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:

Grey Level Co-occurrence Matrix (GLCM) as a Radiomics Feature for Artificial Intelligence (AI) Assisted Positron Emission Tomography (PET) Images Analysis
Mahbubunnabi Tamal
IOP Conference Series Materials Science and Engineering (2019) Vol. 646, Iss. 1, pp. 012047-012047
Open Access | Times Cited: 8

Showing 8 citing articles:

Somatostatin receptor subtype expression and radiomics from DWI-MRI represent SUV of [68Ga]Ga-DOTATOC PET in patients with meningioma
Sarah Iglseder, Anna Iglseder, Vincent Beliveau, et al.
Journal of Neuro-Oncology (2023) Vol. 164, Iss. 3, pp. 711-720
Open Access | Times Cited: 4

Using radiomics for predicting the HPV status of oropharyngeal tumors
K. Sarac, Albert Güveniş
Journal of Engineering and Applied Science (2024) Vol. 71, Iss. 1
Open Access | Times Cited: 1

Radiomic Features Based Automatic Classification of CT Lung Findings for COVID-19 Patients
Mahbubunnabi Tamal, Murad Althobaiti, Maryam Alhashim, et al.
Biomedical Physics & Engineering Express (2024) Vol. 11, Iss. 1, pp. 015012-015012
Closed Access | Times Cited: 1

Diffusion-Weighted MRI and Human Papillomavirus (HPV) Status in Oropharyngeal Cancer
Heleen Bollen, Rüveyda Dok, Frederik De Keyzer, et al.
Cancers (2024) Vol. 16, Iss. 24, pp. 4284-4284
Open Access | Times Cited: 1

Physics-Informed Discretization for Reproducible and Robust Radiomic Feature Extraction Using Quantitative MRI
Walter Zhao, Zheyuan Hu, Anahita Fathi Kazerooni, et al.
Investigative Radiology (2023)
Open Access | Times Cited: 3

Determining HPV Status in Patients with Oropharyngeal Cancer from 3D CT Images Using Radiomics: Effect of Sampling Methods
K. Sarac, Albert Güveniş
Lecture notes in computer science (2023), pp. 27-41
Closed Access | Times Cited: 2

MR textural features (RADIOMICS) for predicting response to treatment in patients with intracranial tuberculoma: A retrospective cross-sectional study
Muhammad Awais, Shahmeer Khan, Wasay Muhammad, et al.
Pakistan Journal of Neurological Sciences (2023) Vol. 17, Iss. 03
Open Access | Times Cited: 1

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