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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.

Requested Article:

Diagnostic Performance of Automated Breast Ultrasound in Differentiating Benign and Malignant Breast Masses in Asymptomatic Women: A Comparison Study With Handheld Ultrasound
Lin Niu, Lingyun Bao, Luo-Qian Zhu, et al.
Journal of Ultrasound in Medicine (2019) Vol. 38, Iss. 11, pp. 2871-2880
Closed Access | Times Cited: 22

Showing 22 citing articles:

Ultrasound for Breast Cancer Screening in Resource-Limited Settings: Current Practice and Future Directions
Qing Dan, Tingting Zheng, Li Liu, et al.
Cancers (2023) Vol. 15, Iss. 7, pp. 2112-2112
Open Access | Times Cited: 25
Screening Breast Ultrasound Using Handheld or Automated Technique in Women with Dense Breasts
Wendie A. Berg, Athina Vourtsis
Journal of Breast Imaging (2019) Vol. 1, Iss. 4, pp. 283-296
Open Access | Times Cited: 74
Pros and Cons for Automated Breast Ultrasound (ABUS): A Narrative Review
Ioana Bene, Anca Ciurea, Cristiana Ciortea, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 8, pp. 703-703
Open Access | Times Cited: 52
Combining ultrasound gray scale ratio and BI-RADS grading for differentiating benign and malignant breast masses
Pan Wang, Fu-Jian Wang, Li-hua Xiao, et al.
Clinical Hemorheology and Microcirculation (2025)
Closed Access
Prediction model of axillary lymph node status using automated breast ultrasound (ABUS) and ki-67 status in early-stage breast cancer
Qiucheng Wang, Bo Li, Zhao Liu, et al.
BMC Cancer (2022) Vol. 22, Iss. 1
Open Access | Times Cited: 15
The cost-effectiveness of risk-stratified breast cancer screening in the UK
Harry Hill, Benjamin Kearns, Nora Pashayan, et al.
British Journal of Cancer (2023) Vol. 129, Iss. 11, pp. 1801-1809
Open Access | Times Cited: 9
Automatic breast ultrasound: state of the art and future perspectives
Luca Nicosia, Federica Ferrari, Anna Carla Bozzini, et al.
ecancermedicalscience (2020) Vol. 14
Open Access | Times Cited: 20
Automated Breast Ultrasound: Technical Aspects, Impact on Breast Screening, and Future Perspectives
Iris Allajbeu, Sarah Hickman, Nicholas Roy Payne, et al.
Current Breast Cancer Reports (2021) Vol. 13, Iss. 3, pp. 141-150
Open Access | Times Cited: 16
Evaluation of Diagnostic Performance of Automatic Breast Volume Scanner Compared to Handheld Ultrasound on Different Breast Lesions: A Systematic Review
Shahad A. Ibraheem, Rozi Mahmud, Suraini Mohamad Saini, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 541-541
Open Access | Times Cited: 10
Automated breast ultrasound: Supplemental screening for average-risk women with dense breasts
Georgia Giakoumis Spear, Ellen B. Mendelson
Clinical Imaging (2020) Vol. 76, pp. 15-25
Closed Access | Times Cited: 16
Diagnostic Performance Using Automated Breast Ultrasound System for Breast Cancer in Chinese Women Aged 40 Years or Older: A Comparative Study
Li Zhang, Lingyun Bao, Yanjuan Tan, et al.
Ultrasound in Medicine & Biology (2019) Vol. 45, Iss. 12, pp. 3137-3144
Closed Access | Times Cited: 14
Telemammography: Technical Advances Improve Patient Access in Breast Care
Hannah Chung, Jay R. Parikh
Journal of Breast Imaging (2020) Vol. 2, Iss. 2, pp. 152-156
Open Access | Times Cited: 10
Comparison of 3D-Automated Breast Ultrasound With Handheld Breast Ultrasound Regarding Detection and BI-RADS Characterization of Lesions in Dense Breasts: A Study of 592 Cases
Nilgün Güldoğan, Ebru Yılmaz, Aydan Arslan, et al.
Academic Radiology (2021) Vol. 29, Iss. 8, pp. 1143-1148
Closed Access | Times Cited: 9
Construct Validity and Reproducibility of Handheld Ultrasound Devices in Carotid Artery Diameter Measurement
Loes H. Willems, Jenske J.M. Vermeulen, Anouk Wiegerinck, et al.
Ultrasound in Medicine & Biology (2022) Vol. 49, Iss. 3, pp. 866-874
Open Access | Times Cited: 3
Diagnostic Performance of Prototype Handheld Ultrasound According to the Fifth Edition of BI-RADS for Breast Ultrasound Compared with Automated Breast Ultrasound among Females with Positive Lumps
Shahad A. Ibraheem, Rozi Mahmud, Suraini Mohamad Saini, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1065-1065
Open Access | Times Cited: 1
Automated breast ultrasound in breast cancer screening of mammographically dense breasts: added values
Walaa Gouda, Rabab Yasin, Mohamed Ibrahim Yasin, et al.
The Egyptian Journal of Radiology and Nuclear Medicine (2024) Vol. 55, Iss. 1
Open Access
Detection and diagnosis of automated breast ultrasound in patients with BI-RADS category 4 microcalcifications: a retrospective study
Lifang Yu, Chaochao Dai, Luo-Xi Zhu, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Associating Automated Breast Ultrasound (ABUS) and Digital Breast Tomosynthesis (DBT) with Full-Field Digital Mammography (FFDM) in Clinical Practice in Cases of Women with Dense Breast Tissue
Ioana Bene, Anca Ciurea, Ștefan Cristian Vesa, et al.
Diagnostics (2022) Vol. 12, Iss. 2, pp. 459-459
Open Access | Times Cited: 1
Efficiency and impact factors of anatomical intelligence for breast and hand‐held ultrasound in lesion detection
Chaochao Dai, Lingyun Bao, Hongju Yan, et al.
Journal of Clinical Ultrasound (2023) Vol. 51, Iss. 6, pp. 1039-1047
Open Access
Role of three-dimensional automated breast ultrasound as a breast screening tool in additional to mammography
Hadeer S. AL-Ansary Noaman, Sherine Kadry Amin, Mohamed I. A. Othman, et al.
The Egyptian Journal of Surgery (2023) Vol. 42, Iss. 1, pp. 212-220
Closed Access
Efficiency And Impact Factors of Anatomical Intelligence For Breast And Hand-Held Ultrasound In Lesion Screening: A Pilot Study
Chaochao Dai, Lingyun Bao, Hongju Yan, et al.
Research Square (Research Square) (2022)
Open Access
Automated Breast Ultrasound: The Present and Future
Hyun Jo Youn, Ha Rim Ahn, Sang Yull Kang, et al.
Journal of Surgical Ultrasound (2022) Vol. 9, Iss. 2, pp. 23-29
Open Access
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