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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 Segmentation Using Deep Learning on MRI Images
Almetwally M. Mostafa, Mohammed Zakariah, Eman Abdullah Aldakheel
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1562-1562
Open Access | Times Cited: 21

Showing 21 citing articles:

Deep learning for medical image segmentation: State-of-the-art advancements and challenges
Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, et al.
Informatics in Medicine Unlocked (2024) Vol. 47, pp. 101504-101504
Open Access | Times Cited: 30
Explainable AI for Transparent MRI Segmentation: Deep Learning and Visual Attribution in Clinical Decision Support
M. Vinoth, V. Jayapradha, K. Anitha, et al.
International Journal of Computational and Experimental Science and Engineering (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 15
MAGRes-UNet: Improved Medical Image Segmentation Through a Deep Learning Paradigm of Multi-Attention Gated Residual U-Net
Tahir Hussain, Hayaru Shouno
IEEE Access (2024) Vol. 12, pp. 40290-40310
Open Access | Times Cited: 10
A COMPARATIVE ANALYSIS OF THE HEALTH MONITORING PROCESS USING DEEP LEARNING METHODS FOR BRAIN TUMOUR
N. Manjunathan, N. Gomathi
Measurement Sensors (2025), pp. 101807-101807
Open Access
CDCG-UNet: Chaotic Optimization Assisted Brain Tumor Segmentation Based on Dilated Channel Gate Attention U-Net Model
K. Bhagyalaxmi, B. Dwarakanath
Neuroinformatics (2025) Vol. 23, Iss. 2
Closed Access
Advanced deep learning and large language models: Comprehensive insights for cancer detection
Yassine Habchi, Hamza Kheddar, Yassine Himeur, et al.
Image and Vision Computing (2025), pp. 105495-105495
Closed Access
RF-ShCNN: A combination of two deep models for tumor detection in brain using MRI
Swaminathan Balasubramanian, Jyothi Mandala, Telu Venkata Madhusudhana Rao, et al.
Biomedical Signal Processing and Control (2023) Vol. 88, pp. 105656-105656
Closed Access | Times Cited: 6
ASA-LSTM-based brain tumor segmentation and classification in MRI images

International Journal of Advanced Technology and Engineering Exploration (2024) Vol. 11, Iss. 115
Open Access | Times Cited: 1
SSO-CCNN: A Correlation-Based Optimized Deep CNN for Brain Tumor Classification Using Sampled PGGAN
Saswati Sahoo, Sushruta Mishra, Biswajit Brahma, et al.
International Journal of Computational Intelligence Systems (2024) Vol. 17, Iss. 1
Open Access | Times Cited: 1
Comparative Study on Architecture of Deep Neural Networks for Segmentation of Brain Tumor using Magnetic Resonance Images
R Preetha, M. Jasmine Pemeena Priyadarsini, J. S. Nisha
IEEE Access (2023) Vol. 11, pp. 138549-138567
Open Access | Times Cited: 4
Brain Tumor Segmentation on MRI Images Using 2D ResNeXt
Rudiyanto Rudiyanto, I Ketut Eddy Purnama, Reza Fuad Rachmadi
(2024) Vol. 125, pp. 361-366
Closed Access | Times Cited: 1
Classification and Segmentation of Intracranial MRI Tumor Images
Ma. Sheila A. Magboo, Vincent Peter C. Magboo
Lecture notes in electrical engineering (2024), pp. 737-748
Closed Access
Minimal data poisoning attack in federated learning for medical image classification: An attacker perspective
K. Naveen Kumar, C. Krishna Mohan, Linga Reddy Cenkeramaddi, et al.
Artificial Intelligence in Medicine (2024) Vol. 159, pp. 103024-103024
Closed Access
Enhancing Brain Tumor Diagnosis: A Synergistic Approach with Support Vector Machines and Decision Trees for Improved Detection and Segmentation
R Srikumaran
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 3, pp. 247-255
Open Access
Advancing Brain Tumor Detection in MRI: Leveraging NAFNET Denoising for Enhanced CNN Performance
Srikumaran Ramu, V Sanjay Kumaran, M. Vijay, et al.
(2024), pp. 311-317
Closed Access
Benign vs. Malignant Brain Tumors: An In-Depth Review Using Deep Learning Techniques
Kirti Rattan, Gaurav Bathla, Vikas Wasson
(2024), pp. 1-6
Closed Access
Evaluating the Impact of Filtering Techniques on Deep Learning-Based Brain Tumour Segmentation
S.S.R.F. Rosa, Verónica Vasconcelos, P. J. S. B. Caridade
Computers (2024) Vol. 13, Iss. 9, pp. 237-237
Open Access
Evolution of Molecular Biomarkers and Precision Molecular Therapeutic Strategies in Glioblastoma
Maria A. Jacome, Qiong Wu, Yolanda Piña, et al.
Cancers (2024) Vol. 16, Iss. 21, pp. 3635-3635
Open Access
Performance of Convolutional Neural Network Models in Meningioma Segmentation in Magnetic Resonance Imaging: A Systematic Review and Meta-Analysis
Tingwei Wang, Jia‐Sheng Hong, Wei‐Kai Lee, et al.
Neuroinformatics (2024) Vol. 23, Iss. 1, pp. 1-12
Open Access
Kidney Tumor Segmentation and Grade Identification in CT Images
Raluca Brehar, D. Mitrea, Sergiu Nedevschi, et al.
(2023) Vol. 154, pp. 293-300
Closed Access | Times Cited: 1
MSCT-UNET: multi-scale contrastive transformer within U-shaped network for medical image segmentation
Heran Xi, Haoji Dong, Sheng Yue, et al.
Physics in Medicine and Biology (2023) Vol. 69, Iss. 1, pp. 015022-015022
Closed Access
Enhancing Privacy-Preserving Brain Tumor Detection in Medical Cyber-Physical Systems through Deep Learning Algorithms
Prashant Singh, Kusum Lata, Yash Gupta, et al.
2021 IEEE International Symposium on Smart Electronic Systems (iSES) (2023), pp. 180-185
Closed Access
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