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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:

Survival Prediction in Gliomas: Current State and Novel Approaches
Rachel Zhao, Andra Krauze
Exon Publications eBooks (2021), pp. 151-170
Open Access | Times Cited: 11

Showing 11 citing articles:

Treatment Response and Prognosis Evaluation in High‐Grade Glioma: An Imaging Review Based on MRI
Qing Zhou, Caiqiang Xue, Xiaoai Ke, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 56, Iss. 2, pp. 325-340
Closed Access | Times Cited: 28
Predicting the survival of patients with glioblastoma using deep learning: a systematic review
Mohammad Amin Habibi, Zohreh Tajabadi, Ali Soltani Farsani, et al.
The Egyptian Journal of Neurosurgery : the official publication of the Egyptian Society of Neurological Surgeons/Egyptian journal of neurosurgery (2025) Vol. 40, Iss. 1
Open Access
New insights into glioma frequency maps: From genetic and transcriptomic correlate to survival prediction
Hongbo Bao, Peng Ren, Liye Yi, et al.
International Journal of Cancer (2022) Vol. 152, Iss. 5, pp. 998-1012
Open Access | Times Cited: 13
Machine learning based survival prediction in Glioma using large-scale registry data
Rachel Zhao, Ying Zhuge, Kevin Camphausen, et al.
Health Informatics Journal (2022) Vol. 28, Iss. 4
Open Access | Times Cited: 8
Survival prediction of glioblastoma patients using machine learning and deep learning: a systematic review
Roya Poursaeed, Mohsen Mohammadzadeh, Ali Asghar Safaei
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Optimising management of the elderly patient with glioblastoma – survival prediction online tool based on BC Cancer Registry real world data
Rachel Zhao, Jonathan Zeng, Kimberly DeVries, et al.
Neuro-Oncology Advances (2022) Vol. 4, Iss. 1
Open Access | Times Cited: 7
3D Multimodal Brain Tumor Segmentation and Grading Scheme based on Machine, Deep, and Transfer Learning Approaches
Erdal Taşçı, Aybars Uğur, Kevin Camphausen, et al.
International Journal of Bioinformatics and Intelligent Computing (2022)
Open Access | Times Cited: 6
Machine Learning-Based Radiomic Features for Glioblastoma Overall Survival Prediction
Ankit Das, Kee Yen Cheng, Yong Liu, et al.
(2024), pp. 894-898
Closed Access
Applications of artificial intelligence in the analysis of histopathology images of gliomas: a review
Jan-Philipp Redlich, Friedrich Feuerhake, Joachim Weis, et al.
npj Imaging (2024) Vol. 2, Iss. 1
Open Access
Survival Prediction in Glioblastoma Using Combination of Deep Learning and Hand-Crafted Radiomic Features in MRI Images
Ying Zhuge, Holly Ning, Jason Cheng, et al.
Journal of Advances in Information Technology (2023) Vol. 14, Iss. 6, pp. 1461-1469
Open Access | Times Cited: 1
Investigating Useful Features for Overall Survival Prediction in Patients with Low-Grade Glioma Using Histology Slides
Elisa Warner, Xuelu Li, Ganesh Rao, et al.
2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022), pp. 4938-4941
Closed Access
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