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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:

Convolutional Neural Networks based classification of breast ultrasonography images by hybrid method with respect to benign, malignant, and normal using mRMR
Yeşim Eroğlu, Muhammed Yıldırım, Ahmet Çınar
Computers in Biology and Medicine (2021) Vol. 133, pp. 104407-104407
Closed Access | Times Cited: 102

Showing 1-25 of 102 citing articles:

An optimized deep learning architecture for breast cancer diagnosis based on improved marine predators algorithm
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali
Neural Computing and Applications (2022) Vol. 34, Iss. 20, pp. 18015-18033
Open Access | Times Cited: 102
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
Mahati Munikoti Srikantamurthy, V.P. Subramanyam Rallabandi, Dawood B. Dudekula, et al.
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 88
High accuracy hybrid CNN classifiers for breast cancer detection using mammogram and ultrasound datasets
Adyasha Sahu, Pradeep Kumar Das, Sukadev Meher
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104292-104292
Closed Access | Times Cited: 77
DeepBreastCancerNet: A Novel Deep Learning Model for Breast Cancer Detection Using Ultrasound Images
Asaf Raza, Naeem Ullah, Javed Ali Khan, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2082-2082
Open Access | Times Cited: 57
Efficient Breast Cancer Diagnosis from Complex Mammographic Images Using Deep Convolutional Neural Network
Hameedur Rahman, Tanvir Fatima Naik Bukht, Rozilawati Ahmad, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 43
Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 15
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
A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection
Shahab Ahmad, Tahir Ullah, Ijaz Ahmad, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-14
Open Access | Times Cited: 56
Boosting chameleon swarm algorithm with consumption AEO operator for global optimization and feature selection
Reham R. Mostafa, Ahmed A. Ewees, Rania M. Ghoniem, et al.
Knowledge-Based Systems (2022) Vol. 246, pp. 108743-108743
Closed Access | Times Cited: 53
Artificial Intelligence-Based Breast Cancer Diagnosis Using Ultrasound Images and Grid-Based Deep Feature Generator
Haixia Liu, Guozhong Cui, Yi Luo, et al.
International Journal of General Medicine (2022) Vol. Volume 15, pp. 2271-2282
Open Access | Times Cited: 50
A novel deep learning model for breast lesion classification using ultrasound Images: A multicenter data evaluation
Nasim Sirjani, Mostafa Ghelich Oghli, Mohammad Kazem Tarzamni, et al.
Physica Medica (2023) Vol. 107, pp. 102560-102560
Closed Access | Times Cited: 35
Breast Cancer Detection and Prevention Using Machine Learning
Arslan Khalid, Arif Mehmood, Amerah Alabrah, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3113-3113
Open Access | Times Cited: 31
Breast Cancer Detection in Mammography Images: A CNN-Based Approach with Feature Selection
Zahra Jafari, Ebrahim Karami
Information (2023) Vol. 14, Iss. 7, pp. 410-410
Open Access | Times Cited: 26
Applying Deep Learning Methods for Mammography Analysis and Breast Cancer Detection
Marcel Prodan, Elena Paraschiv, Alexandru Stanciu
Applied Sciences (2023) Vol. 13, Iss. 7, pp. 4272-4272
Open Access | Times Cited: 25
A comparative study between conventional chemotherapy and photothermal activated nano-sized targeted drug delivery to solid tumor
Mohammad Kiani Shahvandi, Mohammad Souri, Shaghayegh Tavasoli, et al.
Computers in Biology and Medicine (2023) Vol. 166, pp. 107574-107574
Closed Access | Times Cited: 25
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: 22
Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques
Liangyu Li, Jing Yang, Lip Yee Por, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26192-e26192
Open Access | Times Cited: 8
A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination
Sreedhar Kollem, S. Chandrasekhar, Samineni Peddakrishna
Biomedical Signal Processing and Control (2024) Vol. 95, pp. 106406-106406
Closed Access | Times Cited: 7
mRMR‐based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images
Yeşim Eroğlu, Muhammed Yıldırım, Ahmet Çınar
International Journal of Imaging Systems and Technology (2021) Vol. 32, Iss. 2, pp. 517-527
Closed Access | Times Cited: 45
Bi-Modal Transfer Learning for Classifying Breast Cancers via Combined B-Mode and Ultrasound Strain Imaging
Sampa Misra, Seungwan Jeon, Ravi Managuli, et al.
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (2021) Vol. 69, Iss. 1, pp. 222-232
Closed Access | Times Cited: 41
COVID-19 Detection on Chest X-ray Images with the Proposed Model Using Artificial Intelligence and Classifiers
Muhammed Yıldırım, Orkun Eroğlu, Yeşim Eroğlu, et al.
New Generation Computing (2022) Vol. 40, Iss. 4, pp. 1077-1091
Open Access | Times Cited: 35
Semi-supervised vision transformer with adaptive token sampling for breast cancer classification
Wei Wang, Ran Jiang, Ning Cui, et al.
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 34
Deep Learning Approaches for Classification of Breast Cancer in Ultrasound (US) Images
İshak Paçal
Iğdır Üniversitesi Fen Bilimleri Enstitüsü Dergisi (2022) Vol. 12, Iss. 4, pp. 1917-1927
Closed Access | Times Cited: 27
A Hybrid GCN and Filter-Based Framework for Channel and Feature Selection: An fNIRS-BCI Study
Amad Zafar, Karam Dad Kallu, M. Atif Yaqub, et al.
International Journal of Intelligent Systems (2023) Vol. 2023, pp. 1-14
Open Access | Times Cited: 16
Deep Learning-Based Multi-Modal Ensemble Classification Approach for Human Breast Cancer Prognosis
Ehtisham Khan Jadoon, Fiaz Gul Khan, Sajid Shah, et al.
IEEE Access (2023) Vol. 11, pp. 85760-85769
Open Access | Times Cited: 16
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