OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Structured reporting in radiology: a systematic review to explore its potential
J. Martijn Nobel, Koos van Geel, Simon G. F. Robben
European Radiology (2021) Vol. 32, Iss. 4, pp. 2837-2854
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

ESR paper on structured reporting in radiology—update 2023
Daniel Pinto dos Santos, Elmar Kotter, Peter Mildenberger, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 28

ChatGPT and assistive AI in structured radiology reporting: A systematic review
Ethan Sacoransky, Benjamin Y. M. Kwan, Donald Soboleski
Current Problems in Diagnostic Radiology (2024) Vol. 53, Iss. 6, pp. 728-737
Open Access | Times Cited: 12

Perceptions of radiologists on structured reporting for cancer imaging—a survey by the European Society of Oncologic Imaging (ESOI)
Doris Leithner, Evis Sala, Emanuele Neri, et al.
European Radiology (2024) Vol. 34, Iss. 8, pp. 5120-5130
Open Access | Times Cited: 10

Open-source Large Language Models can Generate Labels from Radiology Reports for Training Convolutional Neural Networks
Fares Al Mohamad, Leonhard Donle, Felix J. Dorfner, et al.
Academic Radiology (2025)
Open Access | Times Cited: 1

Implementation of structured reporting in clinical routine: a review of 7 years of institutional experience
Tobias Jorg, Moritz C. Halfmann, Gordon Arnhold, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 20

Large language models for structured reporting in radiology: past, present, and future
Felix Busch, Lena Hoffmann, Daniel Santos, et al.
European Radiology (2024)
Open Access | Times Cited: 8

Structured reporting of computed tomography in the polytrauma patient assessment: a Delphi consensus proposal
Vincenza Granata, Roberta Fusco, Diletta Cozzi, et al.
La radiologia medica (2023) Vol. 128, Iss. 2, pp. 222-233
Open Access | Times Cited: 15

A scoping review of large language model based approaches for information extraction from radiology reports
Daniel Reichenpfader, Henning Müller, Kerstin Denecke
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 5

Deep learning approaches to automatic radiology report generation: A systematic review
Yuxiang Liao, Hantao Liu, ‪Irena Spasić
Informatics in Medicine Unlocked (2023) Vol. 39, pp. 101273-101273
Open Access | Times Cited: 11

Large language model-based information extraction from free-text radiology reports: a scoping review protocol
Daniel Reichenpfader, Henning Müller, Kerstin Denecke
BMJ Open (2023) Vol. 13, Iss. 12, pp. e076865-e076865
Open Access | Times Cited: 11

Impact of Standardized Reporting Systems on Patient Experience in Radiology
Igor Toker, S Jansen, D. Lorenz
Journal of Patient Experience (2025) Vol. 12
Open Access

Multi-modal dataset creation for federated learning with DICOM-structured reports
Malte Tölle, Lukas Burger, Halvar Kelm, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Open Access

Artificial intelligence in radiology reports: Is it the pen or the author?
Guillaume Herpe, Maxime Ronot, Jean‐Pierre Tasu, et al.
Diagnostic and Interventional Imaging (2025)
Closed Access

Structured reporting of gliomas based on VASARI criteria to improve report content and consistency
Olivia Goodkin, Jiaming Wu, Hugh Pemberton, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access

Characterizing the Preferred Reporting Methods in Neuroradiology: A Multispecialty Survey
Jimin Lee, Paula Alcaide‐Leon
Canadian Association of Radiologists Journal (2025)
Closed Access

Bootstrapping BI-RADS classification using large language models and transformers in breast magnetic resonance imaging reports
Yuxin Liu, Xiang Zhang, Weiwei Cao, et al.
Visual Computing for Industry Biomedicine and Art (2025) Vol. 8, Iss. 1
Open Access

GPT-4o in radiology: In-context learning based automatic generation of radiology impressions
Mohammed A. Mahyoub, Yong Wang, Mohammad T. Khasawneh
Natural Language Processing Journal (2025), pp. 100145-100145
Open Access

Do MRI structured reports with FIGO classifications of leiomyomas contain adequate information for clinical decision making?
Laura Tordjman, Haleh Amirian, Alexandra L. Alvarez, et al.
International Journal of Gynecology & Obstetrics (2025)
Open Access

Enhanced CT and MRI Focal Bone Tumor Classification with Machine Learning–based Stratification: A Multicenter Retrospective Study
Astrée Lemore, Nora Vogt, Julien Oster, et al.
Radiology (2025) Vol. 315, Iss. 1
Closed Access

The role of iodinated contrast media in computed tomography structured Reporting and Data Systems (RADS): a narrative review
Marco Parillo, Aart J. van der Molen, Patrick Asbach, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 11, pp. 7621-7631
Open Access | Times Cited: 10

The SCIEPR checklist: A tool for standardizing chest X-ray interpretation in resource-constrained settings – A pilot study
Khethiwe Margaret Sethole, Nombeko Mshunqane
Radiography (2025) Vol. 31, Iss. 3, pp. 102912-102912
Open Access

Synoptic Reporting for Pretreatment CT Examination in Patients With Advanced Ovarian Cancer: Impact on Documentation of Disease Sites and Physician Satisfaction
Pamela Causa Andrieu, Ines Nikolovski, Krishna Juluru, et al.
American Journal of Roentgenology (2023) Vol. 221, Iss. 6, pp. 760-772
Open Access | Times Cited: 9

Automatic Classification of Tumor Response From Radiology Reports With Rule-Based Natural Language Processing Integrated Into the Clinical Oncology Workflow
Géry Laurent, Franck Craynest, Maxime Thobois, et al.
JCO Clinical Cancer Informatics (2023), Iss. 7
Open Access | Times Cited: 8

Towards Unified Multi-modal Dataset Creation for Deep Learning Utilizing Structured Reports
Malte Tölle, Lukas Burger, Halvar Kelm, et al.
Informatik aktuell (2024), pp. 130-135
Closed Access | Times Cited: 2

Page 1 - Next Page

Scroll to top