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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:

Impact of feature harmonization on radiogenomics analysis: Prediction of EGFR and KRAS mutations from non-small cell lung cancer PET/CT images
Isaac Shiri, Mehdi Amini, Mostafa Nazari, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105230-105230
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Fusion of shallow and deep features from 18F-FDG PET/CT for predicting EGFR-sensitizing mutations in non-small cell lung cancer
Xiaohui Yao, Yuan Zhu, Zhenxing Huang, et al.
Quantitative Imaging in Medicine and Surgery (2024) Vol. 14, Iss. 8, pp. 5460-5472
Open Access | Times Cited: 26
COVID-19 prognostic modeling using CT radiomic features and machine learning algorithms: Analysis of a multi-institutional dataset of 14,339 patients
Isaac Shiri, Yazdan Salimi, Masoumeh Pakbin, et al.
Computers in Biology and Medicine (2022) Vol. 145, pp. 105467-105467
Open Access | Times Cited: 64
Artificial intelligence-based prediction of clinical outcome in immunotherapy and targeted therapy of lung cancer
Xiaomeng Yin, Hu Liao, Yun Hong, et al.
Seminars in Cancer Biology (2022) Vol. 86, pp. 146-159
Closed Access | Times Cited: 62
[18F]FDG-PET/CT Radiomics and Artificial Intelligence in Lung Cancer: Technical Aspects and Potential Clinical Applications
Reyhaneh Manafi‐Farid, Emran Askari, Isaac Shiri, et al.
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 6, pp. 759-780
Open Access | Times Cited: 54
Feature selection methods and predictive models in CT lung cancer radiomics
Gary Ge, Jie Zhang
Journal of Applied Clinical Medical Physics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 39
Predicting gene mutation status via artificial intelligence technologies based on multimodal integration (MMI) to advance precision oncology
Jun Shao, Jiechao Ma, Qin Zhang, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 1-15
Open Access | Times Cited: 36
Computed Tomography-derived intratumoral and peritumoral radiomics in predicting EGFR mutation in lung adenocarcinoma
Youlan Shang, Weidao Chen, Ge Li, et al.
La radiologia medica (2023) Vol. 128, Iss. 12, pp. 1483-1496
Open Access | Times Cited: 27
Deep learning in radiology for lung cancer diagnostics: A systematic review of classification, segmentation, and predictive modeling techniques
Anirudh Atmakuru, Subrata Chakraborty, Oliver Faust, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124665-124665
Closed Access | Times Cited: 9
High-dimensional multinomial multiclass severity scoring of COVID-19 pneumonia using CT radiomics features and machine learning algorithms
Isaac Shiri, Shayan Mostafaei, Atlas Haddadi Avval, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 31
Myocardial Perfusion SPECT Imaging Radiomic Features and Machine Learning Algorithms for Cardiac Contractile Pattern Recognition
Maziar Sabouri, Ghasem Hajianfar, Zahra Hosseini, et al.
Journal of Digital Imaging (2022) Vol. 36, Iss. 2, pp. 497-509
Open Access | Times Cited: 30
Time-to-event overall survival prediction in glioblastoma multiforme patients using magnetic resonance imaging radiomics
Ghasem Hajianfar, Atlas Haddadi Avval, Seyyed Ali Hosseini, et al.
La radiologia medica (2023) Vol. 128, Iss. 12, pp. 1521-1534
Open Access | Times Cited: 19
Clinical application of AI-based PET images in oncological patients
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 18
Systematic Review, Meta-Analysis and Radiomics Quality Score Assessment of CT Radiomics-Based Models Predicting Tumor EGFR Mutation Status in Patients with Non-Small-Cell Lung Cancer
Mehdi Felfli, Yan Liu, Fadila Zerka, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 14, pp. 11433-11433
Open Access | Times Cited: 16
The effect of harmonization on the variability of PET radiomic features extracted using various segmentation methods
Seyyed Ali Hosseini, Isaac Shiri, Pardis Ghaffarian, et al.
Annals of Nuclear Medicine (2024) Vol. 38, Iss. 7, pp. 493-507
Open Access | Times Cited: 6
Myocardial Function Prediction After Coronary Artery Bypass Grafting Using MRI Radiomic Features and Machine Learning Algorithms
Fatemeh Arian, Mehdi Amini, Shayan Mostafaei, et al.
Journal of Digital Imaging (2022) Vol. 35, Iss. 6, pp. 1708-1718
Open Access | Times Cited: 25
Machine learning-based diagnosis and risk classification of coronary artery disease using myocardial perfusion imaging SPECT: A radiomics study
Mehdi Amini, Mohamad Pursamimi, Ghasem Hajianfar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Integrative radiomics and transcriptomics analyses reveal subtype characterization of non-small cell lung cancer
Peng Lin, Yi-qun Lin, Ruizhi Gao, et al.
European Radiology (2023) Vol. 33, Iss. 9, pp. 6414-6425
Closed Access | Times Cited: 13
The predictive value of [18F]FDG PET/CT radiomics combined with clinical features for EGFR mutation status in different clinical staging of lung adenocarcinoma
Jianxiong Gao, Rong Niu, Yunmei Shi, et al.
EJNMMI Research (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Non-invasive decision support for clinical treatment of non-small cell lung cancer using a multiscale radiomics approach
Xingping Zhang, Guijuan Zhang, Xingting Qiu, et al.
Radiotherapy and Oncology (2024) Vol. 191, pp. 110082-110082
Closed Access | Times Cited: 5
Post-revascularization Ejection Fraction Prediction for Patients Undergoing Percutaneous Coronary Intervention Based on Myocardial Perfusion SPECT Imaging Radiomics: a Preliminary Machine Learning Study
Mobin Mohebi, Mehdi Amini, Mohammad Javad Alemzadeh‐Ansari, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 4, pp. 1348-1363
Open Access | Times Cited: 12
A Review of AI-Based Radiomics and Computational Pathology Approaches in Triple-Negative Breast Cancer: Current Applications and Perspectives
Germán Corredor, Satvika Bharadwaj, Tilak Pathak, et al.
Clinical Breast Cancer (2023) Vol. 23, Iss. 8, pp. 800-812
Open Access | Times Cited: 12
A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access
Impact of harmonization and oversampling methods on radiomics analysis of multi-center imbalanced datasets: application to PET-based prediction of lung cancer subtypes
Dongyang Du, Isaac Shiri, Fereshteh Yousefirizi, et al.
EJNMMI Physics (2025) Vol. 12, Iss. 1
Open Access
New research progress on 18F-FDG PET/CT radiomics for EGFR mutation prediction in lung adenocarcinoma: a review
Xinyu Ge, Jianxiong Gao, Rong Niu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 9
Machine learning-based analysis of 68Ga-PSMA-11 PET/CT images for estimation of prostate tumor grade
Maziar Khateri, Farshid Babapour Mofrad, Parham Geramifar, et al.
Physical and Engineering Sciences in Medicine (2024) Vol. 47, Iss. 2, pp. 741-753
Closed Access | Times Cited: 3
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