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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.

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Showing 25 citing articles:

Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches
Wei-Chung Shia, Lisheng Lin, Dar‐Ren Chen
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 29
The comparative study of color doppler flow imaging, superb microvascular imaging, contrast-enhanced ultrasound micro flow imaging in blood flow analysis of solid renal mass
Yiran Mao, Jie Mu, Jing Zhao, et al.
Cancer Imaging (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 21
Role of Superb Microvascular Imaging in Differentiating Between Malignant and Benign Solid Breast Masses
Xuehong Diao, Jia Zhan, Lin Chen, et al.
Clinical Breast Cancer (2020) Vol. 20, Iss. 6, pp. e786-e793
Closed Access | Times Cited: 30
The diagnostic value of contrast-enhanced ultrasound and superb microvascular imaging in differentiating benign from malignant solid breast lesions: A systematic review and meta-analysis
Yi Zhang, Xiaofeng Sun, Jinɡjinɡ Li, et al.
Clinical Hemorheology and Microcirculation (2022) Vol. 81, Iss. 2, pp. 109-121
Closed Access | Times Cited: 13
Using a combination of superb microvascular imaging and other auxiliary ultrasound techniques to increase the accuracy of gray-scale ultrasound for breast masses
Mahboubeh Abedi, Leyla Sahebi, Bita Eslami, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 2
Diagnostic Value of Superb Microvascular Imaging in Differentiating Benign and Malignant Breast Tumors: A Systematic Review and Meta-Analysis
Jiaping Feng, Jianghao Lu, Chunchun Jin, et al.
Diagnostics (2022) Vol. 12, Iss. 11, pp. 2648-2648
Open Access | Times Cited: 11
A Novel Nomogram Based on Imaging Biomarkers of Shear Wave Elastography, Angio Planewave Ultrasensitive Imaging, and Conventional Ultrasound for Preoperative Prediction of Malignancy in Patients with Breast Lesions
Guoqiang Guo, Jiaping Feng, Chunchun Jin, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 540-540
Open Access | Times Cited: 5
Diagnostic accuracy of ultrasound superb microvascular imaging for breast tumor: a meta-analysis
Lin Zhong, Cong Wang
Medical Ultrasonography (2020) Vol. 22, Iss. 3, pp. 313-313
Open Access | Times Cited: 13
Microvascular imaging: new Doppler technology for assessing focal liver lesions. Is it useful?
Amanda Wilson, Adrian Lim
Clinical Radiology (2022) Vol. 77, Iss. 12, pp. e807-e820
Closed Access | Times Cited: 9
Superb Microvascular Imaging for the Differentiation of Benign and Malignant Breast Lesions: A System Review and Meta‐Analysis
Si‐han Chen, Xiao‐zhen Xiang, Pengfei Che, et al.
Journal of Ultrasound in Medicine (2022) Vol. 42, Iss. 7, pp. 1385-1399
Closed Access | Times Cited: 9
Predicting female breast cancer by artificial intelligence: Combining clinical information and BI-RADS ultrasound descriptors
Wen-Jia Shen, Haixia Zhou, Ye He, et al.
WFUMB Ultrasound Open (2023) Vol. 1, Iss. 2, pp. 100013-100013
Open Access | Times Cited: 4
Prospective analysis of breast masses using the combined score for quantitative ultrasonography parameters
Eun Ji Lee, Yun‐Woo Chang
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 7
Artificial intelligence for ultrasound microflow imaging in breast cancer diagnosis
Na Lae Eun, Eunjung Lee, Ah Young Park, et al.
Ultraschall in der Medizin - European Journal of Ultrasound (2024) Vol. 45, Iss. 04, pp. 412-417
Closed Access | Times Cited: 1
Breast metastases from primary lung cancer: a retrospective case series on clinical, ultrasonographic, and immunohistochemical features
Bo Wang, Ying Jiang, Shi Yu Li, et al.
Translational Lung Cancer Research (2021) Vol. 10, Iss. 7, pp. 3226-3235
Open Access | Times Cited: 9
The application value of CDFI and SMI combined with serological markers in distinguishing benign and malignant thyroid nodules
Fang Li, Wei Sun, Lihua Liu, et al.
Clinical & Translational Oncology (2022) Vol. 24, Iss. 11, pp. 2200-2209
Closed Access | Times Cited: 5
Diagnostic Accuracy of Ultrasound Findings in Suspected Breast Cancer Patients: A Tertiary Hospital's Experience
Adrian Hoti, Alketa Ymeri, Edmond Gashi, et al.
Universal Journal of Public Health (2023) Vol. 11, Iss. 4, pp. 415-421
Open Access | Times Cited: 2
Multimodal ultrasound imaging for diagnostic differentiation of sclerosing adenosis from invasive ductal carcinoma
Wen Li, Yan Zheng, Haizhen Liu, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 14, Iss. 1, pp. 877-887
Open Access | Times Cited: 2
Application of a second opinion ultrasound in Breast Imaging Reporting and Data System 4A cases: can immediate biopsy be avoided?
Yantao Cai, Chenfang Zhu, Qianqian Chen, et al.
Journal of International Medical Research (2021) Vol. 49, Iss. 6, pp. 030006052110244-030006052110244
Open Access | Times Cited: 4
Ultrasound-Based Noncontrast Microvascular Imaging for Evaluation of Breast Lesions: Imaging Techniques and Review of Diagnostic Criteria
Namita Mohindra, Neetu Soni
Indian journal of radiology and imaging - new series/Indian journal of radiology and imaging/Indian Journal of Radiology & Imaging (2024) Vol. 34, Iss. 04, pp. 702-713
Open Access
Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations
Hee Jeong Kim, Hak Hee Kim, Ki Hwan Kim, et al.
European Radiology (2024) Vol. 34, Iss. 10, pp. 6320-6331
Closed Access
Integrating the incident angle of main vessel of breast nodule with BI-RADS can improve the efficacy of breast malignancy evaluation
Kailiang Chen, Size Wu
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Consistency Analysis of CTLM Imaging and Mammography in the Diagnosis of Breast Tumor Lesions
Zhangjun Song, Huxia Wang, Xiaorui Feng, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 1
Translating new breast ultrasound techniques into clinical practice: evaluating their intended uses and describing other unexpected uses for them
Eugene Ong
Translational Breast Cancer Research (2023) Vol. 4, pp. 23-23
Open Access
Benefits of Superb Microvascular Imaging in Vascularity Evaluation of Breast Masses: Diagnostic Performance Comparision with Color and Power Doppler Imaging
Hande Uslu, Mesude Tosun, Burcu Alparslan, et al.
Kocaeli Üniversitesi Sağlık Bilimleri Dergisi (2022) Vol. 8, Iss. 1, pp. 59-64
Open Access
Diagnostic Performance of Superb Microvascular Imaging for Breast Masses: A Systematic Review and Meta-analysis
MD Zehui Fu, MD Siqi Wang, MD Jian Zhang, et al.
Advanced ultrasound in diagnosis and therapy (2022) Vol. 6, Iss. 3, pp. 95-95
Open Access
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