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:

RETRACTED ARTICLE: Automated brain tumor detection and segmentation using modified UNet and ResNet model
Nandyala Bindu, Panyam Narahari Sastry
Soft Computing (2023) Vol. 27, Iss. 13, pp. 9179-9189
Closed Access | Times Cited: 14

Showing 14 citing articles:

Modified U-Net with attention gate for enhanced automated brain tumor segmentation
Shoffan Saifullah, Rafał Dreżewski, Anton Yudhana, et al.
Neural Computing and Applications (2025)
Closed Access | Times Cited: 1

High Speed and Accuracy of Animation 3D Pose Recognition Based on an Improved Deep Convolution Neural Network
Wei Ding, Wenfa Li
Applied Sciences (2023) Vol. 13, Iss. 13, pp. 7566-7566
Open Access | Times Cited: 26

Enhancing brain tumor segmentation in MRI images using the IC-net algorithm framework
C. S., J. Christopher Clement
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3

Enhancing Brain Tumor MRI Segmentation Accuracy and Efficiency with Optimized U-Net Architecture
Sultanul Arifeen Hamim, Akinul Islam Jony
Malaysian Journal of Science and Advanced Technology (2024), pp. 197-202
Open Access | Times Cited: 3

Medical Imaging Tumor Segmentation Algorithm Based on W-DeepLabV3+ Model
Shuxian Wu, Shanshan Zhu, Lingxi Peng, et al.
2022 7th International Conference on Computer and Communication Systems (ICCCS) (2024), pp. 219-224
Closed Access | Times Cited: 1

G-Net: Implementing an enhanced brain tumor segmentation framework using semantic segmentation design
C. S., Christopher Clement
PLoS ONE (2024) Vol. 19, Iss. 8, pp. e0308236-e0308236
Open Access | Times Cited: 1

A Stay Cable Icing Identification Method Based on the Fusion of U-Net and ResNet50
Zhiyong Yang, Feng Xiong, Yaoyao Pei, et al.
Applied Sciences (2024) Vol. 14, Iss. 7, pp. 3062-3062
Open Access

Improved Brain Tumor Segmentation in MR Images with a Modified U-Net
Hiam Alquran, Mohammed Alslatie, Ali Rababah, et al.
Applied Sciences (2024) Vol. 14, Iss. 15, pp. 6504-6504
Open Access

A TransUNet model with an adaptive fuzzy focal loss for medical image segmentation
Adrian Talamantes-Roman, Graciela Ramírez-Alonso, Fernando Gaxiola, et al.
Soft Computing (2024) Vol. 28, Iss. 20, pp. 12359-12375
Closed Access

Application of the Bicharacteristic Attention Residual Pyramid for the Treatment of Brain Tumors
Yiliu Hang, Qiong Zhang, Xiujing Li, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36119-e36119
Open Access

A novel Grasshopper optimized ResU-Net for Brain Tumor Segmentation
Nishtha Tomar, Prakhar Bhatt, Gaurav Bhatnagar
(2024), pp. 1-6
Closed Access

Detection of brain tumor using Hybridized 3D U-Net model on MRI images
J. Shreeharsha
Multimedia Tools and Applications (2024)
Closed Access

Image Classification With The Hybrid PVCN
B. Pranaya, Atul Kumar, Chintakindi Pruthviraj., et al.
2022 8th International Conference on Smart Structures and Systems (ICSSS) (2023), pp. 1-7
Closed Access

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