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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:

A Novel System for Precise Grading of Glioma
Ahmed Alksas, Mohamed Shehata, Hala Atef, et al.
Bioengineering (2022) Vol. 9, Iss. 10, pp. 532-532
Open Access | Times Cited: 12

Showing 12 citing articles:

Prediction of Wilms’ Tumor Susceptibility to Preoperative Chemotherapy Using a Novel Computer-Aided Prediction System
Israa Sharaby, Ahmed Alksas, Ahmed Nashat, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 486-486
Open Access | Times Cited: 22
Artificial Intelligence for Neuroimaging in Pediatric Cancer
Josué Luiz Dalboni da Rocha, Jesyin Lai, Pankaj Pandey, et al.
Cancers (2025) Vol. 17, Iss. 4, pp. 622-622
Open Access
Texture feature analysis of MRI-ADC images to differentiate glioma grades using machine learning techniques
Sahan M. Vijithananda, Mohan Jayatilake, Teresa Gonçalves, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 7
Multimodal MRI radiomic models to predict genomic mutations in diffuse intrinsic pontine glioma with missing imaging modalities
Fahad Khalid, Jessica Goya-Outi, Thibault Escobar, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 5
A data-centric machine learning approach to improve prediction of glioma grades using low-imbalance TCGA data
Raquel Sánchez-Marqués, Vicente García, J. Salvador Sánchez
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
An AI-Based CAP Framework for Wilms’ Tumor Preoperative Chemotherapy Susceptibility
Israa Sharaby, Ahmed Alksas, A. Nashat, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2023), pp. 1-4
Closed Access | Times Cited: 3
MRI-derived radiomics to guide post-operative management of glioblastoma: Implication for personalized radiation treatment volume delineation
S. Chiesa, Rosellina Russo, Francesco Beghella Bartoli, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 2
A data-centric machine learning approach to improve prediction of glioma grades using low-imbalance TCGA data
Raquel Sánchez-Marqués, Vicente García, J. Salvador Sánchez
Research Square (Research Square) (2024)
Open Access
Synthesis of Wilms tumor images using Generative Adversarial Networks
Manika Jha, Richa Gupta, Rajiv Saxena
(2024), pp. 89-92
Closed Access
Machine learning models based on multi-parameter MRI radiomics for prediction of molecular glioblastoma: a new study based on the 2021 World Health Organization classification
Xin Kong, Yu M, Yuqi Luo, et al.
Acta Radiologica (2023) Vol. 64, Iss. 11, pp. 2938-2947
Closed Access | Times Cited: 1
Glioma grade discrimination with dynamic contrast-enhanced MRI: An accurate analysis based on MRI guided stereotactic biopsy
Juan Wu, Zonghui Liang, Xiaofei Deng, et al.
Magnetic Resonance Imaging (2023) Vol. 99, pp. 91-97
Closed Access
Role of machine learning in early diagnosis of kidney diseases.
Mohamed Shehata
(2022)
Open Access
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