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:

Multiregional radiomics of brain metastasis can predict response to EGFR-TKI in metastatic NSCLC
Ying Fan, Xinti Wang, Yue Dong, et al.
European Radiology (2023) Vol. 33, Iss. 11, pp. 7902-7912
Closed Access | Times Cited: 13

Showing 13 citing articles:

Application of radiomics in diagnosis and treatment of lung cancer
Feng Pan, Feng Li, Baocai Liu, et al.
Frontiers in Pharmacology (2023) Vol. 14
Open Access | Times Cited: 16

Habitat‐based MRI radiomics to predict the origin of brain metastasis
Yiyao Sun, Yan Wang, Mingchen Jiang, et al.
Medical Physics (2025)
Closed Access

The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors
Yixin Wang, Zongtao Hu, Hongzhi Wang
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access

Distinguishing EGFR mutation molecular subtypes based on MRI radiomics features of lung adenocarcinoma brain metastases
Jiali Xu, Yuqiong Yang, Gao Zhi-zhen, et al.
Clinical Neurology and Neurosurgery (2024) Vol. 240, pp. 108258-108258
Closed Access | Times Cited: 2

Metastatic Lung Adenocarcinomas: Development and Evaluation of Radiomic-Based Methods to Measure Baseline Intra-Patient Inter-Tumor Lesion Heterogeneity
Mathilde Lafon, Sophie Cousin, Mélissa Alamé, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 1

Differentiation of lung and breast cancer brain metastases: Comparison of texture analysis and deep convolutional neural networks
Mehmet Ali Gültekin, Abdüsselim Adil Peker, Ayşe Betül Oktay, et al.
Journal of Clinical Ultrasound (2023) Vol. 51, Iss. 9, pp. 1579-1586
Closed Access | Times Cited: 3

Habitat-Based Radiomics for Predicting EGFR Mutations in Exon 19 and 21 From Brain Metastasis
Chunna Yang, Ying Fan, Dan Zhao, et al.
Academic Radiology (2024) Vol. 31, Iss. 9, pp. 3764-3773
Closed Access

Habitat-Based MRI Radiomics to Predict the Origin of Brain Metastasis
Yiyao Sun, Peng Zhao, Mingchen Jiang, et al.
(2024)
Closed Access

Radiomics-Modell prognostiziert bei NSCLC mit Hirnmetastasen Response auf EGFR-TIKI
Gabriele Dobler
Angewandte Nuklearmedizin (2024) Vol. 47, Iss. 02, pp. 91-92
Closed Access

Radiomics-Modell prognostiziert bei NSCLC mit Hirnmetastasen Response auf EGFR-TIKI

Neuroradiologie Scan (2023) Vol. 13, Iss. 04, pp. 235-236
Closed Access

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