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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 network improvement for breast cancer classification
Fung Fung Ting, Yen Jun Tan, Kok Swee Sim
Expert Systems with Applications (2018) Vol. 120, pp. 103-115
Closed Access | Times Cited: 389

Showing 1-25 of 389 citing articles:

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review
Essam H. Houssein, Marwa M. Emam, Abdelmgeid A. Ali, et al.
Expert Systems with Applications (2020) Vol. 167, pp. 114161-114161
Closed Access | Times Cited: 317
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
Statistical and machine learning models in credit scoring: A systematic literature survey
Xolani Dastile, Turgay Çelik, Moshe Moses Potsane
Applied Soft Computing (2020) Vol. 91, pp. 106263-106263
Closed Access | Times Cited: 278
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
Mesut Toğaçar, Kutsal Baran Özkurt, Burhan Ergen, et al.
Physica A Statistical Mechanics and its Applications (2019) Vol. 545, pp. 123592-123592
Closed Access | Times Cited: 226
Breast Cancer Detection and Diagnosis Using Mammographic Data: Systematic Review
Syed Jamal Safdar Gardezi, Ahmed Elazab, Baiying Lei, et al.
Journal of Medical Internet Research (2019) Vol. 21, Iss. 7, pp. e14464-e14464
Open Access | Times Cited: 217
IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning
Shahan Yamin Siddiqui, Amir Haider, Taher M. Ghazal, et al.
IEEE Access (2021) Vol. 9, pp. 146478-146491
Open Access | Times Cited: 196
Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling
Irum Hirra, Mubashir Ahmad, Ayaz Hussain, et al.
IEEE Access (2021) Vol. 9, pp. 24273-24287
Open Access | Times Cited: 174
Deep Learning for Breast Cancer Diagnosis from Mammograms—A Comparative Study
Lazaros Tsochatzidis, Lena Costaridou, Ioannis Pratikakis
Journal of Imaging (2019) Vol. 5, Iss. 3, pp. 37-37
Open Access | Times Cited: 173
Performance of a Novel Chaotic Firefly Algorithm with Enhanced Exploration for Tackling Global Optimization Problems: Application for Dropout Regularization
Nebojša Bačanin, Ruxandra Stoean, Miodrag Živković, et al.
Mathematics (2021) Vol. 9, Iss. 21, pp. 2705-2705
Open Access | Times Cited: 164
Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine
Vivek Lahoura, Harpreet Singh, Ashutosh Aggarwal, et al.
Diagnostics (2021) Vol. 11, Iss. 2, pp. 241-241
Open Access | Times Cited: 159
A framework for breast cancer classification using Multi-DCNNs
Dina A. Ragab, Omneya Attallah, Maha Sharkas, et al.
Computers in Biology and Medicine (2021) Vol. 131, pp. 104245-104245
Open Access | Times Cited: 146
Computational Technique Based on Machine Learning and Image Processing for Medical Image Analysis of Breast Cancer Diagnosis
V. Durga Prasad Jasti, Abu Sarwar Zamani, K. Arumugam, et al.
Security and Communication Networks (2022) Vol. 2022, pp. 1-7
Open Access | Times Cited: 134
An efficient deep Convolutional Neural Network based detection and classification of Acute Lymphoblastic Leukemia
Pradeep Kumar Das, Sukadev Meher
Expert Systems with Applications (2021) Vol. 183, pp. 115311-115311
Closed Access | Times Cited: 124
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
Hybrid CNN and XGBoost Model Tuned by Modified Arithmetic Optimization Algorithm for COVID-19 Early Diagnostics from X-ray Images
Miodrag Živković, Nebojša Bačanin, Miloš Antonijević, et al.
Electronics (2022) Vol. 11, Iss. 22, pp. 3798-3798
Open Access | Times Cited: 110
Semi-supervised GAN-based Radiomics Model for Data Augmentation in Breast Ultrasound Mass Classification
Ting Pang, Jeannie Hsiu Ding Wong, Wei Lin Ng, et al.
Computer Methods and Programs in Biomedicine (2021) Vol. 203, pp. 106018-106018
Closed Access | Times Cited: 109
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: 107
Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application
Nebojša Bačanin, Miodrag Živković, Fadi Al‐Turjman, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 93
Artificial intelligence for breast cancer analysis: Trends & directions
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105221-105221
Open Access | Times Cited: 84
Image Augmentation Techniques for Mammogram Analysis
Parita Oza, Paawan Sharma, Samir Patel, et al.
Journal of Imaging (2022) Vol. 8, Iss. 5, pp. 141-141
Open Access | Times Cited: 71
A Comprehensive Review on Breast Cancer Detection, Classification and Segmentation Using Deep Learning
Barsha Abhisheka, Saroj Kr. Biswas, Biswajit Purkayastha
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 8, pp. 5023-5052
Closed Access | Times Cited: 67
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: 62
ME-CCNN: Multi-encoded images and a cascade convolutional neural network for breast tumor segmentation and recognition
Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, N. Sarshar, et al.
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 10099-10136
Closed Access | Times Cited: 46
Machine learning and deep learning techniques for breast cancer diagnosis and classification: a comprehensive review of medical imaging studies
Mehran Radak, Haider Yabr Lafta, Hossein Fallahi
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 12, pp. 10473-10491
Closed Access | Times Cited: 45
Automated breast cancer detection in mammography using ensemble classifier and feature weighting algorithms
Fei Yan, Hesheng Huang, Witold Pedrycz, et al.
Expert Systems with Applications (2023) Vol. 227, pp. 120282-120282
Closed Access | Times Cited: 43
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