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 15 citing articles:

Biopsy or Follow-up: AI Improves the Clinical Strategy of US BI-RADS 4A Breast Nodules Using a Convolutional Neural Network
Mei Yi, Yue Lin, Zehui Lin, et al.
Clinical Breast Cancer (2024) Vol. 24, Iss. 5, pp. e319-e332.e2
Closed Access | Times Cited: 6

Characteristics and risk factors of axillary lymph node metastasis of microinvasive breast cancer
Soo Young Lee, Tae-Kyung Yoo, Jisun Kim, et al.
Breast Cancer Research and Treatment (2024) Vol. 206, Iss. 3, pp. 495-507
Open Access | Times Cited: 4

Breast Cancer Prognosis Using Machine Learning and Artificial Intelligence: A Review of Predictive Models in Breast Cancer Metastasis
João Rocha Rocha-Gomes, Inês Fortuna
Smart innovation, systems and technologies (2025), pp. 103-113
Closed Access

Value of Contrast-Enhanced Ultrasound Combined with Immune-Inflammatory Markers in Predicting Axillary Lymph Node Metastasis of Breast Cancer
Ying Lin Song, Jinjin Liu, Chenyang Jin, et al.
Academic Radiology (2024) Vol. 31, Iss. 9, pp. 3535-3545
Closed Access | Times Cited: 3

A nomogram model for predicting the risk of axillary lymph node metastasis in patients with early breast cancer and cN0 status
Ziran Zhang, Qin Jiang, Jie Wang, et al.
Oncology Letters (2024) Vol. 28, Iss. 2
Open Access | Times Cited: 2

Revolutionizing breast cancer Ki-67 diagnosis: ultrasound radiomics and fully connected neural networks (FCNN) combination method
Yanfeng Li, Wengxing Long, Hongda Zhou, et al.
Breast Cancer Research and Treatment (2024) Vol. 207, Iss. 2, pp. 453-468
Closed Access | Times Cited: 2

Role of the Clinical Features and MRI Parameters on Ki-67 Expression in Hepatocellular Carcinoma Patients: Development of a Predictive Nomogram
Mingge Li, Shu-bin Luo, Yingying Hu, et al.
Journal of Gastrointestinal Cancer (2024) Vol. 55, Iss. 3, pp. 1069-1078
Closed Access | Times Cited: 1

Construction and validation of a nomogram prediction model for axillary lymph node metastasis of cT1 invasive breast cancer
Shuqi Wang, Dongmo Wang, Xin Wen, et al.
European Journal of Cancer Prevention (2023) Vol. 33, Iss. 4, pp. 309-320
Closed Access | Times Cited: 3

Assessment of breast cytoarchitecture and its associated axillary lymph node status under normal and pathological conditions in Egyptian women
Omnia Mansour, Amani Kazem, Abeer El Wakil
Tissue and Cell (2023) Vol. 85, pp. 102244-102244
Closed Access | Times Cited: 1

Ultrasound-based radiomics nomogram for predicting axillary lymph node metastasis in invasive breast cancer
Xiaolu Ye, Xiaoxue Zhang, Zhuangteng Lin, et al.
American Journal of Translational Research (2024) Vol. 16, Iss. 6, pp. 2398-2410
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

A study on the role of proliferative index marker Ki67 in breast carcinoma
Vijetha Vikram, Vinay Solabannavar
Journal of Clinical and Investigative Surgery (2022) Vol. 7, Iss. 2, pp. 180-184
Open Access

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