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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:

An automated approach for predicting glioma grade and survival of LGG patients using CNN and radiomics
Chenan Xu, Yuanyuan Peng, Weifang Zhu, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 18

Showing 18 citing articles:

Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
Impact of glioma metabolism-related gene ALPK1 on tumor immune heterogeneity and the regulation of the TGF-β pathway
Yaofeng Hu, Sen Qin, Ran Deng
Frontiers in Immunology (2025) Vol. 15
Open Access
Prognosis Individualized: Survival predictions for WHO grade II and III gliomas with a machine learning-based web application
Mert Karabacak, Pemla Jagtiani, Alejandro Carrasquilla, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 11
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
UniVisNet: A Unified Visualization and Classification Network for accurate grading of gliomas from MRI
Yao Zheng, Dong Huang, Xiaoshuo Hao, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107332-107332
Closed Access | Times Cited: 5
The Current Diagnostic Performance of MRI-Based Radiomics for Glioma Grading: A Meta-Analysis
Lucio De Maria, Francesco Ponzio, Hwan-ho Cho, et al.
Journal of Integrative Neuroscience (2024) Vol. 23, Iss. 5
Open Access | Times Cited: 1
MRI-based radiomics feature combined with tumor markers to predict TN staging of rectal cancer
Zhiyu Liu, Jinsong Zhang, Hongxuan Wang, et al.
Journal of Robotic Surgery (2024) Vol. 18, Iss. 1
Closed Access | Times Cited: 1
Radiomic Prediction of CCND1 Expression Levels and Prognosis in Low-grade Glioma Based on Magnetic Resonance Imaging
Kun Zhao, Hui Zhang, Jianyang Lin, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4595-4610
Open Access | Times Cited: 1
Use of Radiomics Models in Preoperative Grading of Cerebral Gliomas and Comparison with Three-dimensional Arterial Spin Labelling
Fukang Zhu, Yuefeng Sun, Xiao-Ping Yin, et al.
Clinical Oncology (2023) Vol. 35, Iss. 11, pp. 726-735
Closed Access | Times Cited: 2
Research on application of radiomics in glioma: a bibliometric and visual analysis
Chunbao Chen, Xue Du, Lu Yang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
Utilizing radiomics for differential diagnosis of inverted papilloma and chronic rhinosinusitis with polyps based on unenhanced CT scans
Shaojuan He, Yuxuan Zhao, Lei Shi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Detection of Brain Tumor using Medical Images: A Comparative Study of Machine Learning Algorithms – A Systematic Literature Review
Solomon Antwi Buabeng, Atta Yaw Agyeman, Samuel Gbli Tetteh, et al.
International Journal of Latest Technology in Engineering Management & Applied Science (2024) Vol. 13, Iss. 9, pp. 77-85
Open Access
MRI-based radiomics feature combined with tumor markers to predict TN staging of rectal cancer
Zhiyu Liu, Jinsong Zhang, Hongxuan Wang, et al.
Research Square (Research Square) (2024)
Open Access
Enhanced Multimodal Brain Tumor Classification in MR Images using 2D ResNet as backbone with Explicit Tumor Size Information
Yunhao Zeng, Nianbo Liu, Xinduoji Yang, et al.
Journal of Cancer (2024) Vol. 15, Iss. 13, pp. 4275-4286
Open Access
A Lightweight Multimodal Xception Network for Glioma Grading Using MRI Images
Yu Liang, Dongjie Li, Jiaxin Ren, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 6
Closed Access
Riskformer: Survival prediction from MR imaging in patients with IDH-wildtype glioblastoma
Huixia You, Jiankai Zhang, Yuanshen Zhao, et al.
Displays (2023) Vol. 79, pp. 102493-102493
Closed Access
Magnetic resonance imaging-based machine learning radiomics predicts CCND1 expression level and survival in low-grade gliomas
Kun Zhao, Hui Zhang, Jianyang Lin, et al.
Research Square (Research Square) (2023)
Open Access
Convolutional Neural Networks for Glioma Segmentation and Prognosis: A Systematic Review
Janette Herr, Radka Stoyanova, Eric A. Mellon
Critical Reviews™ in Oncogenesis (2023) Vol. 29, Iss. 3, pp. 33-65
Closed Access
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