from multimodal MRI data using deep learning
M. Iqbal, Usama Ijaz Bajwa, Rehan Raza, et al.
Digital Health (2025) Vol. 11
Open Access
Deep learning in neurosurgery: a systematic literature review with a structured analysis of applications across subspecialties
Kıvanç Yangı, Jinpyo Hong, A. Gholami, et al.
Frontiers in Neurology (2025) Vol. 16
Open Access
Impact of Deep Learning-Based Image Reconstruction on Tumor Visibility and Diagnostic Confidence in Computed Tomography
Marie Bertl, F. Hahne, Stephanie Gräger, et al.
Bioengineering (2024) Vol. 11, Iss. 12, pp. 1285-1285
Open Access
Exploratory Analysis of Radiomics and Pathomics in Uterine Corpus Endometrial Carcinoma
Valentina Brancato, Nunzia Garbino, Marco Aiello, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Assessing Glioblastoma Treatment Response Using Machine Learning Approach Based on Magnetic Resonance Images Radiomics: An Exploratory Study
Amirreza Sadeghinasab, Jafar Fatahiasl, Marziyeh Tahmasbi, et al.
Health Science Reports (2024) Vol. 8, Iss. 1
Open Access
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