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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:

Preoperative MRI‐Based Radiomics of Brain Metastasis to Assess T790M Resistance Mutation After EGFR‐TKI Treatment in NSCLC
Ying Fan, Lingzi He, Huazhe Yang, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 6, pp. 1778-1787
Closed Access | Times Cited: 17

Showing 17 citing articles:

A systematic review of brain metastases from lung cancer using magnetic resonance neuroimaging: Clinical and technical aspects
Sadegh Ghaderi, Sana Mohammadi, Mahdi Mohammadi, et al.
Journal of Medical Radiation Sciences (2024) Vol. 71, Iss. 2, pp. 269-289
Open Access | Times Cited: 7
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
Evaluation of EGFR-TKIs and ICIs treatment stratification in non-small cell lung cancer using an encrypted multidimensional radiomics approach
Xingping Zhang, Xingting Qiu, Yue Zhang, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Conventional and Advanced Magnetic Resonance Imaging Assessment of Non-Enhancing Peritumoral Area in Brain Tumor
Elisa Scola, Guido Del Vecchio, Giorgio Busto, et al.
Cancers (2023) Vol. 15, Iss. 11, pp. 2992-2992
Open Access | Times Cited: 9
Brain‐Tumor Interface‐Based MRI Radiomics Models to Determine EGFR Mutation, Response to EGFR‐TKI and T790M Resistance Mutation in Non‐Small Cell Lung Carcinoma Brain Metastasis
Ying Fan, Xinti Wang, Chunna Yang, et al.
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 6, pp. 1838-1847
Closed Access | Times Cited: 8
Clinical characteristics and MRI based radiomics nomograms can predict iPFS and short-term efficacy of third-generation EGFR-TKI in EGFR-mutated lung adenocarcinoma with brain metastases
Haoran Qi, Yichen Hou, Zhonghang Zheng, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Predicting the T790M mutation in non-small cell lung cancer (NSCLC) using brain metastasis MR radiomics: a study with an imbalanced dataset
Wen-Feng Wu, Kuan-Ming Lai, Chia‐Hung Chen, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
CT-based nomogram for early identification of T790M resistance in metastatic non-small cell lung cancer before first-line epidermal growth factor receptor-tyrosine kinase inhibitors therapy
Ye Li, Xinna Lv, Yichuan Wang, et al.
European Radiology Experimental (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Radiomic signatures for the non-invasive prediction of EGFR mutation status in brain metastases of lung adenocarcinoma
Liheng Yu, Linlin Sun, Li Zhu, et al.
Research Square (Research Square) (2024)
Open Access
MRI radiomics for predicting intracranial progression in non-small-cell lung cancer patients with brain metastases treated with epidermal growth factor receptor tyrosine kinase inhibitors
Jun Qu, Tao Zhang, X.-C. Zhang, et al.
Clinical Radiology (2024) Vol. 79, Iss. 4, pp. e582-e591
Closed Access
Habitat-Based MRI Radiomics to Predict the Origin of Brain Metastasis
Yiyao Sun, Peng Zhao, Mingchen Jiang, et al.
(2024)
Closed Access
Multisequence MRI-based radiomics nomogram for early prediction of osimertinib resistance in patients with non-small cell lung cancer brain metastases
Xinna Lv, Ye Li, Xiaoyue Xu, et al.
European Journal of Radiology Open (2023) Vol. 11, pp. 100521-100521
Open Access | Times Cited: 1
Optimizing the Size of Peritumoral Region for Assessing Non-Small Cell Lung Cancer Heterogeneity Using Radiomics
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Lecture notes in computer science (2023), pp. 309-320
Closed Access | Times Cited: 1
Multisequence MRI-based radiomics analysis for early prediction of the risk of T790M resistance in new brain metastases
Xinna Lv, Ye Li, Bing Wang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 12, pp. 8599-8610
Open Access | Times Cited: 1
Editorial for “Brain‐Tumor Interface‐Based MRI Radiomics Models to Determine EGFR Mutation, Response to EGFR‐TKI and T790M Resistance Mutation in Non‐Small Cell Lung Carcinoma Brain Metastasis”
Qingfei Luo, Xiaohong Joe Zhou
Journal of Magnetic Resonance Imaging (2023) Vol. 58, Iss. 6, pp. 1848-1849
Open Access
Editorial for “Preoperative MRI‐Based Radiomics of Brain Metastasis to Assess T790M Resistance Mutation After EGFR‐TKI Treatment in NSCLC”
Akhilanand Chaurasia, Anand Marya
Journal of Magnetic Resonance Imaging (2022) Vol. 57, Iss. 6, pp. 1788-1789
Closed Access
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