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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:

Combining the Transformer and Convolution for Effective Brain Tumor Classification Using MRI Images
Mohammed Aloraini, Asma Khan, Suliman Aladhadh, et al.
Applied Sciences (2023) Vol. 13, Iss. 6, pp. 3680-3680
Open Access | Times Cited: 31

Showing 1-25 of 31 citing articles:

NeuroNet19: an explainable deep neural network model for the classification of brain tumors using magnetic resonance imaging data
Rezuana Haque, Md. Mehedi Hassan, Anupam Kumar Bairagi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 27
Brain tumor classification from MRI scans: a framework of hybrid deep learning model with Bayesian optimization and quantum theory-based marine predator algorithm
Muhammad Sami Ullah, Muhammad Attique Khan, Anum Masood, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 20
Hybrid deep learning approach for brain tumor classification using EfficientNetB0 and novel quantum genetic algorithm
Kerem Gencer, Gülcan Gencer
PeerJ Computer Science (2025) Vol. 11, pp. e2556-e2556
Open Access | Times Cited: 2
Systematic Review of Hybrid Vision Transformer Architectures for Radiological Image Analysis
Ji Woong Kim, Aisha Urooj Khan, Imon Banerjee
Deleted Journal (2025)
Open Access | Times Cited: 1
MEFF – A model ensemble feature fusion approach for tackling adversarial attacks in medical imaging
Laith Alzubaidi, Khamael Al-Dulaimi, Huda Abdul-Hussain Obeed, et al.
Intelligent Systems with Applications (2024) Vol. 22, pp. 200355-200355
Open Access | Times Cited: 11
VITALT: a robust and efficient brain tumor detection system using vision transformer with attention and linear transformation
S. Poornam, J. Jane Rubel Angelina
Neural Computing and Applications (2024) Vol. 36, Iss. 12, pp. 6403-6419
Closed Access | Times Cited: 5
Utilizing customized CNN for brain tumor prediction with explainable AI
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
Heliyon (2024) Vol. 10, Iss. 20, pp. e38997-e38997
Open Access | Times Cited: 5
An attention-fused architecture for brain tumor diagnosis
Arash Hekmat, Zuping Zhang, Saif Ur Rehman Khan, et al.
Biomedical Signal Processing and Control (2024) Vol. 101, pp. 107221-107221
Closed Access | Times Cited: 5
Hybrid ViT-CapsNet Framework for Brain Tumor Diagnosis Using Biomedical MRI
S Simran, Shiva Mehta, Vinay Kukreja, et al.
Biomedical & Pharmacology Journal (2025) Vol. 18, Iss. December Spl Edition, pp. 99-119
Open Access
Understanding the brain with attention: A survey of transformers in brain sciences
Cheng Chen, Huilin Wang, Yunqing Chen, et al.
Brain‐X (2023) Vol. 1, Iss. 3
Open Access | Times Cited: 15
Improved Multiclass Brain Tumor Detection via Customized Pretrained EfficientNetB7 Model
Hafiz Muhammad Tayyab Khushi, Tehreem Masood, Arfan Jaffar, et al.
IEEE Access (2023) Vol. 11, pp. 117210-117230
Open Access | Times Cited: 13
Vision transformers (ViT) and deep convolutional neural network (D-CNN)-based models for MRI brain primary tumors images multi-classification supported by explainable artificial intelligence (XAI)
Hiba Mzoughi, Ines Njeh, Mohamed Benslima, et al.
The Visual Computer (2024)
Closed Access | Times Cited: 4
Automated Ischemic Stroke Classification from MRI Scans: Using a Vision Transformer Approach
Wafae Abbaoui, Sara Retal, S. Ziti, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 8, pp. 2323-2323
Open Access | Times Cited: 2
Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network
M. Ramkumar, R. Sarath Kumar, R. Padmapriya, et al.
International Journal of Imaging Systems and Technology (2024) Vol. 34, Iss. 1
Closed Access | Times Cited: 2
Feature selection using adaptive manta ray foraging optimization for brain tumor classification
K. S. Neetha, Dayanand Lal Narayan
Pattern Analysis and Applications (2024) Vol. 27, Iss. 2
Closed Access | Times Cited: 2
Systematic Review of Hybrid Vision Transformer Architectures for Radiological Image Analysis
Ji Woong Kim, Aisha Urooj Khan, Imon Banerjee
medRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Da-resbigru -brain tumor classification using Dual attention residual bi directional gated recurrent unit using MRI images
Paruvelli Sreedevi, Ajmeera Kiran, T. Santhi Sri, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105596-105596
Closed Access | Times Cited: 4
Utilizing Customized Cnn for Brain Tumor Prediction with Explainable Ai
Md. Imran Nazir, Afsana Akter, Md. Anwar Hussen Wadud, et al.
(2024)
Closed Access | Times Cited: 1
TransNetV: An optimized hybrid model for enhanced colorectal cancer image classification
Mohsan Tanveer, Muhammad Usman Akram, Asad Khan
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106579-106579
Closed Access | Times Cited: 1
Optimizing healthcare data quality with optimal features driven mutual entropy gain
Sushil Kumar Singh, Shailendrasinh Chauhan, Abdulrahman Alsafrani, et al.
Expert Systems (2024)
Closed Access | Times Cited: 1
Vision transformer with feature calibration and selective cross-attention for brain tumor classification
Mohammad Ali Labbaf Khaniki, Marzieh Mirzaeibonehkhater, Mohammad Manthouri, et al.
Iran Journal of Computer Science (2024)
Closed Access | Times Cited: 1
Segmentation and classification of brain tumour using LRIFCM and LSTM
K. S. Neetha, Dayanand Lal Narayan
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76705-76730
Closed Access
Brain MRI classification for tumor detection with deep pre-trained models
Ameni Yazzeoui, Afef Elloumi Oueslati
(2024), pp. 182-187
Closed Access
Detection of brain tumor using Hybridized 3D U-Net model on MRI images
J. Shreeharsha
Multimedia Tools and Applications (2024)
Closed Access
Brain tumor classification utilizing pixel distribution and spatial dependencies higher-order statistical measurements through explainable ML models
Sharmin Akter, Md. Simul Hasan Talukder, Sohag Kumar Mondal, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
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