Open Access Helper

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:

Tumor Mutation Burden–Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning
Caixia Sun, Tao Luo, Zhenyu Liu, et al.
American Journal Of Pathology (2023) Vol. 193, Iss. 12, pp. 2111-2121
Open Access | Times Cited: 4

Showing 4 citing articles:

A Decision-Aid Model for Predicting Triple-Negative Breast Cancer ICI Response Based on Tumor Mutation Burden
Houda Bendani, Nasma Boumajdi, Lahcen Belyamani, et al.
BioMedInformatics (2025) Vol. 5, Iss. 1, pp. 9-9
Open Access
Identifying pathological groups from MRI in prostate cancer using graph representation learning
Feng Liu, Yuanshen Zhao, Chongzhe Yan, et al.
Displays (2024) Vol. 83, pp. 102699-102699
Closed Access | Times Cited: 2
Deep learning for endometrial cancer subtyping and predicting tumor mutational burden from histopathological slides
Ching‐Wei Wang, Nabila Puspita Firdi, Yu‐Ching Lee, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 1
IDH-mutant glioma risk stratification via whole slide images: identifying pathological feature associations
Xiaotao Wang, Zilong Wang, Weiwei Wang, et al.
iScience (2024) Vol. 28, Iss. 1, pp. 111605-111605
Open Access
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