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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:

[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

Showing 1-25 of 54 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
Impact of [18F]FDG PET/CT Radiomics and Artificial Intelligence in Clinical Decision Making in Lung Cancer: Its Current Role
Alireza Safarian, Seyed Ali Mirshahvalad, Hadi Nasrollahi, et al.
Seminars in Nuclear Medicine (2025)
Open Access | Times Cited: 5
Prediction of EGFR mutation status and its subtypes in non-small cell lung cancer based on 18F-FDG PET/CT radiological features
Yishuo Fan, Yuang Liu, Xiaohui Ouyang, et al.
Nuclear Medicine Communications (2025) Vol. 46, Iss. 4, pp. 326-336
Closed Access | Times Cited: 1
Artificial intelligence for tumor [18F]FDG-PET imaging: Advancement and future trends—part I
Alireza Safarian, Seyed Ali Mirshahvalad, Abolfazl Farbod, et al.
Seminars in Nuclear Medicine (2025)
Open Access | Times Cited: 1
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
Machine Learning and Texture Analysis of [18F]FDG PET/CT Images for the Prediction of Distant Metastases in Non-Small-Cell Lung Cancer Patients
Armin Hakkak Moghadam Torbati, Sara Pellegrino, Rosa Fonti, et al.
Biomedicines (2024) Vol. 12, Iss. 3, pp. 472-472
Open Access | Times Cited: 7
Predictive value of 18F-FDG PET/CT-based radiomics model for neoadjuvant chemotherapy efficacy in breast cancer: a multi-scanner/center study with external validation
Kun Chen, Jian Wang, Shuai Li, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 50, Iss. 7, pp. 1869-1880
Closed Access | Times Cited: 12
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
Multicentric development and evaluation of [18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy
François Lucia, Thomas Louis, François Cousin, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2023) Vol. 51, Iss. 4, pp. 1097-1108
Closed Access | Times Cited: 11
Transfer learning–based PET/CT three-dimensional convolutional neural network fusion of image and clinical information for prediction of EGFR mutation in lung adenocarcinoma
Xiaonan Shao, Xinyu Ge, Jianxiong Gao, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
The Role of [18F]FDG PET/CT in Monitoring of Therapy Response in Lung Cancer
Olusegun Akinwale Ayeni, Osayande Evbuomwan, Mboyo-Di-Tamba Vangu
Seminars in Nuclear Medicine (2025)
Open Access
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
Letter From the Editors
M Michael Sathekge, Kirsten Bouchelouche
Seminars in Nuclear Medicine (2025)
Closed Access
Differentiating second primary lung cancer from pulmonary metastasis in patients of single solitary pulmonary lesion with extrapulmonary tumor using multiparametric analysis of FDG PET/CT
Honghong Liu, Xiaolin Meng, Guanyun Wang, et al.
Annals of Nuclear Medicine (2025)
Open Access
Increasing use of artificial intelligence in genomic medicine for cancer care- the promise and potential pitfalls
O. O’Connor, Terri McVeigh
BJC Reports (2025) Vol. 3, Iss. 1
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
Development and evaluation of two open-source nnU-Net models for automatic segmentation of lung tumors on PET and CT images with and without respiratory motion compensation
M. Carles, Dejan Kuhn, Tobias Fechter, et al.
European Radiology (2024) Vol. 34, Iss. 10, pp. 6701-6711
Open Access | Times Cited: 3
Left Ventricular Myocardial Dysfunction Evaluation in Thalassemia Patients Using Echocardiographic Radiomic Features and Machine Learning Algorithms
Haniyeh Taleie, Ghasem Hajianfar, Maziar Sabouri, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 6, pp. 2494-2506
Open Access | Times Cited: 8
Imaging of Lung Cancer Staging: TNM 9 Updates
Lauren T. Erasmus, Chad D. Strange, Jitesh Ahuja, et al.
Seminars in Ultrasound CT and MRI (2024)
Closed Access | Times Cited: 2
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.
Research Square (Research Square) (2023)
Open Access | Times Cited: 6
Lung Cancer Staging: Imaging and Potential Pitfalls
Lauren T. Erasmus, Taylor A. Strange, Rishi Agrawal, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3359-3359
Open Access | Times Cited: 6
Head-to-head comparison of <sup>18</sup>F-FDG PET/CT and <sup>18</sup>F-FDG PET/MRI for lymph node metastasis staging in non-small cell lung cancer: a meta-analysis
Min Zhang, Zhikang Liu, Yuhang Yuan, et al.
Diagnostic and Interventional Radiology (2024) Vol. 30, Iss. 2, pp. 99-106
Open Access | Times Cited: 2
Application of 18F-FDG PET/CT imaging radiomics in the differential diagnosis of single-nodule pulmonary metastases and second primary lung cancer in patients with colorectal cancer
Yu Yu, Jing Zhu, Shibiao Sang, et al.
Journal of Cancer Research and Therapeutics (2024) Vol. 20, Iss. 2, pp. 599-607
Open Access | Times Cited: 2
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