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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:

Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Physica Medica (2023) Vol. 114, pp. 103138-103138
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

An efficient deep learning network with orthogonal softmax layer for automatic detection of tuberculosis
Pradeep Kumar Das, S Sreevatsav, Ajith Abraham
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108116-108116
Closed Access | Times Cited: 6
A comparative study of machine learning models with LASSO and SHAP feature selection for breast cancer prediction
Md. Shazzad Hossain Shaon, Tasmin Karim, Shahriar Shakil, et al.
Healthcare Analytics (2024) Vol. 6, pp. 100353-100353
Open Access | Times Cited: 6
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: 5
XAI-RACapsNet: Relevance aware capsule network-based breast cancer detection using mammography images via explainability O-net ROI segmentation
Ahmad Alhussen, Mohd Anul Haq, Arfat Ahmad Khan, et al.
Expert Systems with Applications (2024), pp. 125461-125461
Closed Access | Times Cited: 5
An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Sukadev Meher, Adyasha Rath, et al.
ISA Transactions (2025)
Closed Access
A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images
Anitha Ponraj, P. Nagaraj, D. Balakrishnan, et al.
Digital Health (2025) Vol. 11
Open Access
Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset
Mingzhao Wang, Ran Liu, Joseph Luttrell, et al.
Journal of Multidisciplinary Healthcare (2025) Vol. Volume 18, pp. 675-695
Open Access
Optimizing Artificial Intelligence-aided breast cancer models: An empirical analysis of binary classifiers and regression-based feature selectors
Fakhriddin Madolimov, Asilbek Medatov, Elmira Nazirova, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110318-110318
Closed Access
Automated Tumor Segmentation in Breast-Conserving Surgery Using Deep Learning on Breast Tomosynthesis
Wen-Pei Wu, Yu-Wen Chen, Hwa‐Koon Wu, et al.
Deleted Journal (2025)
Closed Access
Multidisciplinary clinician perceptions on utility of a machine learning tool (ALERT) to predict 6‐month mortality and improve end‐of‐life outcomes for advanced cancer patients
Nithya Krishnamurthy, Melanie Besculides, Ksenia Gorbenko, et al.
Cancer Medicine (2025) Vol. 14, Iss. 5
Open Access
An automatic sparse-based deep cascade framework with multilayer representation for detecting breast cancer
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Measurement (2024) Vol. 228, pp. 114375-114375
Closed Access | Times Cited: 4
The Smart Performance Comparison of AI-based Breast Cancer Detection Models
Sana Samreen, Abdul Sajid Mohammed, Anuteja Reddy Neravetla, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 4
Value of Original and Generated Ultrasound Data Towards Training Robust Classifiers for Breast Cancer Identification
Bianca-Ştefania Munteanu, Alexandra Murariu, Mǎrioara Nichitean, et al.
Information Systems Frontiers (2024)
Open Access | Times Cited: 2
Revolutionizing breast cancer diagnosis with a comprehensive approach using digital mammogram-based feature extraction and selection for early-stage identification
Yuvaraja Thangavel, Hitendra Garg, Manjunathan Alagarsamy, et al.
Biomedical Signal Processing and Control (2024) Vol. 94, pp. 106268-106268
Closed Access | Times Cited: 1
An extensive critique on machine learning techniques for fault tolerance and power quality improvement in multilevel inverters
K. Sakthivel, Albert Alexander Stonier
Energy Reports (2024) Vol. 12, pp. 5814-5833
Open Access | Times Cited: 1
Mass detection in automated three dimensional breast ultrasound using cascaded convolutional neural networks
Sepideh Barekatrezaei, Ehsan Kozegar, Masoumeh Salamati, et al.
Physica Medica (2024) Vol. 124, pp. 103433-103433
Closed Access | Times Cited: 1
Frequency Selection to Improve the Performance of Microwave Breast Cancer Detecting Support Vector Model by Using Genetic Algorithm
Mehran Taghipour‐Gorjikolaie, Banafsheh Khalesi, Navid Ghavami, et al.
2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (2024), pp. 1-6
Closed Access | Times Cited: 1
Enhancing Sign Language Recognition: A CNN-BiLSTM Approach for Accurate Gesture Interpretation
Baghavathi Priya S, Praveena Rao, TamilSelvi Madeswaran
(2023), pp. 1-6
Closed Access | Times Cited: 2
Machine Learning Techniques for Prediction and Classification of Breast Cancer
Monalisha Pattnaik, Umrah Naushad, Deepti Rani Pattanaik, et al.
(2024), pp. 110-116
Open Access
Enhancing Breast Cancer Detection in Ultrasound Images: An Innovative Approach Using Progressive Fine‐Tuning of Vision Transformer Models
Meshrif Alruily, Alshimaa Abdelraof Mahmoud, Hisham Allahem, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access
Breast Cancer Classification Using Breast Ultrasound Images with a Hybrid of Transfer Learning and Bayesian-Optimized Fast Learning Network
Emmanuel Ahishakiye, Fredrick Kanobe
Research Square (Research Square) (2024)
Closed Access
A Novel Diagnostic Framework for Breast Cancer: Combining Deep Learning with Mammogram-DBT Feature Fusion
Nishu Gupta, Jan Kubicek, Marek Penhaker, et al.
Results in Engineering (2024), pp. 103836-103836
Open Access
A Convolutional Neural Network for Mammogram based Breast Cancer Detection
L. Kanya Kumari, B. N. Jagadesh, M S Jagadeesh, et al.
(2024), pp. 704-708
Closed Access
Efficient Detection of Brain Tumor Using Deep Learning with Small Dataset
Apoorva Kumar, Pradeep Kumar Das
(2024), pp. 1-5
Closed Access
Advancements in Breast Cancer Diagnosis: A Comprehensive Review of Mammography Datasets, Preprocessing and Classification Techniques
Hama Soltani, Issam Bendib, Mohamed Yassine Haouam, et al.
Acta Informatica Pragensia (2024) Vol. 13, Iss. 2, pp. 308-326
Open Access
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