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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 using an ensemble deep learning method
Abhishek Das, Mihir Narayan Mohanty, Pradeep Kumar Mallick, et al.
Biomedical Signal Processing and Control (2021) Vol. 70, pp. 103009-103009
Closed Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Nusrat Mohi Ud Din, Rayees Ahmad Dar, Muzafar Rasool, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106073-106073
Closed Access | Times Cited: 172
A review on recent developments in cancer detection using Machine Learning and Deep Learning models
Sonam Maurya, Sushil Tiwari, Monika Chowdary Mothukuri, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104398-104398
Closed Access | Times Cited: 53
Ensemble Deep Learning and Internet of Things‐Based Automated COVID‐19 Diagnosis Framework
Anita S. Kini, A. Nanda Gopal Reddy, Manjit Kaur, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 39
MobileNet-SVM: A Lightweight Deep Transfer Learning Model to Diagnose BCH Scans for IoMT-Based Imaging Sensors
Roseline Oluwaseun Ogundokun, Sanjay Misra, Akinyemi Omololu Akinrotimi, et al.
Sensors (2023) Vol. 23, Iss. 2, pp. 656-656
Open Access | Times Cited: 35
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
Classifying breast cancer using transfer learning models based on histopathological images
Meghavi Rana, Megha Bhushan
Neural Computing and Applications (2023) Vol. 35, Iss. 19, pp. 14243-14257
Closed Access | Times Cited: 24
Improving prediction of cervical cancer using KNN imputer and multi-model ensemble learning
Turki Aljrees
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0295632-e0295632
Open Access | Times Cited: 10
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
Temporal feature aggregation with attention for insider threat detection from activity logs
Preetam Pal, Pratik Chattopadhyay, Mayank Swarnkar
Expert Systems with Applications (2023) Vol. 224, pp. 119925-119925
Closed Access | Times Cited: 18
CNN-Wavelet scattering textural feature fusion for classifying breast tissue in mammograms
Noor Fadzilah Razali, Iza Sazanita Isa, Siti Noraini Sulaiman, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104683-104683
Closed Access | Times Cited: 15
Automatic approach for breast cancer detection based on deep belief network using histopathology images
R. Karthiga, K. Narasimhan, N Tulasi Raju, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 4
Machine learning in image processing advances in detection of breast cancer
P. Soni, Radhika Tandon, S. Mishra, et al.
AIP conference proceedings (2025) Vol. 3262, pp. 020019-020019
Closed Access
Improved classification of colorectal polyps on histopathological images with ensemble learning and stain normalization
Sena Busra Yengec-Tasdemir, Zafer Aydın, Ebru Akay, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 232, pp. 107441-107441
Closed Access | Times Cited: 12
An Ensembled Framework for Human Breast Cancer Survivability Prediction Using Deep Learning
Ehzaz Mustafa, Ehtisham Khan Jadoon, Sardar Khaliq uz Zaman, et al.
Diagnostics (2023) Vol. 13, Iss. 10, pp. 1688-1688
Open Access | Times Cited: 10
A Review on Computational Methods for Breast Cancer Detection in Ultrasound Images Using Multi-Image Modalities
Sushi Sushanki, Ashish Kumar Bhandari, Amit Kumar Singh
Archives of Computational Methods in Engineering (2023) Vol. 31, Iss. 3, pp. 1277-1296
Closed Access | Times Cited: 10
Ensemble transformer-based multiple instance learning to predict pathological subtypes and tumor mutational burden from histopathological whole slide images of endometrial and colorectal cancer
Ching‐Wei Wang, Tzu-Chien Liu, Po-Jen Lai, et al.
Medical Image Analysis (2024) Vol. 99, pp. 103372-103372
Closed Access | Times Cited: 3
Machine learning- based lung disease diagnosis from CT images using Gabor features in Littlewood Paley empirical wavelet transform (LPEWT) and LLE
Rajneesh Kumar Patel, Manish Kashyap
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 5, pp. 1762-1776
Closed Access | Times Cited: 8
Ensemble Deep Learning and Machine Learning: Applications, Opportunities, Challenges, and Future Directions
Nitin Liladhar Rane, Saurabh Choudhary, Jayesh Rane
SSRN Electronic Journal (2024)
Closed Access | Times Cited: 2
Intelligent breast cancer diagnosis with two-stage using mammogram images
Muhammad Yaqub, Jinchao Feng, Nazish Aijaz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Cervical cancer detection using K nearest neighbor imputer and stacked ensemble learningmodel
Xiaoyuan Chen, Turki Aljrees, Muhammad Umer, et al.
Digital Health (2023) Vol. 9
Open Access | Times Cited: 6
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
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
Biomedical Mammography Image Classification Using Patches-Based Feature Engineering with Deep Learning and Ensemble Classifier
Ramesh Chandra Poonia, Kamal Upreti, Samreen Jafri, et al.
Lecture notes in networks and systems (2024), pp. 275-285
Closed Access | Times Cited: 1
Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan
Harendra Singh, Arun Kumar Rana, Jayant Giri, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2024) Vol. 12, Iss. 1
Open Access | Times Cited: 1
BCED-Net: Breast Cancer Ensemble Diagnosis Network using transfer learning and the XGBoost classifier with mammography images
Drishti Arora, Rakesh Garg, Farhan Asif
Osong Public Health and Research Perspectives (2024) Vol. 15, Iss. 5, pp. 409-419
Open Access | Times Cited: 1
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