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:

Edge U-Net: Brain tumor segmentation using MRI based on deep U-Net model with boundary information
Ahmed M. Gab Allah, Amany Sarhan, Nada M. Elshennawy
Expert Systems with Applications (2022) Vol. 213, pp. 118833-118833
Closed Access | Times Cited: 92

Showing 1-25 of 92 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

Medical image segmentation based on frequency domain decomposition SVD linear attention
Qiong Liu, Chaofan Li, Teng Jinnan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

ResUNet+: A New Convolutional and Attention Block-Based Approach for Brain Tumor Segmentation
Sedat Metlek, Halit ÇETİNER
IEEE Access (2023) Vol. 11, pp. 69884-69902
Open Access | Times Cited: 32

A systematic analysis of magnetic resonance images and deep learning methods used for diagnosis of brain tumor
Shubhangi Solanki, Uday Pratap Singh, Siddharth Singh Chouhan, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 23929-23966
Closed Access | Times Cited: 28

Two-Branch network for brain tumor segmentation using attention mechanism and super-resolution reconstruction
Zhaohong Jia, Hongxin Zhu, Junan Zhu, et al.
Computers in Biology and Medicine (2023) Vol. 157, pp. 106751-106751
Closed Access | Times Cited: 24

WBM-DLNets: Wrapper-Based Metaheuristic Deep Learning Networks Feature Optimization for Enhancing Brain Tumor Detection
Muhammad Umair Ali, Shaik Javeed Hussain, Amad Zafar, et al.
Bioengineering (2023) Vol. 10, Iss. 4, pp. 475-475
Open Access | Times Cited: 22

Advances in Medical Image Segmentation: A Comprehensive Review of Traditional, Deep Learning and Hybrid Approaches
Yan Xu, Rixiang Quan, Weiting Xu, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 1034-1034
Open Access | Times Cited: 12

Diffusion model-based text-guided enhancement network for medical image segmentation
Z.-W. Dong, Genji Yuan, Zhen Hua, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123549-123549
Closed Access | Times Cited: 9

Deep learning on medical image analysis
Jiaji Wang, Shuihua Wang‎, Yudong Zhang
CAAI Transactions on Intelligence Technology (2024)
Open Access | Times Cited: 8

Improved Brain Tumor Segmentation Using Modified U-Net based on Particle Swarm Optimization Image Enhancement
Shoffan Saifullah, Rafał Dreżewski
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 611-614
Closed Access | Times Cited: 8

DenseUNet+: A novel hybrid segmentation approach based on multi-modality images for brain tumor segmentation
Halit ÇETİNER, Sedat Metlek
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 8, pp. 101663-101663
Open Access | Times Cited: 18

Augmented Transformer network for MRI brain tumor segmentation
Muqing Zhang, Dongwei Liu, Qiule Sun, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 1, pp. 101917-101917
Open Access | Times Cited: 6

Brain tumour detection using machine and deep learning: a systematic review
Novsheena Rasool, Javaid Iqbal Bhat
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 6

Brain Tumor Segmentation Using Ensemble CNN-Transfer Learning Models: DeepLabV3plus and ResNet50 Approach
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 340-354
Closed Access | Times Cited: 6

Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions
Haipeng Li, Dingrui Liu, Yu Zeng, et al.
IEEE Transactions on Image Processing (2024) Vol. 33, pp. 2676-2688
Open Access | Times Cited: 5

Comparative analysis of image enhancement techniques for braintumor segmentation: contrast, histogram, and hybrid approaches
Shoffan Saifullah, Andri Pranolo, Rafał Dreżewski
E3S Web of Conferences (2024) Vol. 501, pp. 01020-01020
Open Access | Times Cited: 5

Automatic Brain Tumor Segmentation Using Convolutional Neural Networks: U-Net Framework with PSO-Tuned Hyperparameters
Shoffan Saifullah, Rafał Dreżewski
Lecture notes in computer science (2024), pp. 333-351
Closed Access | Times Cited: 5

A Novel Encoder Decoder Architecture with Vision Transformer for Medical Image Segmentation
Saroj Bala, Kumud Arora, R Jeevitha, et al.
Journal of Electronics Electromedical Engineering and Medical Informatics (2025) Vol. 7, Iss. 1, pp. 176-186
Open Access

R2A-UNET: double attention mechanisms with residual blocks for enhanced MRI image segmentation
Noura Bentaher, Samira Lafraxo, Younes Kabbadj, et al.
Multimedia Tools and Applications (2025)
Closed Access

Gabrain-Net: An Optimized Gabor-Integrated U-Net for Multimodal Brain Tumor MRI Segmentation
Ekram Chamseddine, Lotfi Tlig, lotfi Chaari, et al.
(2025)
Closed Access

A deep ensemble learning framework for glioma segmentation and grading prediction
Liang Wen, Hui Sun, Guobiao Liang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access

Dual-method for semantic and instance brain tumor segmentation based on UNet and mask R-CNN using MRI
Javaria Amin, Nadia Gul, Muhammad Irfan Sharif
Neural Computing and Applications (2025)
Closed Access

A novel generative model for brain tumor detection using magnetic resonance imaging
José Jerovane da C. Nascimento, Adriell Gomes Marques, L. Souza, et al.
Computerized Medical Imaging and Graphics (2025) Vol. 121, pp. 102498-102498
Closed Access

Deep Convolutional Neural Networks in Medical Image Analysis: A Review
Ibomoiye Domor Mienye, Theo G. Swart, George Obaido, et al.
Information (2025) Vol. 16, Iss. 3, pp. 195-195
Open Access

Deep learning for brain tumor segmentation in multimodal MRI images: A review of methods and advances
Bin Jiang, Mushan Liao, Yun Zhao, et al.
Image and Vision Computing (2025), pp. 105463-105463
Closed Access

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