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:

Evolutionary Model for Brain Cancer-Grading and Classification
Faizan Ullah, Muhammad Nadeem, Mohammad Abrar, et al.
IEEE Access (2023) Vol. 11, pp. 126182-126194
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Enhancing brain tumor detection in MRI images through explainable AI using Grad-CAM with Resnet 50
M. Mohamed Musthafa, T R Mahesh, V. Vinoth Kumar, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 23
Convolutional neural network (CNN) configuration using a learning automaton model for neonatal brain image segmentation
Iran Sarafraz, Hamed Agahi, Azar Mahmoodzadeh
PLoS ONE (2025) Vol. 20, Iss. 1, pp. e0315538-e0315538
Open Access | Times Cited: 1
BrainNet: Precision Brain Tumor Classification with Optimized EfficientNet Architecture
Md. Manowarul Islam, Md. Alamin Talukder, Md Ashraf Uddin, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 12
Developments in Brain Tumor Segmentation Using MRI: Deep Learning Insights and Future Perspectives
Shahid Karim, Geng Tong, Yiting Yu, et al.
IEEE Access (2024) Vol. 12, pp. 26875-26896
Open Access | Times Cited: 8
A robust classification of brain tumor disease in MRI using twin-attention based dense convolutional auto-encoder
Sandhya Waghere, Jayashri Prashant Shinde
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106088-106088
Closed Access | Times Cited: 6
FKD-Med: Privacy-Aware, Communication-Optimized Medical Image Segmentation via Federated Learning and Model Lightweighting Through Knowledge Distillation
Guanqun Sun, Han Shu, Feihe Shao, et al.
IEEE Access (2024) Vol. 12, pp. 33687-33704
Open Access | Times Cited: 6
A hybrid explainable model based on advanced machine learning and deep learning models for classifying brain tumors using MRI images
Md. Nahiduzzaman, Lway Faisal Abdulrazak, Hafsa Binte Kibria, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Brain Tumor Segmentation and Classification using MRI: Modified Segnet Model and Hybrid Deep Learning Architecture with Improved Texture Features
Palleti Venkata Kusuma, S. Chandra Mohan Reddy
Computational Biology and Chemistry (2025) Vol. 117, pp. 108381-108381
Closed Access
Advanced Brain Tumor MR Image Classification Using a Combination Undecimated Wavelet Transform, EfficientNet-B0 and PCA via Multi-SVM Analysis
Oussama Abda, Hilal Naimi
Iranian Journal of Science and Technology Transactions of Electrical Engineering (2025)
Closed Access
SPBTGNS: Design of an Efficient Model for Survival Prediction in Brain Tumour Patients using Generative Adversarial Network with Neural Architectural Search Operations
Ruqsar Zaitoon, Sachi Nandan Mohanty, Deepthi Godavarthi, et al.
IEEE Access (2024) Vol. 12, pp. 140847-140869
Open Access | Times Cited: 4
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
Enhanced glioma tumor detection and segmentation using modified deep learning with edge fusion and frequency features
K. Pugazharasi, K. Sakthivel
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Automated multi-class MRI brain tumor classification and segmentation using deformable attention and saliency mapping
Erfan Zarenia, A. Far, Khosro Rezaee
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Adaptive Fusion Attention for enhanced classification and interpretability in medical imaging
Nagur Shareef Shaik, N. Veeranjaneulu, Jyostna Devi Bodapati
Machine Vision and Applications (2025) Vol. 36, Iss. 3
Closed Access
ContourTL-Net: Contour-Based Transfer Learning Algorithm for Early-Stage Brain Tumor Detection
N. I. Md. Ashafuddula, Rafiqul Islam
International Journal of Biomedical Imaging (2024) Vol. 2024, pp. 1-20
Open Access | Times Cited: 3
Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines
Emmanuel Ahishakiye, Fredrick Kanobe
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 3
Advancements in deep learning techniques for brain tumor segmentation: A survey
C. Umarani, Shantappa G. Gollagi, Shridhar Allagi, et al.
Informatics in Medicine Unlocked (2024) Vol. 50, pp. 101576-101576
Open Access | Times Cited: 2
Segmentation of MR images for brain tumor detection using autoencoder neural network
Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Discover Artificial Intelligence (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 2
Parkinson's image detection and classification based on deep learning
Hui Li, Zixuan Yang, Weimin Qi, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
G-Net: Implementing an enhanced brain tumor segmentation framework using semantic segmentation design
C. S., Christopher Clement
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0308236-e0308236
Open Access | Times Cited: 1
Advancements in brain tumor analysis: a comprehensive review of machine learning, hybrid deep learning, and transfer learning approaches for MRI-based classification and segmentation
Surajit Das, Rajat Subhra Goswami
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Development of brain tumor radiogenomic classification using GAN-based augmentation of MRI slices in the newly released gazi brains dataset
M M Enes Yurtsever, Yılmaz Atay, Bilgehan Arslan, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Research on state perception of scraper conveyor based on one-dimensional convolutional neural network
Jie Lu, Zhenlin Liu, Chenhui Han, et al.
PLoS ONE (2024) Vol. 19, Iss. 10, pp. e0312229-e0312229
Open Access | Times Cited: 1
Applications of Machine Learning in Cancer Imaging: A Review of Diagnostic Methods for Six Major Cancer Types
Andreea Ionela Dumachi, Cătălin Buiu
Electronics (2024) Vol. 13, Iss. 23, pp. 4697-4697
Open Access | Times Cited: 1
Improved Glioma Grade Prediction with Mean Image Transformation
Shyam Sundhar Yathirajam, Sreedevi Gutta
Lecture notes in computer science (2024), pp. 90-94
Closed Access
Page 1 - Next Page

Scroll to top