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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:

Transfer learning based histopathologic image classification for breast cancer detection
Erkan Deniz, Abdulkadir Şengür, Zehra Kadiroğlu, et al.
Health Information Science and Systems (2018) Vol. 6, Iss. 1
Open Access | Times Cited: 314

Showing 1-25 of 314 citing articles:

Brain tumor classification using deep CNN features via transfer learning
S. Deepak, P. M. Ameer
Computers in Biology and Medicine (2019) Vol. 111, pp. 103345-103345
Closed Access | Times Cited: 1005
Deep learning approaches for COVID-19 detection based on chest X-ray images
Aras Masood Ismael, Abdulkadir Şengür
Expert Systems with Applications (2020) Vol. 164, pp. 114054-114054
Open Access | Times Cited: 676
A Deep Learning Model Based on Concatenation Approach for the Diagnosis of Brain Tumor
Neelum Noreen, Sellappan Palaniappan, Abdul Qayyum, et al.
IEEE Access (2020) Vol. 8, pp. 55135-55144
Open Access | Times Cited: 358
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Muhammet Fatih Aslan, Muhammed Fahri Ünlerşen, Kadir Sabancı, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106912-106912
Open Access | Times Cited: 315
Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images
Yusuf Çelik, Muhammed Talo, Özal Yıldırım, et al.
Pattern Recognition Letters (2020) Vol. 133, pp. 232-239
Closed Access | Times Cited: 294
A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
Abeer Saber, Mohamed Sakr, Osama M. Abo-Seida, et al.
IEEE Access (2021) Vol. 9, pp. 71194-71209
Open Access | Times Cited: 293
Classification and prediction of diabetes disease using machine learning paradigm
Md. Maniruzzaman, Md. Jahanur Rahman, Benojir Ahammed, et al.
Health Information Science and Systems (2020) Vol. 8, Iss. 1
Open Access | Times Cited: 274
Deep CNN for Brain Tumor Classification
Wadhah Ayadi, Wajdi Elhamzi, Imen Charfi, et al.
Neural Processing Letters (2021) Vol. 53, Iss. 1, pp. 671-700
Closed Access | Times Cited: 264
Transfer learning techniques for medical image analysis: A review
Padmavathi Kora, Chui Ping Ooi, Oliver Faust, et al.
Journal of Applied Biomedicine (2021) Vol. 42, Iss. 1, pp. 79-107
Closed Access | Times Cited: 240
Breast Cancer Histopathology Image Classification Using an Ensemble of Deep Learning Models
Zabit Hameed, Sofia Zahia, Begonya García-Zapirain, et al.
Sensors (2020) Vol. 20, Iss. 16, pp. 4373-4373
Open Access | Times Cited: 209
Comparison of Convolutional Neural Network Architectures for Classification of Tomato Plant Diseases
Valeria Maeda-Gutiérrez, Carlos E. Galván-Tejada, Laura A. Zanella-Calzada, et al.
Applied Sciences (2020) Vol. 10, Iss. 4, pp. 1245-1245
Open Access | Times Cited: 207
Deep convolutional neural networks with transfer learning for automated brain image classification
Taranjit Kaur, Tapan Kumar Gandhi
Machine Vision and Applications (2020) Vol. 31, Iss. 3
Closed Access | Times Cited: 192
Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning
Md. Alamin Talukder, Md. Manowarul Islam, Md Ashraf Uddin, et al.
Expert Systems with Applications (2022) Vol. 205, pp. 117695-117695
Open Access | Times Cited: 176
Deep learning in mammography images segmentation and classification: Automated CNN approach
Wessam M. Salama, Moustafa H. Aly
Alexandria Engineering Journal (2021) Vol. 60, Iss. 5, pp. 4701-4709
Open Access | Times Cited: 175
Convolutional neural networks based efficient approach for classification of lung diseases
Fatih Demir, Abdulkadir Şengür, Varun Bajaj
Health Information Science and Systems (2019) Vol. 8, Iss. 1
Open Access | Times Cited: 170
Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm
Xiuzhen Cai, Xia Li, Navid Razmjooy, et al.
Computational and Mathematical Methods in Medicine (2021) Vol. 2021, pp. 1-13
Open Access | Times Cited: 136
Survey on Machine Learning and Deep Learning Applications in Breast Cancer Diagnosis
Gunjan Chugh, Shailender Kumar, Nanhay Singh
Cognitive Computation (2021) Vol. 13, Iss. 6, pp. 1451-1470
Closed Access | Times Cited: 116
Deep learning models and traditional automated techniques for brain tumor segmentation in MRI: a review
Parvathy Jyothi, A. Robert Singh
Artificial Intelligence Review (2022) Vol. 56, Iss. 4, pp. 2923-2969
Closed Access | Times Cited: 81
Detection and classification of chilli leaf disease using a squeeze-and-excitation-based CNN model
B. Nageswararao Naik, R. Malmathanraj, P. Palanisamy
Ecological Informatics (2022) Vol. 69, pp. 101663-101663
Closed Access | Times Cited: 72
Hyperparameter Optimizer with Deep Learning-Based Decision-Support Systems for Histopathological Breast Cancer Diagnosis
Marwa Obayya, Mashael Maashi, Nadhem Nemri, et al.
Cancers (2023) Vol. 15, Iss. 3, pp. 885-885
Open Access | Times Cited: 53
Deep Learning-Based Metaheuristic Weighted K-Nearest Neighbor Algorithm for the Severity Classification of Breast Cancer
S. R. Sannasi Chakravarthy, N. Bharanidharan, Harikumar Rajaguru
IRBM (2023) Vol. 44, Iss. 3, pp. 100749-100749
Closed Access | Times Cited: 52
Breast cancer diagnosis from histopathology images using deep neural network and XGBoost
Alireza Maleki, Mohammad Raahemi, Hamid Nasiri
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105152-105152
Closed Access | Times Cited: 51
Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach
K. Kavin Kumar, P. M. Dinesh, P. Rayavel, et al.
Computer Systems Science and Engineering (2023) Vol. 46, Iss. 2, pp. 1845-1861
Open Access | Times Cited: 49
Automated detection and classification of leukemia on a subject-independent test dataset using deep transfer learning supported by Grad-CAM visualization
Arjun Abhishek, Rajib Kumar Jha, Ruchi Sinha, et al.
Biomedical Signal Processing and Control (2023) Vol. 83, pp. 104722-104722
Closed Access | Times Cited: 48
Pre-trained deep learning models for brain MRI image classification
Srigiri Krishnapriya, Yepuganti Karuna
Frontiers in Human Neuroscience (2023) Vol. 17
Open Access | Times Cited: 47
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