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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:

Development and externally validate MRI-based nomogram to assess EGFR and T790M mutations in patients with metastatic lung adenocarcinoma
Ying Fan, Yue Dong, Huan Wang, et al.
European Radiology (2022) Vol. 32, Iss. 10, pp. 6739-6751
Closed Access | Times Cited: 16

Showing 16 citing articles:

Reproducibility of radiomics quality score: an intra- and inter-rater reliability study
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Federica Vernuccio, et al.
European Radiology (2023) Vol. 34, Iss. 4, pp. 2791-2804
Open Access | Times Cited: 30
The potential of MRI radiomics based on extrapulmonary metastases in predicting EGFR mutations: a systematic review and meta-analysis
Linyong Wu, Dayou Wei, Songhua Li, et al.
BioMedical Engineering OnLine (2025) Vol. 24, Iss. 1
Open 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
Predicting EGFR T790M Mutation in Brain Metastases Using Multisequence MRI-Based Radiomics Signature
Ye Li, Xinna Lv, Bing Wang, et al.
Academic Radiology (2022) Vol. 30, Iss. 9, pp. 1887-1895
Closed Access | Times Cited: 16
Multisequence MRI-based radiomics model for predicting POLE mutation status in patients with endometrial cancer
Zijing Lin, Weiyong Gu, Qinhao Guo, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1151
Closed Access | Times Cited: 7
CT Radiomics Predict EGFR-T790M Resistance Mutation in Advanced Non-Small Cell Lung Cancer Patients After Progression on First-line EGFR-TKI
Xin Tang, Yuan Li, Li-Ting Shen, et al.
Academic Radiology (2023) Vol. 30, Iss. 11, pp. 2574-2587
Closed Access | Times Cited: 6
Artificial Intelligence in Bone Metastasis Imaging: Recent Progresses from Diagnosis to Treatment - A Narrative Review
Elena Caloro, Giulia Gnocchi, Cettina Quarrella, et al.
Critical Reviews™ in Oncogenesis (2023) Vol. 29, Iss. 2, pp. 77-90
Closed Access | Times Cited: 4
Brain metastasis magnetic resonance imaging-based deep learning for predicting epidermal growth factor receptor (EGFR) mutation and subtypes in metastatic non-small cell lung cancer
Ran Cao, Langyuan Fu, Bo Huang, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 7, pp. 4749-4762
Open Access | Times Cited: 1
Comprehensive analysis of prediction of the EGFR mutation and subtypes based on the spinal metastasis from primary lung adenocarcinoma
Ran Cao, Huanhuan Chen, Huan Wang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 3
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
Nomogram prediction for epidermal growth factor receptor mutation and subtypes in patients with non-small cell lung cancer
Wenbo Li, Haike Lei, Yangli Zhang, et al.
Research Square (Research Square) (2024)
Open Access
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
Tumor‐liver interface in MRI of liver metastasis enables prediction of EGFR mutation in patients with lung cancer: A proof‐of‐concept study
Shaoping Hou, Hongbo Wang, Xiaoyu Wang, et al.
Medical Physics (2023) Vol. 51, Iss. 2, pp. 1083-1091
Closed Access | Times Cited: 1
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
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
Development and validation of multi-sequence magnetic resonance imaging radiomics models for predicting tumor response to radiotherapy in locally advanced non-small cell lung cancer
Shangqun Liu, Yan Lv, Lian Duan, et al.
Journal of Thoracic Disease (2023)
Open Access
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