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:

Smart brain tumor diagnosis system utilizing deep convolutional neural networks
Yıldıray Anagün
Multimedia Tools and Applications (2023) Vol. 82, Iss. 28, pp. 44527-44553
Open Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Self-attention based progressive generative adversarial network optimized with momentum search optimization algorithm for classification of brain tumor on MRI image
N. Nagarani, R. Karthick, M. Sandra Carmel Sophia, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105597-105597
Closed Access | Times Cited: 40
A hybrid deep CNN model for brain tumor image multi-classification
Saravanan Srinivasan, Divya Francis, Sandeep Kumar Mathivanan, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 18
Advances in the Use of Deep Learning for the Analysis of Magnetic Resonance Image in Neuro-Oncology
Carla Pitarch, Gülnur Ungan, Margarida Julià‐Sapé, et al.
Cancers (2024) Vol. 16, Iss. 2, pp. 300-300
Open Access | Times Cited: 5
MultiModNet: An automated multimodal network for brain tumor volume determination and grading with three-dimensional u-net and deformable voxel fusion
T. Jeslin, T. Thanya
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107469-107469
Closed Access
Context aware machine learning techniques for brain tumor classification and detection – A Review
Usman Amjad, Asif Raza, Muhammad Fahad, et al.
Heliyon (2025) Vol. 11, Iss. 2, pp. e41835-e41835
Open Access
Detection of MRI brain tumor using residual skip block based modified MobileNet model
Saif Ur Rehman Khan, Ming Zhao, Yangfan Li
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Secure Hybrid Deep Learning for MRI-Based Brain Tumor Detection in Smart Medical IoT Systems
Nermeen Gamal Rezk, Samah Alshathri, Amged Sayed Abdelmageed Mahmoud, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 639-639
Open Access
Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and ResNet50
Rabei Raad Ali, Noorayisahbe Mohd Yaacob, Marwan Harb Alqaryouti, et al.
Diagnostics (2025) Vol. 15, Iss. 5, pp. 624-624
Open Access
The Smart Performance Comparison of AI-based Breast Cancer Detection Models
Sana Samreen, Abdul Sajid Mohammed, Anuteja Reddy Neravetla, et al.
(2024), pp. 1-6
Closed Access | Times Cited: 4
Using a generative adversarial network to generate synthetic MRI images for multi-class automatic segmentation of brain tumors
Pranali Raut, Giulia Baldini, Mirjam Schöneck, et al.
Frontiers in Radiology (2024) Vol. 3
Open Access | Times Cited: 3
Improvement of Brain Tumor Categorization using Deep Learning: A Comprehensive Investigation and Comparative Analysis
T. Lakshmi Prasanthi, N. Neelima
Procedia Computer Science (2024) Vol. 233, pp. 703-712
Open Access | Times Cited: 3
Comparison Analysis of CXR Images in Detecting Pneumonia Using VGG16 and ResNet50 Convolution Neural Network Model
Nur Izdihar, Syarifah Bahiyah Rahayu, K. Venkatesan
JOIV International Journal on Informatics Visualization (2024) Vol. 8, Iss. 1, pp. 326-326
Open Access | Times Cited: 2
Mandarin orange (Citrus reticulata Blanco cv. Batu 55) ripeness parameters prediction using combined reflectance-fluorescence images and deep convolutional neural network (DCNN) regression model
Dimas Firmanda Al Riza, Abdul Mulukul Ikrom, Ahmad Avatar Tulsi, et al.
Scientia Horticulturae (2024) Vol. 331, pp. 113089-113089
Closed Access | Times Cited: 2
A brain tumor prediction system for detecting the tumor disease using mini batch K-Means clustering and CNN
Sannasi Ganapathy, Vikrant Thoidingjam, Amrit Sen
Multimedia Tools and Applications (2024) Vol. 83, Iss. 35, pp. 83053-83091
Closed Access | Times Cited: 1
Texture analysis: A potential tool to differentiate primary brain tumors and solitary brain metastasis
Silvana A.S. Souza, Raissa Alexia Camargo Guassu, Allan Felipe Fattori Alves, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 13, pp. 39523-39535
Closed Access | Times Cited: 3
Detection and Segmentation of Meningioma Tumors Using the Proposed MENCNN Model
John Nisha Anita, Sujatha Kumaran
Journal of Advanced Research in Applied Sciences and Engineering Technology (2023) Vol. 32, Iss. 2, pp. 1-13
Open Access | Times Cited: 3
Resnet -101 and Faster R-CNN Fusion Accurate Brain Tumor Detection and Categorization
Kavin Kumar K, S Srimathi, B Suhashini, et al.
(2024), pp. 1-6
Closed Access
MSFNet‐2SE: A multi‐scale fusion convolutional network for Alzheimer's disease classification on magnetic resonance images
Liwen Zhang, Rongwei Xia, Baiyang Yang, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 4
Closed Access
Detection of Brain Tumor using Medical Images: A Comparative Study of Machine Learning Algorithms – A Systematic Literature Review
Solomon Antwi Buabeng, Atta Yaw Agyeman, Samuel Gbli Tetteh, et al.
International Journal of Latest Technology in Engineering Management & Applied Science (2024) Vol. 13, Iss. 9, pp. 77-85
Open Access
A Hybrid Deep Learning Model with Data Augmentation to Improve Tumor Classification Using MRI Images
Eman M. G. Younis, Mahmoud Nabil Mahmoud, Abdullah M. Albarrak, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2710-2710
Open Access
Enhanced neurological anomaly detection in MRI images using deep convolutional neural networks
Ahmed Mateen Buttar, Zein Shaheen, Abdu Gumaei, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access
Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and Resnet50
Rabei Raad Ali, Noorayisahbe Mohd Yaacob, Eko Hari Rachmawanto, et al.
(2024)
Closed Access
Learning Architecture for Brain Tumor Classification Based on Deep Convolutional Neural Network: Classic and Resnet50
Rabei Raad Ali, Mohamed Doheir, Noorayisahbe Mohd Yaacob, et al.
(2024)
Closed Access
Brain Tumor Detection Using a Deep CNN Model
Sonia Ben Brahim, Samia Dardouri, Ridha Bouallègue
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access
Performance Analysis of Several CNN Based Models for Brain MRI in Tumor Classification
Imayanmosha Wahlang, Fabiola Hazel Pohrmen
(2024), pp. 1-6
Closed Access
Page 1 - Next Page

Scroll to top