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:

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, et al.
Sensors (2022) Vol. 22, Iss. 3, pp. 807-807
Open Access | Times Cited: 199

Showing 1-25 of 199 citing articles:

TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
Sarmad Maqsood, Robertas Damaševičius, Rytis Maskeliūnas
Applied Sciences (2022) Vol. 12, Iss. 7, pp. 3273-3273
Open Access | Times Cited: 104
Deep Learning for Medical Image-Based Cancer Diagnosis
Xiaoyan Jiang, Zuojin Hu, Shuihua Wang‎, et al.
Cancers (2023) Vol. 15, Iss. 14, pp. 3608-3608
Open Access | Times Cited: 103
On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
Saeed Iqbal, Adnan N. Qureshi, Jianqiang Li, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 5, pp. 3173-3233
Open Access | Times Cited: 82
Intelligent Hybrid Deep Learning Model for Breast Cancer Detection
Xiaomei Wang, Ijaz Ahmad, Danish Javeed, et al.
Electronics (2022) Vol. 11, Iss. 17, pp. 2767-2767
Open Access | Times Cited: 81
A Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 5023-5052
Closed Access | Times Cited: 64
BC2NetRF: Breast Cancer Classification from Mammogram Images Using Enhanced Deep Learning Features and Equilibrium-Jaya Controlled Regula Falsi-Based Features Selection
Kiran Jabeen, Muhammad Attique Khan, Jamel Balili, et al.
Diagnostics (2023) Vol. 13, Iss. 7, pp. 1238-1238
Open Access | Times Cited: 55
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: 45
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
Hameedur Rahman, Tanvir Fatima Naik Bukht, Rozilawati Ahmad, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 44
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 104919-104919
Closed Access | Times Cited: 42
A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xi Xu, Jianqiang Li, Zhichao Zhu, et al.
Bioengineering (2024) Vol. 11, Iss. 3, pp. 219-219
Open Access | Times Cited: 28
Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 17
Breast cancer detection using deep learning techniques: challenges and future directions
Muhammad Shahid, Azhar Imran
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 3
A Multi-Agent Deep Reinforcement Learning Approach for Enhancement of COVID-19 CT Image Segmentation
Hanane Allioui, Mazin Abed Mohammed, Narjes Benameur, et al.
Journal of Personalized Medicine (2022) Vol. 12, Iss. 2, pp. 309-309
Open Access | Times Cited: 66
The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
Cancers (2022) Vol. 14, Iss. 21, pp. 5334-5334
Open Access | Times Cited: 52
BreaST-Net: Multi-Class Classification of Breast Cancer from Histopathological Images Using Ensemble of Swin Transformers
Sudhakar Tummala, Jungeun Kim, Seifedine Kadry
Mathematics (2022) Vol. 10, Iss. 21, pp. 4109-4109
Open Access | Times Cited: 49
PoxNet22: A Fine-Tuned Model for the Classification of Monkeypox Disease Using Transfer Learning
Farhana Yasmin, Md. Mehedi Hassan, Mahade Hasan, et al.
IEEE Access (2023) Vol. 11, pp. 24053-24076
Open Access | Times Cited: 39
Applying Deep Learning for Breast Cancer Detection in Radiology
Ella Mahoro, Moulay A. Akhloufi
Current Oncology (2022) Vol. 29, Iss. 11, pp. 8767-8793
Open Access | Times Cited: 38
Breast Cancer Classification through Meta-Learning Ensemble Technique Using Convolution Neural Networks
Muhammad Danish Ali, Adnan Saleem, Hubaib Elahi, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2242-2242
Open Access | Times Cited: 35
Benign and Malignant Breast Tumor Classification in Ultrasound and Mammography Images via Fusion of Deep Learning and Handcraft Features
Clara Cruz-Ramos, Oscar García-Avila, Jose A. Almaraz-Damian, et al.
Entropy (2023) Vol. 25, Iss. 7, pp. 991-991
Open Access | Times Cited: 24
Breast UltraSound Image classification using fuzzy-rank-based ensemble network
Sagar Deep Deb, Rajib Kumar Jha
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 104871-104871
Closed Access | Times Cited: 23
B2C3NetF2: Breast cancer classification using an end‐to‐end deep learning feature fusion and satin bowerbird optimization controlled Newton Raphson feature selection
Mamuna Fatima, Muhammad Attique Khan, Saima Shaheen, et al.
CAAI Transactions on Intelligence Technology (2023) Vol. 8, Iss. 4, pp. 1374-1390
Open Access | Times Cited: 22
Intelligent Ultrasound Imaging for Enhanced Breast Cancer Diagnosis: Ensemble Transfer Learning Strategies
K. Sreenivasa Rao, Panduranga Vital Terlapu, D. Jayaram, et al.
IEEE Access (2024) Vol. 12, pp. 22243-22263
Open Access | Times Cited: 8
LMHistNet: Levenberg–Marquardt Based Deep Neural Network for Classification of Breast Cancer Histopathological Images
Soumya Sara Koshy, L. Jani Anbarasi
IEEE Access (2024) Vol. 12, pp. 52051-52066
Open Access | Times Cited: 8
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: 8
Improved early detection accuracy for breast cancer using a deep learning framework in medical imaging
RICHA RICHA, B. D. K. Patro
Computers in Biology and Medicine (2025) Vol. 187, pp. 109751-109751
Closed Access | Times Cited: 1
Page 1 - Next Page

Scroll to top