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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:

Novel Approaches to Screening for Breast Cancer
Ritse M. Mann, Regina J. Hooley, R. Graham Barr, et al.
Radiology (2020) Vol. 297, Iss. 2, pp. 266-285
Closed Access | Times Cited: 132

Showing 1-25 of 132 citing articles:

Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI)
Ritse M. Mann, A. Athanasiou, Pascal Baltzer, et al.
European Radiology (2022) Vol. 32, Iss. 6, pp. 4036-4045
Open Access | Times Cited: 265
Breast Cancer Screening for Women at Higher-Than-Average Risk: Updated Recommendations From the ACR
Debra L. Monticciolo, Mary S. Newell, Linda Moy, et al.
Journal of the American College of Radiology (2023) Vol. 20, Iss. 9, pp. 902-914
Closed Access | Times Cited: 136
Contrast-enhanced Mammography versus Contrast-enhanced Breast MRI: A Systematic Review and Meta-Analysis
Nina Pötsch, Giulia Vatteroni, Paola Clauser, et al.
Radiology (2022) Vol. 305, Iss. 1, pp. 94-103
Closed Access | Times Cited: 82
Recent advancements in artificial intelligence for breast cancer: Image augmentation, segmentation, diagnosis, and prognosis approaches
Jiadong Zhang, Jiaojiao Wu, Xiang Sean Zhou, et al.
Seminars in Cancer Biology (2023) Vol. 96, pp. 11-25
Closed Access | Times Cited: 45
Contrast-enhanced Mammography: A Systematic Review and Meta-Analysis of Diagnostic Performance
Andrea Cozzi, Veronica Magni, Moreno Zanardo, et al.
Radiology (2021) Vol. 302, Iss. 3, pp. 568-581
Closed Access | Times Cited: 96
Circulating Tumor DNA—A Novel Biomarker of Tumor Progression and Its Favorable Detection Techniques
Xiaosha Wen, Huijie Pu, Quan Liu, et al.
Cancers (2022) Vol. 14, Iss. 24, pp. 6025-6025
Open Access | Times Cited: 38
Attention guided neural ODE network for breast tumor segmentation in medical images
Jintao Ru, Beichen Lu, Buran Chen, et al.
Computers in Biology and Medicine (2023) Vol. 159, pp. 106884-106884
Closed Access | Times Cited: 33
Breast cancer: Epidemiology, risk factors and screening
Hangcheng Xu, Binghe Xu
Chinese Journal of Cancer Research (2023) Vol. 35, Iss. 6, pp. 565-583
Open Access | Times Cited: 28
Diagnostic Performance of Point-of-Care Apparent Diffusion Coefficient Measures to Reduce Biopsy in Breast Lesions at MRI: Clinical Validation
Inyoung Youn, Debosmita Biswas, Daniel S. Hippe, et al.
Radiology (2024) Vol. 310, Iss. 2
Closed Access | Times Cited: 9
Contrast-Enhanced Mammography versus Breast Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
Fabrizia Gelardi, Elisa Maria Ragaini, Martina Sollini, et al.
Diagnostics (2022) Vol. 12, Iss. 8, pp. 1890-1890
Open Access | Times Cited: 34
Nano-Based Theranostic Platforms for Breast Cancer: A Review of Latest Advancements
Rabia Arshad, Maria Hassan Kiani, Abbas Rahdar, et al.
Bioengineering (2022) Vol. 9, Iss. 7, pp. 320-320
Open Access | Times Cited: 33
Breast Cancer Screening and Diagnosis
Alison Gegios, Molly Peterson, Amy M. Fowler
PET Clinics (2023) Vol. 18, Iss. 4, pp. 459-471
Closed Access | Times Cited: 20
Breast cancer detection using enhanced IRI-numerical engine and inverse heat transfer modeling: model description and clinical validation
Carlos Gutiérrez, Alyssa Owens, Lori Medeiros, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Autonomous robotic ultrasound scanning system: a key to enhancing image analysis reproducibility and observer consistency in ultrasound imaging
Xin-Xin Lin, Ming‐De Li, Si‐Min Ruan, et al.
Frontiers in Robotics and AI (2025) Vol. 12
Open Access
Using deep learning to safely exclude lesions with only ultrafast breast MRI to shorten acquisition and reading time
Xueping Jing, Mirjam Wielema, L. J. Cornelissen, et al.
European Radiology (2022) Vol. 32, Iss. 12, pp. 8706-8715
Open Access | Times Cited: 25
Deep Learning Enhanced Volumetric Photoacoustic Imaging of Vasculature in Human
Wenhan Zheng, Huijuan Zhang, Chuqin Huang, et al.
Advanced Science (2023) Vol. 10, Iss. 29
Open Access | Times Cited: 15
Combining Radiomics and Autoencoders to Distinguish Benign and Malignant Breast Tumors on US Images
Zuzanna Magnuska, Rijo Roy, Moritz Palmowski, et al.
Radiology (2024) Vol. 312, Iss. 3
Closed Access | Times Cited: 4
Comparative Evaluation of Superb Microvascular Imaging and Dynamic Contrast‐Enhanced Magnetic Resonance Imaging in Differentiating Benign and Malignant Breast Masses
Ahmet Yasin Yitik, Nuran Sabir, Sevda Yılmaz
Journal of Ultrasound in Medicine (2025)
Open Access
Enhancing registration accuracy and eminence of multispectral transmission breast images by fusing multi-wavelength gen using vision transformer and LSTM
Muhammad Fahad, Tao Zhang, Sajid Ullah Khan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Advances in breast cancer screening modalities and status of global screening programs
Chenyu Luo, Le Wang, Yuhan Zhang, et al.
Chronic Diseases and Translational Medicine (2022) Vol. 8, Iss. 2, pp. 112-123
Open Access | Times Cited: 20
Fully automatic classification of breast lesions on multi-parameter MRI using a radiomics model with minimal number of stable, interpretable features
Jing Zhang, Chenao Zhan, Chenxiu Zhang, et al.
La radiologia medica (2023) Vol. 128, Iss. 2, pp. 160-170
Closed Access | Times Cited: 12
Diagnostic and predictive value of liquid biopsy-derived exosome miR-21 for breast cancer: a systematic review and meta-analysis
Miaomiao Wang, Yinzhong Wang, Xiaoxue Tian, et al.
Expert Review of Molecular Diagnostics (2023) Vol. 23, Iss. 4, pp. 315-324
Closed Access | Times Cited: 11
A Review of the Role of the S-Detect Computer-Aided Diagnostic Ultrasound System in the Evaluation of Benign and Malignant Breast and Thyroid Masses
Di Zhang, Fan Jiang, Rui Yin, et al.
Medical Science Monitor (2021) Vol. 27
Open Access | Times Cited: 26
Artificial Intelligence (AI) in Breast Imaging: A Scientometric Umbrella Review
Xiao Jian Tan, Wai Loon Cheor, Li Li Lim, et al.
Diagnostics (2022) Vol. 12, Iss. 12, pp. 3111-3111
Open Access | Times Cited: 18
Potential utility of miRNAs for liquid biopsy in breast cancer
Xiangrong Liu, Dimitri Papukashvili, Zhixiang Wang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 17
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