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:

Real-time automatic tumor segmentation for ultrasound-guided breast-conserving surgery navigation
Zoe Hu, Paola V. Nasute Fauerbach, Chris Yeung, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 17, Iss. 9, pp. 1663-1672
Closed Access | Times Cited: 6

Showing 6 citing articles:

Integrating AI into Breast Reconstruction Surgery: Exploring Opportunities, Applications, and Challenges
Andrew Gorgy, Hong Hao Xu, Hassan ElHawary, et al.
Plastic Surgery (2024)
Open Access | Times Cited: 5

Robot-assisted ultrasound probe calibration for image-guided interventions
Atharva Paralikar, Pavan Mantripragada, Trong Nguyen, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Closed Access

The Down-Shifting Luminescence of Rare-Earth Nanoparticles for Multimodal Imaging and Photothermal Therapy of Breast Cancer
Tingting Gao, Siqi Gao, Yaling Li, et al.
Biology (2024) Vol. 13, Iss. 3, pp. 156-156
Open Access | Times Cited: 2

Deep learning based ultrasonic visualization of distal humeral cartilage for image-guided therapy: a pilot validation study
Wei Zhao, Xiuyun Su, Yao Guo, et al.
Quantitative Imaging in Medicine and Surgery (2023) Vol. 13, Iss. 8, pp. 5306-5320
Open Access | Times Cited: 4

Percutaneous nephrostomy needle guidance using real-time 3D anatomical visualization with live ultrasound segmentation
Andrew S. Kim, Chris Yeung, R. Szabó, et al.
(2024) Vol. 14, pp. 26-26
Closed Access | Times Cited: 1

From quantitative metrics to clinical success: assessing the utility of deep learning for tumor segmentation in breast surgery
Chris Yeung, Tamás Ungi, Zoe Hu, et al.
International Journal of Computer Assisted Radiology and Surgery (2024) Vol. 19, Iss. 6, pp. 1193-1201
Closed Access | Times Cited: 1

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