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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 a Combination of Variational Autoencoders and Generative Adversarial Networks
Bilal Ahmad, Jun Sun, Qi You, et al.
Biomedicines (2022) Vol. 10, Iss. 2, pp. 223-223
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
Laith Alzubaidi, Jinshuai Bai, Aiman Al-Sabaawi, et al.
Journal Of Big Data (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 331
Brain tumor segmentation of MRI images: A comprehensive review on the application of artificial intelligence tools
Ramin Ranjbarzadeh, Annalina Caputo, Erfan Babaee Tırkolaee, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106405-106405
Closed Access | Times Cited: 150
Classification of Brain Tumor from Magnetic Resonance Imaging Using Vision Transformers Ensembling
Sudhakar Tummala, Seifedine Kadry, Syed Ahmad Chan Bukhari, et al.
Current Oncology (2022) Vol. 29, Iss. 10, pp. 7498-7511
Open Access | Times Cited: 121
Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
Aghiles Kebaili, Jérôme Lapuyade‐Lahorgue, Su Ruan
Journal of Imaging (2023) Vol. 9, Iss. 4, pp. 81-81
Open Access | Times Cited: 102
PatchResNet: Multiple Patch Division–Based Deep Feature Fusion Framework for Brain Tumor Classification Using MRI Images
Taha Muezzinoglu, Nursena Bayğın, Ilknur Tuncer, et al.
Journal of Digital Imaging (2023) Vol. 36, Iss. 3, pp. 973-987
Closed Access | Times Cited: 48
Brain Tumor Classification from MRI Using Image Enhancement and Convolutional Neural Network Techniques
Zahid Rasheed, Yong-Kui Ma, Inam Ullah, et al.
Brain Sciences (2023) Vol. 13, Iss. 9, pp. 1320-1320
Open Access | Times Cited: 41
A Review Paper about Deep Learning for Medical Image Analysis
Bagher Sistaninejhad, Habib Rasi, parisa nayeri
Computational and Mathematical Methods in Medicine (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 40
Generative artificial intelligence: a systematic review and applications
Sandeep Singh Sengar, Affan Bin Hasan, Sanjay Kumar, et al.
Multimedia Tools and Applications (2024)
Open Access | Times Cited: 29
A fine-tuned vision transformer based enhanced multi-class brain tumor classification using MRI scan imagery
C. Kishor Kumar Reddy, Pulakurthi Anaghaa Reddy, Himaja Janapati, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 18
Deep Learning for Medical Image Cryptography: A Comprehensive Review
Kusum Lata, Linga Reddy Cenkeramaddi
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8295-8295
Open Access | Times Cited: 25
Generative Adversarial Networks (GANs) in Medical Imaging: Advancements, Applications, and Challenges
Showrov Islam, M Aziz, Hadiur Rahman Nabil, et al.
IEEE Access (2024) Vol. 12, pp. 35728-35753
Open Access | Times Cited: 14
A comprehensive survey for generative data augmentation
Y. Chen, Zihui Yan, Yunjie Zhu
Neurocomputing (2024) Vol. 600, pp. 128167-128167
Closed Access | Times Cited: 8
Integrating Convolutional Neural Networks with Attention Mechanisms for Magnetic Resonance Imaging-Based Classification of Brain Tumors
Zahid Rasheed, Yongkui Ma, Inam Ullah, et al.
Bioengineering (2024) Vol. 11, Iss. 7, pp. 701-701
Open Access | Times Cited: 8
A Deep Probabilistic Sensing and Learning Model for Brain Tumor Classification With Fusion-Net and HFCMIK Segmentation
M. V. S. Ramprasad, Md. Zıa Ur Rahman, Masreshaw Bayleyegn
IEEE Open Journal of Engineering in Medicine and Biology (2022) Vol. 3, pp. 178-188
Open Access | Times Cited: 28
A Cognitive Medical Decision Support System for IoT-Based Human-Computer Interface in Pervasive Computing Environment
Haosong Gou, Gaoyi Zhang, Elias Paulino Medeiros, et al.
Cognitive Computation (2024) Vol. 16, Iss. 5, pp. 2471-2486
Closed Access | Times Cited: 7
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: 7
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
Deep learning for personalized health monitoring and prediction: A review
Robertas Damaševičius, Senthil Kumar Jagatheesaperumal, Kandala N. V. P. S. Rajesh, et al.
Computational Intelligence (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 5
Exploring the Power of Deep Learning: Fine-Tuned Vision Transformer for Accurate and Efficient Brain Tumor Detection in MRI Scans
Abdullah A. Asiri, Ahmad Shaf, Tariq Ali, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 2094-2094
Open Access | Times Cited: 14
Deep Learning Techniques for the Classification of Brain Tumor: A Comprehensive Survey
Ayesha Younis, Qiang Li, Mudassar Khalid, et al.
IEEE Access (2023) Vol. 11, pp. 113050-113063
Open Access | Times Cited: 14
Encryption and Generation of Images for Privacy-Preserving Machine Learning in Smart Manufacturing
Vagan Terziyan, Diana Malyk, Mariia Golovianko, et al.
Procedia Computer Science (2023) Vol. 217, pp. 91-101
Open Access | Times Cited: 13
Multi-Class Brain Tumor Grades Classification Using a Deep Learning-Based Majority Voting Algorithm and Its Validation Using Explainable-AI
Gopal S. Tandel, Ashish Tiwari, O. G. Kakde
Deleted Journal (2025)
Closed Access
AI-based intelligent hybrid framework (BO-DenseXGB) for multi- classification of brain tumor using MRI
Chandni, Monika Sachdeva, Alok Kumar Singh Kushwaha
Image and Vision Computing (2025), pp. 105417-105417
Closed Access
A novel approach for the detection of brain tumor and its classification via end-to-end vision transformer - CNN architecture
K. Chandraprabha, L. Ganesan, K. Baskaran
Frontiers in Oncology (2025) Vol. 15
Open Access
A novel approach for the detection of brain tumor and its classification via independent component analysis
C. Gunasundari, K. Selva Bhuvaneswari
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
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