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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:

Vision Transformers, Ensemble Model, and Transfer Learning Leveraging Explainable AI for Brain Tumor Detection and Classification
Shahriar Hossain, Amitabha Chakrabarty, Thippa Reddy Gadekallu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 28, Iss. 3, pp. 1261-1272
Closed Access | Times Cited: 81

Showing 1-25 of 81 citing articles:

Explainable AI-driven IoMT fusion: Unravelling techniques, opportunities, and challenges with Explainable AI in healthcare
Niyaz Ahmad Wani, Ravinder Kumar, ­ Mamta, et al.
Information Fusion (2024) Vol. 110, pp. 102472-102472
Closed Access | Times Cited: 30
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
Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges
Shen Wang, M. Atif Qureshi, Luis Miralles‐Pechuán, et al.
IEEE Open Journal of the Communications Society (2024) Vol. 5, pp. 2490-2540
Open Access | Times Cited: 22
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 20
Performance of convolutional neural networks for the classification of brain tumors using magnetic resonance imaging
Daniel Reyes, Javier Sánchez
Heliyon (2024) Vol. 10, Iss. 3, pp. e25468-e25468
Open Access | Times Cited: 17
Refining neural network algorithms for accurate brain tumor classification in MRI imagery
Asma Alshuhail, Arastu Thakur, R Chandramma, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 10
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: 10
Explainable artificial intelligence with UNet based segmentation and Bayesian machine learning for classification of brain tumors using MRI images
K. Divya Lakshmi, Sibi Amaran, Subbulakshmi Ganesan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Explainable AI in Diagnostic Radiology for Neurological Disorders: A Systematic Review, and What Doctors Think About It
Yasir Hafeez, Khuhed Memon, Maged S. Al-Quraishi, et al.
Diagnostics (2025) Vol. 15, Iss. 2, pp. 168-168
Open Access | Times Cited: 1
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Ilknur Tuncer, Abdul Hafeez‐Baig, Prabal Datta Barua, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107538-107538
Open Access | Times Cited: 1
GATransformer: A Graph Attention Network-Based Transformer Model to Generate Explainable Attentions for Brain Tumor Detection
Sara Tehsin, Inzamam Mashood Nasir, Robertas Damaševičius
Algorithms (2025) Vol. 18, Iss. 2, pp. 89-89
Open Access | Times Cited: 1
Improved EfficientNet Architecture for Multi-Grade Brain Tumor Detection
Arif Ishaq, Fath U Min Ullah, Prince Hamandawana, et al.
Electronics (2025) Vol. 14, Iss. 4, pp. 710-710
Open Access | Times Cited: 1
A robust approach for multi-type classification of brain tumor using deep feature fusion
Wenna Chen, Xinghua Tan, Jincan Zhang, et al.
Frontiers in Neuroscience (2024) Vol. 18
Open Access | Times Cited: 6
Vision transformer promotes cancer diagnosis: A comprehensive review
Xiaoyan Jiang, Shuihua Wang‎, Yudong Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124113-124113
Closed Access | Times Cited: 6
Advancing Brain Tumor Classification through Fine-Tuned Vision Transformers: A Comparative Study of Pre-Trained Models
Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, et al.
Sensors (2023) Vol. 23, Iss. 18, pp. 7913-7913
Open Access | Times Cited: 16
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
Robust brain tumor classification by fusion of deep learning and channel-wise attention mode approach
Balamurugan A.G, Saravanan Srinivasan, D Preethi, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 5
Transfer Learning for Cancer Detection based on Images Analysis
Amine Bechar, Youssef Elmir, Rafik Medjoudj, et al.
Procedia Computer Science (2024) Vol. 239, pp. 1903-1910
Open Access | Times Cited: 5
Brain tumor detection and classification in MRI using hybrid ViT and GRU model with explainable AI in Southern Bangladesh
Md. Mahfuz Ahmed, Md. Maruf Hossain, Md. Rakibul Islam, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Cardiovascular disease detection using a novel stack-based ensemble classifier with aggregation layer, DOWA operator, and feature transformation
Mehdi Hosseini Chagahi, Saeed Mohammadi Dashtaki, Behzad Moshiri, et al.
Computers in Biology and Medicine (2024) Vol. 173, pp. 108345-108345
Closed Access | Times Cited: 4
Characterization of Polarimetric Properties in Various Brain Tumor Types Using Wide-Field Imaging Mueller Polarimetry
Romain Gros, Omar Rodríguez-Núñez, Leonard Felger, et al.
IEEE Transactions on Medical Imaging (2024), pp. 1-1
Open Access | Times Cited: 4
Transformer’s Role in Brain MRI: A Scoping Review
Mansoor Hayat, Supavadee Aramvith
IEEE Access (2024) Vol. 12, pp. 108876-108896
Open Access | Times Cited: 4
Segmentation of Brain Tumor Resections in Intraoperative 3D Ultrasound Images Using a Semisupervised Cross nnSU‐Net
Yuhua Li, Shan Jiang, Zhiyong Yang, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 1
Closed Access
Enhancing Transparency and Trust in Brain Tumor Diagnosis: An In-Depth Analysis of Deep Learning and Explainable AI Techniques
Krishan Kumar, Kiran Jyoti
Research Square (Research Square) (2025)
Closed Access
Design of an efficient model for brain MRI image classification using graph neural networks
Roshni S. Khedgaonkar, Sneha S. Badhe, Dinesh Bhoyar, et al.
AIP conference proceedings (2025) Vol. 3255, pp. 030009-030009
Closed Access
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