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 Ki-67 Prediction in Breast Cancer: Integrating Intratumoral and Peritumoral Radiomics From Automated Breast Ultrasound via Machine Learning
Fang Li, Tong-wei Zhu, Lin Miao, et al.
Academic Radiology (2024) Vol. 31, Iss. 7, pp. 2663-2673
Closed Access | Times Cited: 5
Fang Li, Tong-wei Zhu, Lin Miao, et al.
Academic Radiology (2024) Vol. 31, Iss. 7, pp. 2663-2673
Closed Access | Times Cited: 5
Showing 5 citing articles:
A radiomics-based interpretable machine learning model to predict the HER2 status in bladder cancer: a multicenter study
Zongjie Wei, Xuesong Bai, Yingjie Xv, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Zongjie Wei, Xuesong Bai, Yingjie Xv, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Reproducibility of methodological radiomics score (METRICS): an intra- and inter-rater reliability study endorsed by EuSoMII
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Koçak, et al.
European Radiology (2025)
Open Access
Tugba Akinci D’Antonoli, Armando Ugo Cavallo, Burak Koçak, et al.
European Radiology (2025)
Open Access
Artificial intelligence-based automated breast ultrasound radiomics for breast tumor diagnosis and treatment: a narrative review
Yinglin Guo, Ning Li, Chonghui Song, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Yinglin Guo, Ning Li, Chonghui Song, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Radiomics Analysis of Intratumoral and Various Peritumoral Regions From Automated Breast Volume Scanning for Accurate Ki-67 Prediction in Breast Cancer Using Machine Learning
Bin Hu, Yanjun Xu, Huiling Gong, et al.
Academic Radiology (2024) Vol. 32, Iss. 2, pp. 651-663
Open Access | Times Cited: 3
Bin Hu, Yanjun Xu, Huiling Gong, et al.
Academic Radiology (2024) Vol. 32, Iss. 2, pp. 651-663
Open Access | Times Cited: 3
Texture feature differentiation of glioblastoma and solitary brain metastases based on tumor and tumor-brain interface
Yini Chen, Hongsen Lin, Jiayi Sun, et al.
Academic Radiology (2024)
Open Access | Times Cited: 2
Yini Chen, Hongsen Lin, Jiayi Sun, et al.
Academic Radiology (2024)
Open Access | Times Cited: 2
Photoacoustic-Based Intra- and Peritumoral Radiomics Nomogram for the Preoperative Prediction of Expression of Ki-67 in Breast Malignancy
Zhibin Huang, Mengyun Wang, Yao Kong, et al.
Academic Radiology (2024)
Closed Access
Zhibin Huang, Mengyun Wang, Yao Kong, et al.
Academic Radiology (2024)
Closed Access
