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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:

Breast Cancer Detection and Classification Empowered With Transfer Learning
Sahar Arooj, Atta Rahman, Muhammad Zubair, et al.
Frontiers in Public Health (2022) Vol. 10
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

The stratified K-folds cross-validation and class-balancing methods with high-performance ensemble classifiers for breast cancer classification
T R Mahesh, V. Vinoth Kumar, V. Dhilip Kumar, et al.
Healthcare Analytics (2023) Vol. 4, pp. 100247-100247
Open Access | Times Cited: 42
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 33
Enhanced Pre-Trained Xception Model Transfer Learned for Breast Cancer Detection
Shubhangi A. Joshi, Anupkumar M. Bongale, P. Olof Olsson, et al.
Computation (2023) Vol. 11, Iss. 3, pp. 59-59
Open Access | Times Cited: 29
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
Mpho Mokoatle, Vukosi Marivate, Darlington Mapiye, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 28
A comprehensive analysis of recent advancements in cancer detection using machine learning and deep learning models for improved diagnostics
Hari Mohan, Joon Yoo
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 15, pp. 14365-14408
Closed Access | Times Cited: 21
A blockchain-enabled internet of medical things system for breast cancer detection in healthcare
Sushovan Chaudhury, Kartik Sau
Healthcare Analytics (2023) Vol. 4, pp. 100221-100221
Open Access | Times Cited: 19
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 18
A Secure Internet of Medical Things Framework for Breast Cancer Detection in Sustainable Smart Cities
Theyazn H. H. Aldhyani, Mohammad Ayoub Khan, Mohammed Amin Almaiah, et al.
Electronics (2023) Vol. 12, Iss. 4, pp. 858-858
Open Access | Times Cited: 17
Fine tuning deep learning models for breast tumor classification
A. Heikal, Amir El-Ghamry, Samir Elmougy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 7
Breast Cancer Detection via Multi-Tiered Self-Contrastive Learning in Microwave Radiometric Imaging
Christoforos Galazis, Huiyi Wu, Igor Goryanin
Diagnostics (2025) Vol. 15, Iss. 5, pp. 549-549
Open Access
Transfer learning method for prenatal ultrasound diagnosis of biliary atresia
Fujiao He, Gang Li, Zhichao Zhang, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
On the Effectiveness of Using Visual Transformers in Detecting Abnormalities of Histopathological Images
Eugene Yu. Shchetinin
Mathematical Models and Computer Simulations (2025) Vol. 17, Iss. 1, pp. 46-54
Closed Access
Prediction of Hypertension in the Pediatric Population Using Machine Learning and Transfer Learning: A Multicentric Analysis of the SAYCARE Study
Keisyanne Araújo‐Moura, Letícia Souza, Tiago Almeida de Oliveira, et al.
International Journal of Public Health (2025) Vol. 70
Open Access
BRMI-Net: Deep Learning Features and Flower Pollination-Controlled Regula Falsi-Based Feature Selection Framework for Breast Cancer Recognition in Mammography Images
Shams Ur Rehman, Muhamamd Attique Khan, Anum Masood, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1618-1618
Open Access | Times Cited: 11
Next-Generation Diagnostics: The Impact of Synthetic Data Generation on the Detection of Breast Cancer from Ultrasound Imaging
Hari Mohan, Serhii Dashkevych, Joon Yoo
Mathematics (2024) Vol. 12, Iss. 18, pp. 2808-2808
Open Access | Times Cited: 4
Enhanced breast cancer detection and classification via CAMR-Gabor filters and LSTM: A deep Learning-Based method
Vinit Kumar, K. Chandrashekhara, Naga Padmaja Jagini, et al.
Egyptian Informatics Journal (2025) Vol. 29, pp. 100602-100602
Closed Access
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
Closed Access
Thermal Breast Cancer Detection Using Deep Learning and Grad-CAM Visualization
D U Latha, T R Mahesh
Salud Ciencia y Tecnología (2025) Vol. 5, pp. 1518-1518
Closed Access
Deep Learning for Breast Cancer Classification: A Comparative Study of Pretrained CNN Models
Anjali Pandya, Nesh Rochwani, Rudra Patel, et al.
Lecture notes in networks and systems (2025), pp. 493-503
Closed Access
Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review
Sadam Hussain, Yareth Lafarga-Osuna, Mansoor Ali, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 8
Breast Cancer Prediction by Ensembling Machine Learning Algorithms and Explainable AI
M. Sobhana, Anil Kumar Palaketi, Ramya Nalabothu
(2024), pp. 1-6
Closed Access | Times Cited: 2
Abnormality classification and localization using dual-branch whole-region-based CNN model with histopathological images
Olaide N. Oyelade, Absalom E. Ezugwu, Hein S. Venter, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105943-105943
Closed Access | Times Cited: 12
Food Classification Using Deep Learning: Presenting a New Food Segmentation Dataset
Mehwash Farooqui, Atta Rahman, Roaa Alorefan, et al.
Mathematical Modelling and Engineering Problems (2023) Vol. 10, Iss. 3, pp. 1017-1024
Open Access | Times Cited: 6
Data Fusion Architecture Empowered with Deep Learning for Breast Cancer Classification
Sahar Arooj, Muhammad Farhan Khan, Tariq Shahzad, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 77, Iss. 3, pp. 2813-2831
Closed Access | Times Cited: 5
Evolution of LiverNet 2.x: Architectures for automated liver cancer grade classification from H&E stained liver histopathological images
Amit Kumar Chanchal, Shyam Lal, Dipanshu Barnwal, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 1, pp. 2791-2821
Closed Access | Times Cited: 4
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