Open Access Helper

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:

Long-Term Performance of an Image-Based Short-Term Risk Model for Breast Cancer
Mikael Eriksson, Kamila Czene, Celine M. Vachon, et al.
Journal of Clinical Oncology (2023) Vol. 41, Iss. 14, pp. 2536-2545
Open Access | Times Cited: 22

Showing 22 citing articles:

The Lancet Breast Cancer Commission
Charlotte E. Coles, Helena Earl, Benjamin O. Anderson, et al.
The Lancet (2024) Vol. 403, Iss. 10439, pp. 1895-1950
Open Access | Times Cited: 53
Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions
William Lotter, Michael J. Hassett, Nikolaus Schultz, et al.
Cancer Discovery (2024) Vol. 14, Iss. 5, pp. 711-726
Open Access | Times Cited: 32
Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions
Clayton R. Taylor, Natasha Monga, Candise Johnson, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2041-2041
Open Access | Times Cited: 32
Breast cancer risk prediction using machine learning: a systematic review
Sadam Hussain, Mansoor Ali, Usman Naseem, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 12
New Frontiers in Breast Cancer Imaging: The Rise of AI
Stephanie Shamir, Arielle Sasson, Laurie R. Margolies, et al.
Bioengineering (2024) Vol. 11, Iss. 5, pp. 451-451
Open Access | Times Cited: 9
Artificial Intelligence and Breast Cancer Management: From Data to the Clinic
Kaixiang Feng, Zongbi Yi, Binghe Xu
Cancer Innovation (2025) Vol. 4, Iss. 2
Open Access
Chirurgie prophylactique et oncogénétique : quel impact de l’intelligence artificielle ?
Olivier Caron
Bulletin du Cancer (2025) Vol. 112, Iss. 3, pp. 241-250
Closed Access
Artificial Intelligence Applications in Breast Imaging: Current Status and Future Directions
Clayton R. Taylor, Natasha Monga, Candise Johnson, et al.
(2023)
Open Access | Times Cited: 9
European validation of an image-derived AI-based short-term risk model for individualized breast cancer screening—a nested case-control study
Mikael Eriksson, Marta Román, Axel Gräwingholt, et al.
The Lancet Regional Health - Europe (2023) Vol. 37, pp. 100798-100798
Open Access | Times Cited: 8
Patterns and Predictors of Referral for Screening Breast MRI: A Mixed-Methods Study
Claire C. Conley, Nora Cheraghi, Alaina Anderson, et al.
Journal of Women s Health (2024) Vol. 33, Iss. 5, pp. 639-649
Closed Access | Times Cited: 2
Artificial Intelligence-Powered Imaging Biomarker Based on Mammography for Breast Cancer Risk Prediction
Eun Kyung Park, Hyeonsoo Lee, Minjeong Kim, et al.
Diagnostics (2024) Vol. 14, Iss. 12, pp. 1212-1212
Open Access | Times Cited: 2
Deep Learning Analysis of Mammography for Breast Cancer Risk Prediction in Asian Women
Hayoung Kim, Jihe Lim, Hyug‐Gi Kim, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2247-2247
Open Access | Times Cited: 6
suppClinical guidelines for the management of mammographic density: A systematic review of breast screening guidelines worldwide
Jennifer Isautier, Nehmat Houssami, Claudia Hadlow, et al.
JNCI Cancer Spectrum (2024) Vol. 8, Iss. 6
Open Access | Times Cited: 1
Repeated measures of mammographic density and texture to evaluate prediction and risk of breast cancer: a systematic review of the methods used in the literature
Akila Anandarajah, Yongzhen Chen, C Stoll, et al.
Cancer Causes & Control (2023) Vol. 34, Iss. 11, pp. 939-948
Open Access | Times Cited: 4
Predicting up to 10 year breast cancer risk using longitudinal mammographic screening history
Xin Wang, Tao Tan, Yuan Gao, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 4
Braix Risk Score: An Automated Mammogram-Based Biomarker for Breast Cancer Created by Applying Artificial Intelligence
John L. Hopper, Tuong L. Nguyen, Michael S. Elliott, et al.
(2024)
Closed Access | Times Cited: 1
The scienthetic method: from Aristotle to AI and the future of medicine
Karim I. Budhwani
British Journal of Cancer (2024)
Closed Access
Ordinal Learning: Longitudinal Attention Alignment Model for Predicting Time to Future Breast Cancer Events from Mammograms
Xin Wang, Tao Tan, Yuan Gao, et al.
Lecture notes in computer science (2024), pp. 155-165
Closed Access
Risk stratification in breast screening workshop
A. W. Anderson, Cristina Visintin, Antonis C. Antoniou, et al.
BMC Proceedings (2024) Vol. 18, Iss. S19
Open Access
Development and Validation of Dynamic 5-Year Breast Cancer Risk Model Using Repeated Mammograms
Shu Jiang, Debbie L. Bennett, Bernard Rosner, et al.
JCO Clinical Cancer Informatics (2024), Iss. 8
Closed Access
Rethinking Risk Modeling with Machine Learning
Adam Yala, Kevin S. Hughes
Annals of Surgical Oncology (2023) Vol. 30, Iss. 12, pp. 6950-6952
Open Access | Times Cited: 1
Breast cancer risk prediction using Tyrer-Cuzick algorithm with an 18-SNPs polygenic risk score in a European population with below-average breast cancer incidence
Tjaša Oblak, Petra Škerl, Benjamin J. Narang, et al.
The Breast (2023) Vol. 72, pp. 103590-103590
Open Access
Page 1

Scroll to top