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:

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features
Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, et al.
SSRN Electronic Journal (2022)
Open Access | Times Cited: 8

Showing 8 citing articles:

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: 65

Histopathological Subtype Phenotype Decoding Using Harmonized PET/CT Image Radiomics Features and Machine Learning
Zahra Khodabakhshi, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2021), pp. 1-3
Closed Access | Times Cited: 2

Machine Learning-based Overall Survival Prediction in GBM Patients Using MRI Radiomics
Ghasem Hajianfar, Atlas Haddadi Avval, Seyyed Ali Hosseini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1

Cardiac SPECT Radiomic Features Reproducibility: Patient study
Maziar Sabouri, Ghasem Hajianfar, Mobin Mohebi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-4
Closed Access | Times Cited: 1

MRI Radiomic Features Harmonization: A Multi-Center Phantom Study
Ghasem Hajianfar, Seyyed Ali Hosseini, Mehdi Amini, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access | Times Cited: 1

PET and CT Information Fusion and Quality Assessment Toward Optimized Radiomic Features Extraction
Mehdi Amini, Isaac Shiri, Habib Zaidi
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access

Breast Tumor Genes Subtype Profiling Using MR Image Radiomic Features and Machine Learning Algorithms
Aazadeh Akhavanallaf, Marziyeh Hoseininezhad, Milad Moradi, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access

Progression-Free Survival Prediction in Head and Neck Cancer using Fused PET-CT Radiomics and Machine Learning
Atlas Haddadi Avval, Mehdi Amini, Ghasem Hajianfar, et al.
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) (2022), pp. 1-3
Closed Access

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