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:
Development and internal validation of a conventional ultrasound-based nomogram for predicting malignant nonmasslike breast lesions
Xian Lin, Shulian Zhuang, Shuang Yang, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 12, pp. 5452-5461
Open Access | Times Cited: 7
Xian Lin, Shulian Zhuang, Shuang Yang, et al.
Quantitative Imaging in Medicine and Surgery (2022) Vol. 12, Iss. 12, pp. 5452-5461
Open Access | Times Cited: 7
Showing 7 citing articles:
Multiregional radiomic model for breast cancer diagnosis: value of ultrasound-based peritumoral and parenchymal radiomics
Suping Guo, Xingzhi Huang, Chao Xu, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 5, pp. 3127-3139
Open Access | Times Cited: 5
Suping Guo, Xingzhi Huang, Chao Xu, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 5, pp. 3127-3139
Open Access | Times Cited: 5
Ultrasound-based prediction of preoperative core biopsy categories in solid breast tumor using machine learning
Ting Liang, Junhui Shen, Jiexin Wang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 4, pp. 2634-2646
Open Access | Times Cited: 4
Ting Liang, Junhui Shen, Jiexin Wang, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 4, pp. 2634-2646
Open Access | Times Cited: 4
A comparative study on the features of breast sclerosing adenosis and invasive ductal carcinoma via ultrasound and establishment of a predictive nomogram
Yuan Li, Xiu-liang Wei, Kun-kun Pang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
Yuan Li, Xiu-liang Wei, Kun-kun Pang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
Development and validation of a prediction model for the diagnosis of breast cancer based on clinical and ultrasonic features
Xuan He, Yuanyuan Lu, Junlai Li
Gland Surgery (2023) Vol. 12, Iss. 6, pp. 736-748
Open Access | Times Cited: 2
Xuan He, Yuanyuan Lu, Junlai Li
Gland Surgery (2023) Vol. 12, Iss. 6, pp. 736-748
Open Access | Times Cited: 2
Development and Validation of a Nomogram for Predicting Breast Malignancy in Male Patients Based on Clinical and Ultrasound Features
Weihong Dong, Gang Wu, Nan Zhao, et al.
Current Radiopharmaceuticals (2024) Vol. 17, Iss. 3, pp. 266-275
Closed Access
Weihong Dong, Gang Wu, Nan Zhao, et al.
Current Radiopharmaceuticals (2024) Vol. 17, Iss. 3, pp. 266-275
Closed Access
Nomogram based on multimodal ultrasound features for evaluating breast nonmass lesions: a single center study
Lifang Yu, Luo-Xi Zhu, Chaochao Dai, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Lifang Yu, Luo-Xi Zhu, Chaochao Dai, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
