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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:

Enhancing radiomics and Deep Learning systems through the standardization of medical imaging workflows
Miriam Cobo, Pablo Menéndez Fernández‐Miranda, Gorka Bastarrika, et al.
Scientific Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Diagnostic performance of microRNAs for predicting response to transarterial chemoembolization in hepatocellular carcinoma: a meta-analysis
Tianyi Huang, Jing Chen, Pengfei Zhang, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access | Times Cited: 1
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: 1
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology
Elena Fountzilas, Tillman Pearce, Mehmet A. Baysal, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access | Times Cited: 1
Quality of radiomics research: comprehensive analysis of 1574 unique publications from 89 reviews
Burak Koçak, Ali Keleş, Fadime Köse, et al.
European Radiology (2024)
Closed Access | Times Cited: 8
Exploring radiomics research quality scoring tools: a comparative analysis of METRICS and RQS
Burak Koçak, Tugba Akinci D’Antonoli, Renato Cuocolo
Diagnostic and Interventional Radiology (2024)
Open Access | Times Cited: 7
High‐throughput molecular assays for inclusion in personalised oncology trials – State‐of‐the‐art and beyond
Anders Edsjö, Hege G. Russnes, Janne Lehtiö, et al.
Journal of Internal Medicine (2024) Vol. 295, Iss. 6, pp. 785-803
Open Access | Times Cited: 5
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
From images to clinical insights: an educational review on radiomics in lung diseases
C. Magnin, David Lauer, Michael Ammeter, et al.
Breathe (2025) Vol. 21, Iss. 1, pp. 230225-230225
Open Access
Image quality in radiomics for enhanced medical diagnostics: A metrology overview with a critical approach
Francesco Felicetti, Sandra Costanzo, Domenico Luca Carní, et al.
Measurement Sensors (2025), pp. 101656-101656
Open Access
Decoding breast cancer imaging trends: the role of AI and radiomics through bibliometric insights
Xinyu Wu, Yufei Xia, Xinjing Lou, et al.
Breast Cancer Research (2025) Vol. 27, Iss. 1
Open Access
Imaging genomics of cancer: a bibliometric analysis and review
Xinyi Gou, Aobo Feng, Caizhen Feng, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Advanced diagnostic methods in oral and maxillofacial malignant neoplasms
Davit Mathevosyan, Garnik Avetisyan, Gagik Hakobyan
Deleted Journal (2025) Vol. 2, Iss. 1
Open Access
Unveiling the Complexity of Medical Imaging through Deep Learning Approaches
Novsheena Rasool, Javaid Iqbal Bhat
Chaos Theory and Applications (2023) Vol. 5, Iss. 4, pp. 267-280
Open Access | Times Cited: 10
Predicting postinterventional rupture of intracranial aneurysms using arteriography-derived radiomic features after pipeline embolization
Chao Ma, Shikai Liang, Fei Liang, et al.
Frontiers in Neurology (2024) Vol. 15
Open Access | Times Cited: 2
ChatGPT as an effective tool for quality evaluation of radiomics research
İsmail Meşe, Burak Koçak
European Radiology (2024)
Closed Access | Times Cited: 2
Radiomics Studies on Ischemic Stroke and Carotid Atherosclerotic Disease: A Reporting Quality Assessment
Ann‐Marie Beaudoin, J.K. Ho, Adrienne Lam, et al.
Canadian Association of Radiologists Journal (2024) Vol. 75, Iss. 3, pp. 549-557
Open Access | Times Cited: 1
Oncologic Applications of Artificial Intelligence and Deep Learning Methods in CT Spine Imaging—A Systematic Review
Wilson Ong, Aric Lee, Wei Chuan Tan, et al.
Cancers (2024) Vol. 16, Iss. 17, pp. 2988-2988
Open Access | Times Cited: 1
Integrating radiomic and 3D autoencoder-based features for Non-Small Cell Lung Cancer survival analysis
Mário Ferretti, Valentina Corino
Computer Methods and Programs in Biomedicine (2024) Vol. 258, pp. 108496-108496
Closed Access | Times Cited: 1
Deep Learning for Cardiac Imaging: Focus on Myocardial Diseases: A Narrative Review
Theodoros Tsampras, Theodora Karamanidou, Giorgos Papanastasiou, et al.
Hellenic Journal of Cardiology (2024)
Open Access | Times Cited: 1
Predicting lymph node metastasis in thyroid cancer: systematic review and meta-analysis on the CT/MRI-based radiomics and deep learning models
Parya Valizadeh, Payam Jannatdoust, Delaram J. Ghadimi, et al.
Clinical Imaging (2024), pp. 110392-110392
Closed Access | Times Cited: 1
Chest Computed Tomography Radiomics for Determining Macrolide Resistance-Associated Gene Mutation Status in Children with Mycoplasma pneumoniae Pneumonia: A Two-Center Study
Haoru Wang, Leilei Zhao, Yanlin Yang, et al.
Academic Radiology (2024) Vol. 31, Iss. 9, pp. 3774-3782
Closed Access
Radiomics in oncology: A mini-review of principles, applications and challenges
Sahand Karimzadhagh, Elahe Abbaspour
Medical Imaging Process & Technology (2024) Vol. 7, Iss. 1
Open Access
Soft Sensing Modeling of Penicillin Fermentation Process Based on Local Selection Ensemble Learning
Feixiang Huang, Longhao Li, Chuanxiang Du, et al.
Research Square (Research Square) (2024)
Closed Access
Magnetic resonance imaging radiomics-based prediction of severe inflammatory response in locally advanced rectal cancer patients after neoadjuvant radiochemotherapy
Li Chen, Wenchao Zhu, Wei Zhang, et al.
Langenbeck s Archives of Surgery (2024) Vol. 409, Iss. 1
Open Access
Integrating AI and Human Expertise: Exploring the Role of Radiomics in Multidisciplinary Tumor Boards
Suhana Fatima Shahid, Tooba Ali, Agha Muhammad Hammad Khan, et al.
Applied Radiation Oncology (2024) Vol. 13, Iss. 2, pp. 5-14
Closed Access
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