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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:

Brain tumor classification using deep convolutional autoencoder-based neural network: multi-task approach
Fatemh Bashir-Gonbadi, Hassan Khotanlou
Multimedia Tools and Applications (2021) Vol. 80, Iss. 13, pp. 19909-19929
Closed Access | Times Cited: 24

Showing 24 citing articles:

Deep learning-integrated MRI brain tumor analysis: feature extraction, segmentation, and Survival Prediction using Replicator and volumetric networks
Deependra Rastogi, Prashant Johri, Massimo Donelli, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
An attention-guided convolutional neural network for automated classification of brain tumor from MRI
Sumeet Saurav, Ayush Sharma, Ravi Saini, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 3, pp. 2541-2560
Closed Access | Times Cited: 39
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
Deep learning for multi-grade brain tumor detection and classification: a prospective survey
K. Bhagyalaxmi, B. Dwarakanath, P. Vijaya Pal Reddy
Multimedia Tools and Applications (2024) Vol. 83, Iss. 25, pp. 65889-65911
Closed Access | Times Cited: 8
Brain tumour detection using machine and deep learning: a systematic review
Novsheena Rasool, Javaid Iqbal Bhat
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6
Improving brain tumor classification with combined convolutional neural networks and transfer learning
Ramazan İncir, Ferhat Bozkurt
Knowledge-Based Systems (2024) Vol. 299, pp. 111981-111981
Closed Access | Times Cited: 6
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
An Ensemble of Optimal Deep Learning Features for Brain Tumor Classification
Ahsan Aziz, Muhammad Attique, Usman Tariq, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2021) Vol. 69, Iss. 2, pp. 2653-2670
Open Access | Times Cited: 36
Brain tumor detection using CNN, AlexNet & GoogLeNet ensembling learning approaches
Chetan Swarup, Kamred Udham Singh, Ankit Kumar, et al.
Electronic Research Archive (2023) Vol. 31, Iss. 5, pp. 2900-2924
Open Access | Times Cited: 14
Two-Phase Multitask Autoencoder-Based Deep Learning Framework for Subject-Independent EEG Motor Imagery Classification
ChangGyun Jin, Andrew H. Song, Seong‐Eun Kim
IEEE Access (2024) Vol. 12, pp. 77356-77367
Open Access | Times Cited: 3
Synergy Factorized Bilinear Network with a Dual Suppression Strategy for Brain Tumor Classification in MRI
Guanghua Xiao, Huibin Wang, Jie Shen, et al.
Micromachines (2021) Vol. 13, Iss. 1, pp. 15-15
Open Access | Times Cited: 14
Brain tumor classification by using a novel convolutional neural network structure
Özlem Polat, Zümray Dokur, Tamer Ölmez
International Journal of Imaging Systems and Technology (2022) Vol. 32, Iss. 5, pp. 1646-1660
Closed Access | Times Cited: 10
TE-CapsNet: time efficient capsule network for automatic disease classification from medical images
Sulbha Yadav, Sudhir Dhage
Multimedia Tools and Applications (2023) Vol. 83, Iss. 16, pp. 49389-49418
Closed Access | Times Cited: 5
Multiclass classification of central nervous system brain tumor types based on proposed hybrid texture feature extraction methods and ensemble learning
Kirti Raj Bhatele, Sarita Singh Bhadauria
Multimedia Tools and Applications (2022) Vol. 82, Iss. 3, pp. 3831-3858
Closed Access | Times Cited: 9
Deep Learning Approaches for Brain Tumor Detection and Classification Using MRI Images (2020 to 2024): A Systematic Review
Sara Bouhafra, Hassan El Bahi
Deleted Journal (2024)
Closed Access | Times Cited: 1
DeepBrainTumorNet: An effective framework of heuristic-aided brain Tumour detection and classification system using residual Attention-Multiscale Dilated inception network
A. Vinisha, Ravi Boda
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107180-107180
Closed Access | Times Cited: 1
Distinctive approach in brain tumor detection and feature extraction using biologically inspired DWT method and SVM
Ankit Kumar, Saroj Kumar Pandey, Neeraj Varshney, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 2
Deep Learning Model Development for an Automatic Healthcare Edge Computing Application
Hadi Talal, Ruaa Ali Khamis, Laith Al-Frady
Lecture notes in electrical engineering (2024), pp. 99-111
Closed Access
OPTIMIZED U-NET SEGMENTATION MODEL AND DEEP MAXOUT CLASSIFIER FOR BRAIN TUMOR CLASSIFICATION
Subha Thomas, R. Sudarmani
Biomedical Engineering Applications Basis and Communications (2024) Vol. 36, Iss. 05
Closed Access
A Framework for Detecting Pulmonary Diseases from Lung Sound Signals Using a Hybrid Multi-Task Autoencoder-SVM Model
Khwanjit Orkweha, Khomdet Phapatanaburi, Wongsathon Pathonsuwan, et al.
Symmetry (2024) Vol. 16, Iss. 11, pp. 1413-1413
Open Access
Gaussian Weighted Deep CNN with LSTM for Brain Tumor Detection
Vinay Kumar, Grace Kanmani Prince P
International Journal of Electrical and Electronics Engineering (2023) Vol. 10, Iss. 1, pp. 197-208
Open Access
An Evaluation of Different Deep Feature Extraction Approaches for MRI-Based Brain Tumor Detection
Nehal A. Sakr, Fatma El-Zahraa El Gamal, Reem El-Deeb, et al.
(2023) Vol. 11, pp. 1-6
Closed Access
ВИКОРИСТАННЯ ГЛИБОКИХ НЕЙРОННИХ МЕРЕЖ ДЛЯ ПОРІВНЯЛЬНОГО АНАЛІЗУ НОРМИ, ПНЕВМОНІЇ І COVID-19
Роман Юхимюк, Марко Шкепаст, Євген Настенко, et al.
Біомедична інженерія і технологія (2023), Iss. 12, pp. 56-64
Open Access
Multiclass Classification of Brain Tumor for MR Images Using Shallow Autoencoder Based Neural Network
Parvathy Jyothi, S. Dhanasekaran, Robert A Singh
2022 IEEE 2nd International Conference on Mobile Networks and Wireless Communications (ICMNWC) (2022), pp. 1-5
Closed Access
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