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:

TransDose: a transformer-based UNet model for fast and accurate dose calculation for MR-LINACs
Fan Xiao, Jiajun Cai, Xuanru Zhou, et al.
Physics in Medicine and Biology (2022) Vol. 67, Iss. 12, pp. 125013-125013
Closed Access | Times Cited: 13

Showing 13 citing articles:

Sub‐second photon dose prediction via transformer neural networks
Oscar Pastor‐Serrano, Peng Dong, Charles Huang, et al.
Medical Physics (2023) Vol. 50, Iss. 5, pp. 3159-3171
Open Access | Times Cited: 13

Real-time motion management in MRI-guided radiotherapy: Current status and AI-enabled prospects
Elia Lombardo, Jennifer Dhont, Denis Pagé, et al.
Radiotherapy and Oncology (2023) Vol. 190, pp. 109970-109970
Closed Access | Times Cited: 13

Development and comprehensive clinical validation of a deep neural network for radiation dose modelling to enhance magnetic resonance imaging guided radiotherapy
Moritz Schneider, S. Gutwein, David Mönnich, et al.
Physics and Imaging in Radiation Oncology (2025) Vol. 33, pp. 100723-100723
Open Access

A Comparative Study of Deep Learning Dose Prediction Models for Cervical Cancer Volumetric Modulated Arc Therapy
Zhe Wu, Mujun Liu, Ya Pang, et al.
Technology in Cancer Research & Treatment (2024) Vol. 23
Open Access | Times Cited: 3

A deep learning based dynamic arc radiotherapy photon dose engine trained on Monte Carlo dose distributions
Marnix G. Witte, Jan‐Jakob Sonke
Physics and Imaging in Radiation Oncology (2024) Vol. 30, pp. 100575-100575
Open Access | Times Cited: 2

Performance assessment of variant UNet-based deep-learning dose engines for MR-Linac-based prostate IMRT plans
Wenchih Tseng, Hongcheng Liu, Yu Yang, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 17, pp. 175004-175004
Closed Access | Times Cited: 3

REDRAW: Fast and Efficient Hardware Accelerator with Reduced Reads And Writes for 3D UNet
Tom Glint, Manu Awasthi, Joycee Mekie
Design, Automation & Test in Europe Conference & Exhibition (DATE), 2015 (2023), pp. 1-6
Closed Access | Times Cited: 2

Multi-center Dose Prediction Using Attention-aware Deep learning Algorithm Based on Transformers for Cervical Cancer Radiotherapy
Zhe Wu, Xiaoyue Jia, Lin Lü, et al.
Clinical Oncology (2024) Vol. 36, Iss. 7, pp. e209-e223
Closed Access

FA-Net: A hierarchical feature fusion and interactive attention-based network for dose prediction in liver cancer patients
Miao Liao, Shuanhu Di, Yuqian Zhao, et al.
Artificial Intelligence in Medicine (2024) Vol. 156, pp. 102961-102961
Closed Access

TIA-UNet: Transformer-Enhanced Deep Learning for Adolescent Idiopathic Scoliosis Spinal X-Ray Image Segmentation
Zhiwu Li, Shuangcheng Deng, Z.L. Xue, et al.
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045229-045229
Closed Access

Generalisation of radiotherapy dose calculation for Monte Carlo algorithm combined with 3D Swin-Unet: a multi-institutional IMRT evaluation
Bailin Zhang, Yongdong Zhuang, Yinghui Li, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 21, pp. 215015-215015
Closed Access | Times Cited: 1

DAWTran: dynamic adaptive windowing transformer network for pneumothorax segmentation with implicit feature alignment
Pengchen Liang, Jianguo Chen, Lei Yao, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 17, pp. 175020-175020
Closed Access

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