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:

Overview of Artificial Intelligence in Breast Cancer Medical Imaging
Dan Zheng, Xiujing He, Jing Jing
Journal of Clinical Medicine (2023) Vol. 12, Iss. 2, pp. 419-419
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Dobin Yim, Jiban Khuntia, Vijaya Parameswaran, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e52073-e52073
Open Access | Times Cited: 32

AI in Breast Cancer Imaging: An Update and Future Trends
Yizhou Chen, Xiaoliang Shao, Kuangyu Shi, et al.
Seminars in Nuclear Medicine (2025)
Open Access | Times Cited: 3

Evolution of artificial intelligence as a modern technology in advanced cancer therapy
Mohammad Sameer Khan, Mohammad Y. Alshahrani, Shadma Wahab, et al.
Journal of Drug Delivery Science and Technology (2024) Vol. 98, pp. 105892-105892
Closed Access | Times Cited: 14

Artificial intelligence for breast cancer: Implications for diagnosis and management
Jehad Feras AlSamhori, Abdel Rahman Feras AlSamhori, Leslie Anne Duncan, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100120-100120
Open Access | Times Cited: 11

Omics Technologies Improving Breast Cancer Research and Diagnostics
Arianna Orsini, Chiara Diquigiovanni, Elena Bonora
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 16, pp. 12690-12690
Open Access | Times Cited: 19

Review on Deep Learning-Based CAD Systems for Breast Cancer Diagnosis
S. Arun Kumar, S. Sasikala
Technology in Cancer Research & Treatment (2023) Vol. 22
Open Access | Times Cited: 15

Feature-based detection of breast cancer using convolutional neural network and feature engineering
Hiba Allah Essa, Ebrahim Ismaiel, Mhd Firas Al Hinnawi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4

Revolutionizing Breast Healthcare: Harnessing the Role of Artificial Intelligence
Arun S. Singh, Shivani B. Paruthy, Vivek Belsariya, et al.
Cureus (2023)
Open Access | Times Cited: 10

The role of Artificial Intelligence in detecting breast lesions using ultrasound
Daria Ziemińska, Karina Motolko, Rafał Burczyk, et al.
Quality in Sport (2025) Vol. 37, pp. 57301-57301
Open Access

A Micro-Computed Tomography-Based Simplified Approach to Measure Body Composition, Osteoporosis, and Lung Fibrosis in Mice
Madeleine B. Landau, Binghao Zou, Ziqi Yang, et al.
BIO-PROTOCOL (2025) Vol. 15, Iss. 1365
Open Access

Discrimination of invasive ductal and lobular carcinoma of the breast based on the combination of enhanced Legendre polynomial, kinetic features and deep learning features
Ali M. Hasan, Noor K.N. Al-Waely, Hadeel K. Aljobouri, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107546-107546
Closed Access

Advancing early breast cancer detection with artificial intelligence in low-resource healthcare systems: a narrative review
Vanessa Vidaurre Corrales, Ibrahim Marouf Yasin Al Shyyab, Nagana Gowda, et al.
International Journal of Community Medicine and Public Health (2025) Vol. 12, Iss. 3, pp. 1571-1577
Open Access

Deep Learning for Tumor Classification
Banashree Bondhopadhyay, Navya Aggarwal, Shinjini Sen
IGI Global eBooks (2025), pp. 161-184
Closed Access

Innovative Methodologies for the Early Detection of Breast Cancer: A Review Categorized by Target Biological Samples
Anna Grasso, Vittorio Altomare, Giulia Fiorini, et al.
Biosensors (2025) Vol. 15, Iss. 4, pp. 257-257
Open Access

Benchmarking Deep Learning Algorithms for Breast Cancer Detection: A Comprehensive Review and Evaluation Across Public Imaging Datasets
Dariush Moslemi, Seyed Mohammad Hassan Hosseini, Elham Jafarian, et al.
InfoScience Trends (2025) Vol. 2, Iss. 4, pp. 11-24
Open Access

An Investigation on Different Approaches for Medical Imaging
Anandakumar Haldorai, Babitha Lincy R, Suriya Murugan, et al.
EAI/Springer Innovations in Communication and Computing (2024), pp. 57-75
Closed Access | Times Cited: 3

Clinical Integration of Artificial Intelligence for Breast Imaging
Louise Wilkinson, J Kevin Dunbar, Gerald Lip
Radiologic Clinics of North America (2024) Vol. 62, Iss. 4, pp. 703-716
Closed Access | Times Cited: 2

Segmentation of Breast Cancer on Ultrasound Images using Attention U-Net Model
Sara Laghmati, Khadija Hicham, Bouchaib Cherradi, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 6

Artificial Intelligence - A Primer for Diagnosis and Interpretation of Breast Cancer
Anand Mohan Jha, Abikesh Prasada Kumar Mahapatra, John Abraham, et al.
International Journal of Trends in OncoScience (2024), pp. 27-36
Open Access | Times Cited: 2

Künstliche Intelligenz in der Medizin: Von Entlastungen und neuen Anforderungen im ärztlichen Handeln
Max Tretter, David Samhammer, Peter Dabrock
Ethik in der Medizin (2023) Vol. 36, Iss. 1, pp. 7-29
Open Access | Times Cited: 4

Revolutionizing Breast Cancer Care: Cutting-Edge Breakthroughs and Future Frontiers in Precision Medicine
Muhammad Ali Qureshi, Muhammad Younas Khan, Ahmed Imran, et al.
(2024), pp. 115-141
Closed Access | Times Cited: 1

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