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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 26-50 of 76 citing articles:

The clinical implications and interpretability of computational medical imaging (radiomics) in brain tumors
Yixin Wang, Zongtao Hu, Hongzhi Wang
Insights into Imaging (2025) Vol. 16, Iss. 1
Open Access
A Feature Extraction Using Probabilistic Neural Network and BTFSC-Net Model with Deep Learning for Brain Tumor Classification
Arun Singh Yadav, Surendra Kumar, Girija Rani Karetla, et al.
Journal of Imaging (2022) Vol. 9, Iss. 1, pp. 10-10
Open Access | Times Cited: 20
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
Enhancing Alzheimer’s detection: VAE-augmented handwriting analysis
NM Ahmed, Hao Ying, Chengzhang Yu, et al.
CCF Transactions on Pervasive Computing and Interaction (2025)
Closed Access
A secure hybrid deep learning framework for brain tumor detection and classification
Sandeep Kumar Mathivanan, Saravanan Srinivasan, Manjula Sanjay Koti, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
An Attention-Guided CNN Framework for Segmentation and Grading of Glioma Using 3D MRI Scans
Prasun Chandra Tripathi, Soumen Bag
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 1890-1904
Closed Access | Times Cited: 17
Potential roles of transformers in brain tumor diagnosis and treatment
Yu‐Long Lan, Shuang Zou, Bing Qin, et al.
Brain‐X (2023) Vol. 1, Iss. 2
Open Access | Times Cited: 10
Deep-Net: Fine-Tuned Deep Neural Network Multi-Features Fusion for Brain Tumor Recognition
Muhammad Attique Khan, Reham R. Mostafa, Yudong Zhang, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 3, pp. 3029-3047
Open Access | Times Cited: 9
A review of deep learning and Generative Adversarial Networks applications in medical image analysis
D N Sindhura, Radhika M. Pai, Shyamasunder N. Bhat, et al.
Multimedia Systems (2024) Vol. 30, Iss. 3
Open Access | Times Cited: 3
Tackling the small data problem in medical image classification with artificial intelligence: a systematic review
Stefano Piffer, Leonardo Ubaldi, Sabina Tangaro, et al.
Progress in Biomedical Engineering (2024) Vol. 6, Iss. 3, pp. 032001-032001
Open Access | Times Cited: 3
Deep learning strategies for addressing issues with small datasets in 2D materials research: Microbial Corrosion
Cody Allen, Shiva Aryal, Tuyen Do, et al.
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 13
Synthetic data in radiological imaging: Current state and future outlook
Elena Sizikova, Andreu Badal, Jana G. Delfino, et al.
Deleted Journal (2024) Vol. 1, Iss. 1
Open Access | Times Cited: 2
Insights and Considerations in Development and Performance Evaluation of Generative Adversarial Networks (GANs): What Radiologists Need to Know
Jeong Taek Yoon, Kyung Mi Lee, Jang-Hoon Oh, et al.
Diagnostics (2024) Vol. 14, Iss. 16, pp. 1756-1756
Open Access | Times Cited: 2
Spectrally distinct pixel extraction and kernel filtering for brain tumour diagnosis
Adi Alhudhaif, Shtwai Alsubai, Ahmad O. Aseeri, et al.
Biomedical Signal Processing and Control (2024) Vol. 98, pp. 106787-106787
Closed Access | Times Cited: 2
Automatic Classification of Magnetic Resonance Histology of Peripheral Arterial Chronic Total Occlusions Using a Variational Autoencoder: A Feasibility Study
Judit Csőre, Christof Karmonik, Kayla Wilhoit, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1925-1925
Open Access | Times Cited: 6
Efficient Skip Connections-Based Residual Network (ESRNet) for Brain Tumor Classification
B P Ashwini, Manjit Kaur, Dilbag Singh, et al.
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3234-3234
Open Access | Times Cited: 6
UniVisNet: A Unified Visualization and Classification Network for accurate grading of gliomas from MRI
Yao Zheng, Dong Huang, Xiaoshuo Hao, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107332-107332
Closed Access | Times Cited: 5
An improved multi-scale gradient generative adversarial network for enhancing classification of colorectal cancer histological images
Liwen Jiang, Shuting Huang, Chaofan Luo, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
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 | Times Cited: 1
Adversarial Variational Autoencoders to Extend and Improve Generative Model
Loc Nguyen, Hassan I. Abdalla, Ali A. Amer
(2024)
Open Access | Times Cited: 1
A fine-tuned transformer model for brain tumor detection and classification
B. Srinivas, B. Anilkumar, N Lakshmi Devi, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
A novel brain tumor segmentation and classification model using deep neural network over MRI-flair images
R. Rajmohan, T. Ananth Kumar, S. G. Sandhya, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 1
Advanced brain tumor analysis: a novel strategy for segmentation and classification using modern computational methods
Hatice Çatal Reis, Veysel Turk
Neural Computing and Applications (2024)
Closed Access | Times Cited: 1
PRCnet: An Efficient Model for Automatic Detection of Brain Tumor in MRI Images
Ahmeed Suliman Farhan, Muhammad Khalid, Umar Manzoor
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 3
Deep Learning for Personalized Health Monitoring and Prediction: A Review
Kandala N. V. P. S. Rajesh, Robertas Damaševicˇius, Senthil Kumar Jagatheesaperumal, et al.
Authorea (Authorea) (2023)
Open Access | Times Cited: 2

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