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:

CCT-Unet: A U-Shaped Network Based on Convolution Coupled Transformer for Segmentation of Peripheral and Transition Zones in Prostate MRI
Yifei Yan, Rong‐Zong Liu, Haobo Chen, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 9, pp. 4341-4351
Closed Access | Times Cited: 16

Showing 16 citing articles:

Enhancing the Super-Resolution of Medical Images: Introducing the Deep Residual Feature Distillation Channel Attention Network for Optimized Performance and Efficiency
Sabina Umirzakova, Sevara Mardieva, Shakhnoza Muksimova, et al.
Bioengineering (2023) Vol. 10, Iss. 11, pp. 1332-1332
Open Access | Times Cited: 23

BMA-Net: A 3D bidirectional multi-scale feature aggregation network for prostate region segmentation
Bangkang Fu, Feng Liu, Junjie He, et al.
Computer Methods and Programs in Biomedicine (2025) Vol. 261, pp. 108596-108596
Closed Access

Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging
Saman Fouladi, L. Di Palma, Fatemeh Darvizeh, et al.
Information (2025) Vol. 16, Iss. 3, pp. 186-186
Open Access

How much data do you need? An analysis of pelvic multi-organ segmentation in a limited data context
Febrio Lunardo, Laura Baker, Alex Tan, et al.
Physical and Engineering Sciences in Medicine (2025)
Open Access

A mixed Mamba U-net for prostate segmentation in MR images
Qiu Lei Du, Luowu Wang, Hao Chen
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

FI‐Net: Rethinking Feature Interactions for Medical Image Segmentation
Yuhan Ding, J. Liu, Yunbo He, et al.
Advanced Intelligent Systems (2024) Vol. 6, Iss. 12
Closed Access | Times Cited: 1

HD-Former: A hierarchical dependency Transformer for medical image segmentation
Haifan Wu, Weidong Min, Di Gai, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108671-108671
Closed Access | Times Cited: 1

MixUNETR: A U-shaped network based on W-MSA and depth-wise convolution with channel and spatial interactions for zonal prostate segmentation in MRI
Quanyou Shen, Bowen Zheng, P. R. Li, et al.
Neural Networks (2024) Vol. 181, pp. 106782-106782
Closed Access | Times Cited: 1

Research on Brain Tumor Segmentation Algorithm Based on Improved U-shaped Network Structure
J. S. Zhang, Zhengzhu Wen, Jingqi Gao, et al.
(2024), pp. 1-5
Closed Access

How Much Data Do You Need? An Analysis of Pelvic Multi-Organ Segmentation in a Limited Data Context
Febrio Lunardo, Laura Baker, Alex W. Tan, et al.
Research Square (Research Square) (2024)
Closed Access

A Comparative Analysis of U-Net and Vision Transformer Architectures in Semi-Supervised Prostate Zonal Segmentation
Guantian Huang, Bixuan Xia, Haoming Zhuang, et al.
Bioengineering (2024) Vol. 11, Iss. 9, pp. 865-865
Open Access

Can incorporating image resolution into neural networks improve kidney tumor classification performance in ultrasound images?
Haihao He, Yuhan Liu, X. K. Zhou, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access

CriDiff: Criss-Cross Injection Diffusion Framework via Generative Pre-train for Prostate Segmentation
Tingwei Liu, Miao Zhang, Leiye Liu, et al.
Lecture notes in computer science (2024), pp. 102-112
Closed Access

Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI
Yanan Li, Jingfa Yao, Wenhui Yang, et al.
Foods (2024) Vol. 13, Iss. 24, pp. 4056-4056
Open Access

MultiResolution 3D Magnetic Resonance Imaging Analysis for Prostate Cancer Imaging
J. Logeshwaran, Saurabh Singhal, Amit X. Garg
(2023), pp. 1-6
Closed Access

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