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:

Radiomics Beyond the Hype: A Critical Evaluation Toward Oncologic Clinical Use
Natally Horvat, Nickolas Papanikolaou, Dow‐Mu Koh
Radiology Artificial Intelligence (2024) Vol. 6, Iss. 4
Open Access | Times Cited: 22

Showing 22 citing articles:

The widening gap between radiomics research and clinical translation: rethinking current practices and shared responsibilities
Burak Koçak, Daniel Pinto dos Santos, Matthias Dietzel
(2025), pp. 100004-100004
Open Access | Times Cited: 4

Evaluating the impact of the Radiomics Quality Score: a systematic review and meta-analysis
Nathaniel Barry, Jake Kendrick, Kaylee Molin, et al.
European Radiology (2025)
Open Access | Times Cited: 2

The Role of Predictive and Prognostic MRI-Based Biomarkers in the Era of Total Neoadjuvant Treatment in Rectal Cancer
Sebastian Curcean, Andra Curcean, Daniela Martin, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 3111-3111
Open Access | Times Cited: 4

Artificial Intelligence in Gastrointestinal Imaging
Jaron Chong, Anish Kirpalani, Robert B. Moreland, et al.
Radiologic Clinics of North America (2025) Vol. 63, Iss. 3, pp. 477-490
Closed Access

Predicting Axillary Lymph Node Metastasis in Young Onset Breast Cancer: A Clinical-Radiomics Nomogram Based on DCE-MRI
Xia Dong, Jingwen Meng, Jun Xing, et al.
Breast Cancer Targets and Therapy (2025) Vol. Volume 17, pp. 103-113
Open Access

Diagnostic Accuracy of Radiomics in the Early Detection of Pancreatic Cancer: A Systematic Review and Qualitative Assessment Using the Methodological Radiomics Score (METRICS)
María Estefanía Renjifo-Correa, Salvatore Claudio Fanni, Luis Alfonso Bustamante Cristancho, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 803-803
Open Access

AI and human interactions in prostate cancer diagnosis using MRI
Anwar R. Padhani, Nickolas Papanikolaou
European Radiology (2025)
Closed Access

Radiomics and machine learning for predicting metachronous liver metastasis in rectal cancer
Arunkumar Krishnan
World Journal of Gastrointestinal Oncology (2025) Vol. 17, Iss. 4
Closed Access

Sample size estimation for radiomics studies: an overlooked problem
Michail E. Klontzas, Burak Koçak, Renato Cuocolo
European Radiology (2025)
Closed Access

Deep learning-based segmentation of gallbladder cancer on abdominal computed tomography scans: a multicenter study
Pankaj Gupta, N Dutta, Ajay Tomar, et al.
Abdominal Radiology (2025)
Closed Access

A critical assessment of artificial intelligence in magnetic resonance imaging of cancer
Chengyue Wu, Meryem Abbad Andaloussi, David A. Hormuth, et al.
npj Imaging (2025) Vol. 3, Iss. 1
Open Access

Artificial intelligence-driven radiomics: developing valuable radiomics signatures with the use of artificial intelligence
Konstantinos Vrettos, Matthaios Triantafyllou, Kostas Marias, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 3

AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation
Heather M. Selby, Young‐Ik Son, Vipul Sheth, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access

“Application of CT radiomics in brain metastasis of lung cancer: A systematic review and meta-analysis”
Ting Li, Tian Gan, Jingting Wang, et al.
Clinical Imaging (2024) Vol. 114, pp. 110275-110275
Closed Access | Times Cited: 1

Study on the classification of benign and malignant breast lesions using a multi-sequence breast MRI fusion radiomics and deep learning model
Wenjiang Wang, Jiaojiao Li, Zimeng Wang, et al.
European Journal of Radiology Open (2024) Vol. 13, pp. 100607-100607
Closed Access

Study of prediction model for high-grade meningioma using fractal geometry combined with radiological features
Zhaoxin Fan, Aili Gao, Jie Zhang, et al.
Journal of Neuro-Oncology (2024)
Closed Access

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