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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:

A Hybrid Dependable Deep Feature Extraction and Ensemble-Based Machine Learning Approach for Breast Cancer Detection
Selina Sharmin, Tanvir Ahammad, Md. Alamin Talukder, et al.
IEEE Access (2023) Vol. 11, pp. 87694-87708
Open Access | Times Cited: 61

Showing 1-25 of 61 citing articles:

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture
Md. Alamin Talukder, Md. Abu Layek, Mohsin Kazi, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107789-107789
Open Access | Times Cited: 45
BC-QNet: A Quantum-Infused ELM Model for Breast Cancer Diagnosis
Anas Bilal, Azhar Imran, Xiaowen Liu, et al.
Computers in Biology and Medicine (2024) Vol. 175, pp. 108483-108483
Closed Access | Times Cited: 26
A Short Review on Supervised Machine Learning and Deep Learning Techniques in Computer Vision
Ahmed Adil Nafea, Saeed Amer Alameri, Russel R. Majeed, et al.
Deleted Journal (2024) Vol. 2024, pp. 48-55
Open Access | Times Cited: 24
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: 7
A deep learning model for cotton disease prediction using fine-tuning with smart web application in agriculture
Md. Manowarul Islam, Md. Alamin Talukder, Md. Ruhul Amin Sarker, et al.
Intelligent Systems with Applications (2023) Vol. 20, pp. 200278-200278
Open Access | Times Cited: 30
BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture
Md. Manowarul Islam, Md. Alamin Talukder, Md Ashraf Uddin, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 17
Using hybrid pre-trained models for breast cancer detection
Sameh Zarif, Hatem Abdul-Kader, Ibrahim Sayed Elaraby, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296912-e0296912
Open Access | Times Cited: 10
Deep learning-driven prediction in healthcare systems: Applying advanced CNNs for enhanced breast cancer detection
Marouene Chaieb, M. Azzouz, Mokhles Ben Refifa, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109858-109858
Closed Access | Times Cited: 1
A robust and clinically applicable deep learning model for early detection of Alzheimer's
Md Masud Rana, Md. Manowarul Islam, Md. Alamin Talukder, et al.
IET Image Processing (2023) Vol. 17, Iss. 14, pp. 3959-3975
Open Access | Times Cited: 22
An ensemble machine learning based bank loan approval predictions system with a smart application
Nazim Uddin, Md. Khabir Uddin Ahamed, Md Ashraf Uddin, et al.
International Journal of Cognitive Computing in Engineering (2023) Vol. 4, pp. 327-339
Open Access | Times Cited: 18
Innovative approach towards early prediction of ovarian cancer: Machine learning- enabled XAI techniques
Sheela Lavanya J M, P. Subbulakshmi
Heliyon (2024) Vol. 10, Iss. 9, pp. e29197-e29197
Open Access | Times Cited: 8
Synergistic Feature Engineering and Ensemble Learning for Early Chronic Disease Prediction
Hamdi A. Al-Jamimi
IEEE Access (2024) Vol. 12, pp. 62215-62233
Open Access | Times Cited: 7
An optimized ensemble model based on meta-heuristic algorithms for effective detection and classification of breast tumors
Abeer Saber, Samar Elbedwehy, Wael A. Awad, et al.
Neural Computing and Applications (2024)
Open Access | Times Cited: 7
A Novel Approach for Breast Cancer Detection by Mammograms
Pragati Kumar, Dhivya Bhavani
(2024), pp. 1-5
Closed Access | Times Cited: 5
SwinCNN: An Integrated Swin Transformer and CNN for Improved Breast Cancer Grade Classification
V. Sreelekshmi, K Pavithran, Jyothisha J. Nair
IEEE Access (2024) Vol. 12, pp. 68697-68710
Open Access | Times Cited: 4
Fusing global context with multiscale context for enhanced breast cancer classification
Niful Islam, Khan Md. Hasib, M. F. Mridha, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 4
Cancer Classification Utilizing Voting Classifier with Ensemble Feature Selection Method and Transcriptomic Data
Rabea Khatun, Maksuda Akter, Md. Manowarul Islam, et al.
Genes (2023) Vol. 14, Iss. 9, pp. 1802-1802
Open Access | Times Cited: 10
Machine learning framework for breast cancer detection with feature selection with L2 ridge regularization: insights from multiple datasets
K. Premalatha, D Devi, K. Sivakumar
Journal of Translational Genetics and Genomics (2025) Vol. 9, Iss. 1, pp. 11-34
Open Access
Effectiveness Analysis of Deep Learning Methods for Breast Cancer Diagnosis Based on Histopathology Images
Merve Korkmaz, Kaplan Kaplan
Applied Sciences (2025) Vol. 15, Iss. 3, pp. 1005-1005
Open Access
SE-ResNeXt-50-CNN: A Deep Learning Model for Lung Cancer Classification
Annu Priya, P. Shyamala Bharathi
Applied Soft Computing (2025), pp. 112696-112696
Closed Access
A Hybrid Deep Learning Approach for Breast Cancer Classification Based on Histology Images
Sameh Zarif, Hatem Abdul-Kader, Ibrahim Sayed Elaraby, et al.
Lecture notes on data engineering and communications technologies (2025), pp. 265-274
Closed Access
Sift-BCD: SIFT-CNN integrated machine learning-based breast cancer detection
Vimala Mannarsamy, P. R. Mahalingam, Thilagam Kalivarathan, et al.
Biomedical Signal Processing and Control (2025) Vol. 106, pp. 107686-107686
Closed Access
A new intelligent hybrid feature extraction model for automating cancer diagnosis: a focus on breast cancer
Rasoul Rahmani, Shahin Akbarpour, Ali Farzan, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 5
Closed Access
Breast cancer diagnosis using radiomics-guided DL/ML model-systematic review and meta-analysis
Nazmul Ahasan Maruf, Abdullah Basuhail
Frontiers in Computer Science (2025) Vol. 7
Open Access
A Systematic Review of Machine Learning Algorithms for Breast Cancer Detection
Aryan Sai Boddu, AIMAN JAN -
Tissue and Cell (2025) Vol. 95, pp. 102929-102929
Closed Access
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