Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies
Mehran Radak, Haider Yabr Lafta, Hossein Fallahi
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 10473-10491
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

A Cross-scale Attention-Based U-Net for Breast Ultrasound Image Segmentation
Teng Wang, Jun Liu, Jinshan Tang
Deleted Journal (2025)
Closed Access | Times Cited: 3
Dual-branch dynamic hierarchical U-Net with multi-layer space fusion attention for medical image segmentation
Zhen Wang, Shuang Fu, Hongguang Zhang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Role of Artificial Intelligence in Medical Image Analysis: A Review of Current Trends and Future Directions
Xin Li, Lei Zhang, Jingsi Yang, et al.
Journal of Medical and Biological Engineering (2024) Vol. 44, Iss. 2, pp. 231-243
Closed Access | Times Cited: 12
Deep learning approaches to detect breast cancer: a comprehensive review
Amir Mohammad Sharafaddini, Kiana Kouhpah Esfahani, N. Mansouri
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 10
Performance Analysis of Random Forest on Quartile Classification Journal
Cornaldo Beliarding Sucahyo, Fajriwati Qoyyum Rizqini, Ayyub Naufal, et al.
Applied Engineering and Technology (2024) Vol. 3, Iss. 1, pp. 1-17
Open Access | Times Cited: 6
A deep learning based holistic diagnosis system for immunohistochemistry interpretation and molecular subtyping
Lin Fan, Jiahe Liu, Baoyang Ju, et al.
Neoplasia (2024) Vol. 50, pp. 100976-100976
Open Access | Times Cited: 4
Development and validation of a radiomics-based model for predicting osteoporosis in patients with lumbar compression fractures
Sunqi Nian, Yayu Zhao, Chengjin Li, et al.
The Spine Journal (2024) Vol. 24, Iss. 9, pp. 1625-1634
Closed Access | Times Cited: 4
An Evolutionary Deep Learning Method Based on Improved Heap-Based Optimization for Medical Image Classification and Diagnosis
Lin Zhang, Zenglin Qiao, Lina Li
IEEE Access (2024) Vol. 12, pp. 102745-102773
Open Access | Times Cited: 4
Cancer Biomarkers and Precision Oncology: A Review of Recent Trends and Innovations
Maha Aldoughaim, Nada Alsuhebany, Mohammed Alzahrani, et al.
Clinical Medicine Insights Oncology (2024) Vol. 18
Open Access | Times Cited: 4
Automated Breast Cancer Detection: A Review
Rozah Hassan M. Alkhater, Somaya Al‐Maadeed
Communications in computer and information science (2025), pp. 297-310
Closed Access
Comparative analysis of deep learning architectures for breast region segmentation with a novel breast boundary proposal
Sam Narimani, Solveig Roth Hoff, Kathinka D. Kurz, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Breast cancer detection and classification: A study on the specification and implementation of multilayer perceptron analog artificial neural networks
Koagne Longpa T. Silas, B Djimeli-Tsajio Alain, Thierry Noulamo, et al.
Computers in Biology and Medicine (2025) Vol. 190, pp. 110060-110060
Closed Access
kNN classification using Hausdorff metric with quantum-based Euclidean distance
Diego Carlos Luna-Márquez, Raúl Pinto-Elías, Tomás Pérez-Becerra, et al.
Quantum Machine Intelligence (2025) Vol. 7, Iss. 1
Closed Access
Breast Cancer Classification Using Machine Learning: A Comprehensive Review and Analysis
Priyanka Roy, Joyjit Patra, Suvanjan Bhattacharyya, et al.
Smart innovation, systems and technologies (2025), pp. 397-411
Closed Access
Whale Optimization Algorithm-Based Feature Selection Combined with the XGBoost Model for Breast Cancer Detection: A Comparative Study
Salsabila Benghazouani, Said Nouh, Abdelali Zakrani
Lecture notes in networks and systems (2025), pp. 53-62
Closed Access
Effective Filtering Methods for Visibility of Enhanced Mammogram Vessels
Pooja A Nair, Sravan Kumar Sikhakolli, Inbarasan Muniraj, et al.
Procedia Computer Science (2025) Vol. 258, pp. 49-56
Open Access
Enhanced Machine Learning Models for Accurate Breast Cancer Mammogram Classification
Kiran Kiran, V. Veeraprathap, Harekrishna Kumar, et al.
Global Transitions (2025)
Open Access
Predicting pathological complete response to neoadjuvant chemotherapy in breast cancer patients: use of MRI radiomics data from three regions with multiple machine learning algorithms
Guangying Zheng, Jiaxuan Peng, Zhenyu Shu, et al.
Journal of Cancer Research and Clinical Oncology (2024) Vol. 150, Iss. 3
Open Access | Times Cited: 3
CIL-Net: Densely Connected Context Information Learning Network for Boosting Thyroid Nodule Segmentation Using Ultrasound Images
Haider Ali, Mingzhao Wang, Juanying Xie
Cognitive Computation (2024) Vol. 16, Iss. 3, pp. 1176-1197
Closed Access | Times Cited: 3
Computationally efficient LC-SCS deep learning model for breast cancer classification using thermal imaging
Iqra Nissar, Shahzad Alam, Sarfaraz Masood
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16233-16250
Closed Access | Times Cited: 3
CMISR: Circular medical image super-resolution
Honggui Li, Nahid Hossain, Maria Trocan, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108222-108222
Open Access | Times Cited: 2
Improving Ultrasound Diagnostic Precision for Breast Cancer and Adenosis with Modality-Specific Enhancement (MSE) - Breast Net
Zimei Lin, He Zhang, Yunzhong Wang, et al.
Cancer Letters (2024) Vol. 596, pp. 216977-216977
Closed Access | Times Cited: 2
Beyond Supervised: The Rise of Self-Supervised Learning in Autonomous Systems
Hamed Taherdoost
Information (2024) Vol. 15, Iss. 8, pp. 491-491
Open Access | Times Cited: 2
Prediction of breast cancer based on computer vision and artificial intelligence techniques
Asif Irshad Khan, Yoosef B. Abushark, Fawaz Alsolami, et al.
Measurement (2023) Vol. 218, pp. 113230-113230
Closed Access | Times Cited: 6
Prediction of sentinel lymph node metastasis in breast cancer by using deep learning radiomics based on ultrasound images
Chujun Wang, Yu Zhao, Min Wan, et al.
Medicine (2023) Vol. 102, Iss. 44, pp. e35868-e35868
Open Access | Times Cited: 5
Page 1 - Next Page

Scroll to top