Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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 deep learning model using data augmentation for detection of architectural distortion in whole and patches of images
Olaide N. Oyelade, Absalom E. Ezugwu
Biomedical Signal Processing and Control (2020) Vol. 65, pp. 102366-102366
Closed Access | Times Cited: 68

Showing 1-25 of 68 citing articles:

Methods for image denoising using convolutional neural network: a review
Ademola E. Ilesanmi, Taiwo Ilesanmi
Complex & Intelligent Systems (2021) Vol. 7, Iss. 5, pp. 2179-2198
Open Access | Times Cited: 223
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: 67
Brain tumor segmentation based on optimized convolutional neural network and improved chimp optimization algorithm
Ramin Ranjbarzadeh, Payam Zarbakhsh, Annalina Caputo, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107723-107723
Open Access | Times Cited: 44
Mammography and ultrasound based dual modality classification of breast cancer using a hybrid deep learning approach
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 104919-104919
Closed Access | Times Cited: 41
A twin convolutional neural network with hybrid binary optimizer for multimodal breast cancer digital image classification
Olaide N. Oyelade, Eric Aghiomesi Irunokhai, Hui Wang
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 19
A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6116-6116
Open Access | Times Cited: 57
A generative adversarial network for synthetization of regions of interest based on digital mammograms
Olaide N. Oyelade, Absalom E. Ezugwu, Mubarak Almutairi, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 47
A novel wavelet decomposition and transformation convolutional neural network with data augmentation for breast cancer detection using digital mammogram
Olaide N. Oyelade, Absalom E. Ezugwu
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 42
Evaluation of deep learning models for detecting breast cancer using histopathological mammograms Images
Subasish Mohapatra, Sarmistha Muduly, Subhadarshini Mohanty, et al.
Sustainable Operations and Computers (2022) Vol. 3, pp. 296-302
Open Access | Times Cited: 38
Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance
Ahmed S. Elkorany, Zeinab F. Elsharkawy
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 35
Comparison of AI-integrated pathways with human-AI interaction in population mammographic screening for breast cancer
Helen Frazer, Carlos A. Peña‐Solórzano, Chun Fung Kwok, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
A systematic survey of deep learning in breast cancer
Xiang Yu, Qinghua Zhou, Shuihua Wang‎, et al.
International Journal of Intelligent Systems (2021) Vol. 37, Iss. 1, pp. 152-216
Open Access | Times Cited: 41
Machine Learning Research Trends in Africa: A 30 Years Overview with Bibliometric Analysis Review
Absalom E. Ezugwu, Olaide N. Oyelade, Abiodun M. Ikotun, et al.
Archives of Computational Methods in Engineering (2023) Vol. 30, Iss. 7, pp. 4177-4207
Open Access | Times Cited: 18
Development of an Artificial Intelligence-Based Breast Cancer Detection Model by Combining Mammograms and Medical Health Records
Nguyen Thi Hoang Trang, Khương Quỳnh Long, Pham Lê An, et al.
Diagnostics (2023) Vol. 13, Iss. 3, pp. 346-346
Open Access | Times Cited: 17
Multimodal classification of breast cancer using feature level fusion of mammogram and ultrasound images in machine learning paradigm
Kushangi Atrey, Bikesh Kumar Singh, Narendra Kuber Bodhey
Multimedia Tools and Applications (2023) Vol. 83, Iss. 7, pp. 21347-21368
Closed Access | Times Cited: 17
A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images
Anitha Ponraj, P. Nagaraj, D. Balakrishnan, et al.
Digital Health (2025) Vol. 11
Open Access
An AI-Powered Diagnostic Model for Detection of Lung and Liver Cancer
C. Venkatesh, L. Sivayamini, Guruva Reddy, et al.
(2025), pp. 252-271
Closed Access
A comprehensive review of artificial intelligence - based algorithm towards fetal facial anomalies detection (2013–2024)
N. Sriraam, Babu Chinta, Suresh Seshadri, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 5
Open Access
Characterization of abnormalities in breast cancer images using nature‐inspired metaheuristic optimized convolutional neural networks model
Olaide N. Oyelade, Absalom E. Ezugwu
Concurrency and Computation Practice and Experience (2021) Vol. 34, Iss. 4
Closed Access | Times Cited: 33
MNet-10: A robust shallow convolutional neural network model performing ablation study on medical images assessing the effectiveness of applying optimal data augmentation technique
Sidratul Montaha, Sami Azam, A. K. M. Rakibul Haque Rafid, et al.
Frontiers in Medicine (2022) Vol. 9
Open Access | Times Cited: 24
Immunity-based Ebola optimization search algorithm for minimization of feature extraction with reduction in digital mammography using CNN models
Olaide N. Oyelade, Absalom E. Ezugwu
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 23
CNN based color balancing and denoising technique for underwater images: CNN-CBDT
I. Chandra, Rajveer Shastri, D. Kavitha, et al.
Measurement Sensors (2023) Vol. 28, pp. 100835-100835
Open Access | Times Cited: 10
A systematic literature review of visual feature learning: deep learning techniques, applications, challenges and future directions
Mohammed Abdullahi, Olaide N. Oyelade, Armand F. Donfack Kana, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Advanced dwarf mongoose optimization for solving CEC 2011 and CEC 2017 benchmark problems
Jeffrey O. Agushaka, Olatunji Akinola, Absalom E. Ezugwu, et al.
PLoS ONE (2022) Vol. 17, Iss. 11, pp. e0275346-e0275346
Open Access | Times Cited: 16
Addressing architectural distortion in mammogram using AlexNet and support vector machine
Aditi V. Vedalankar, Shankar S. Gupta, Ramchandra Manthalkar
Informatics in Medicine Unlocked (2021) Vol. 23, pp. 100551-100551
Open Access | Times Cited: 20
Page 1 - Next Page

Scroll to top