Open Access Helper

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:

BreastMultiNet: A multi-scale feature fusion method using deep neural network to detect breast cancer
Md Mahbubur Rahman, Md. Saikat Islam Khan, Hafiz Md. Hasan Babu
Array (2022) Vol. 16, pp. 100256-100256
Open Access | Times Cited: 20

Showing 20 citing articles:

BreastHybridNet: A Hybrid Deep Learning Framework for Breast Cancer Diagnosis Using Mammogram Images
Bandla Raghuramaiah, Suresh Chittineni
International Journal of Computational and Experimental Science and Engineering (2025) Vol. 11, Iss. 1
Open Access | Times Cited: 3
XSE-TomatoNet: An Explainable AI based Tomato Leaf Disease Classification Method Using EfficientNetB0 with Squeeze-and-Excitation Blocks and Multi-Scale Feature Fusion
Md Assaduzzaman, Prayma Bishshash, Md. Asraful Sharker Nirob, et al.
MethodsX (2025), pp. 103159-103159
Closed Access | Times Cited: 1
Empowering early detection: A web-based machine learning approach for PCOS prediction
Md Mahbubur Rahman, Ashikul Islam, Farhadul Islam, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101500-101500
Open Access | Times Cited: 10
BT-Net: An end-to-end multi-task architecture for brain tumor classification, segmentation, and localization from MRI images
Salman Fazle Rabby, Muhammad Abdullah Arafat, Taufiq Hasan
Array (2024) Vol. 22, pp. 100346-100346
Open Access | Times Cited: 5
Fusion strategies for deep convolutional neural network representations in histopathological image classification
Nooshin Osmani, Erfan Esmaeeli, Sorayya Rezayi
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Towards accurate breast cancer diagnosis: An overview of multimodal model integration
Bhagyashri R. Wankar, Rudra Kalyan Nayak
AIP conference proceedings (2025) Vol. 3233, pp. 020029-020029
Closed Access
A deep CNN approach to detect and classify local fruits through a web interface
Md Mahbubur Rahman, Md.Abunoman Basar, Tahmina Sultana Shinti, et al.
Smart Agricultural Technology (2023) Vol. 5, pp. 100321-100321
Open Access | Times Cited: 10
HBNet: an integrated approach for resolving class imbalance and global local feature fusion for accurate breast cancer classification
Barsha Abhisheka, Saroj Kumar Biswas, Biswajit Purkayastha
Neural Computing and Applications (2024) Vol. 36, Iss. 15, pp. 8455-8472
Closed Access | Times Cited: 2
SkinMultiNet: Advancements in Skin Cancer Prediction Using Deep Learning with Web Interface
Md. Nur Hosain Likhon, Sahab Uddin Rana, S Akter, et al.
Deleted Journal (2024)
Closed Access | Times Cited: 2
AirNet: predictive machine learning model for air quality forecasting using web interface
Md Mahbubur Rahman, Md. Emran Hussain Nayeem, Md. Shorup Ahmed, et al.
ENVIRONMENTAL SYSTEMS RESEARCH (2024) Vol. 13, Iss. 1
Open Access | Times Cited: 2
An enhanced multi-scale deep convolutional orchard capsule neural network for multi-modal breast cancer detection
Sangeeta Parshionikar, Debnath Bhattacharyya
Healthcare Analytics (2023) Vol. 5, pp. 100298-100298
Open Access | Times Cited: 5
Web-Based Machine Learning Framework for Authenticating News: A Fake News Detection System
Md. Abdur Rahman, Md Mahbubur Rahman, Md Sumon, et al.
Research Square (Research Square) (2024)
Open Access
Enhancement of Breast Cancer Screening through Texture and Deep Feature Fusion Model using MLO and CC View Mammograms
S. Sasikala, S. Arun Kumar
BENTHAM SCIENCE PUBLISHERS eBooks (2024), pp. 96-110
Closed Access
Comparative Analysis to Identify Machine Learning Methods in Predicting Benign-Malignant Types of Breast Cancer
Gunawan Anak Agung Ngurah, Putu Astri Novianti, Anak Agung Ngurah Frady Cakra Negara, et al.
(2024)
Closed Access
Leveraging Ensemble Techniques for Enhanced Eye State Classification with EEG Data
N Priyadharshini Jayadurga, M. Chandralekha, Kashif Saleem
(2024) Vol. 29, pp. 570-576
Closed Access
Smart Farming: Leveraging IoT and Deep Learning for Sustainable Tomato Cultivation and Pest Management
Md Rakibul Hasan, Md Mahbubur Rahman, Fahim Shahriar, et al.
Crop Design (2024) Vol. 3, Iss. 4, pp. 100079-100079
Open Access
KidneyMultiNet: A Web-Based Automatic System for Kidney Disease Detection Using Hybrid Machine Learning Model From CT Scan Images
Sahab Uddin Rana, Md. Nur-A-Alam, S Akter, et al.
Deleted Journal (2024)
Closed Access
Enhanced breast cancer diagnosis through integration of computer vision with fusion based joint transfer learning using multi modality medical images
S. Iniyan, M. Senthil Raja, R. Poonguzhali, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Deep learning approaches for detection, classification, and localization of breast cancer using microscopic images: A review and bibliometric analysis
Sonam Tyagi, Subodh Srivastava, Bikash Chandra Sahana
Research on Biomedical Engineering (2024) Vol. 41, Iss. 1
Closed Access
HBMD-Net: Feature Fusion Based Breast Cancer Classification with Class Imbalance Resolution
Barsha Abhisheka, Saroj Kr. Biswas, Biswajit Purkayastha
Deleted Journal (2024)
Open Access
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