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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:

Dose Prediction Using a Three-Dimensional Convolutional Neural Network for Nasopharyngeal Carcinoma With Tomotherapy
Yaoying Liu, Zhaocai Chen, Jinyuan Wang, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 20

Showing 20 citing articles:

Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review
Zipei Wang, Mengjie Fang, Jie Zhang, et al.
IEEE Reviews in Biomedical Engineering (2023) Vol. 17, pp. 118-135
Closed Access | Times Cited: 21
Deep learning-based dose map prediction for high-dose-rate brachytherapy
Zhen Li, Zhenyu Yang, Jiayu Lu, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 17, pp. 175015-175015
Open Access | Times Cited: 13
A deep learning‐based peer review method for radiotherapy planning
Pujun Zhou, Huikuan Gu, Qinghe Peng, et al.
Medical Physics (2025)
Open Access
Virtual-simulation boosted neural network dose calculation engine for intensity-modulated radiation therapy
Zirong Li, Yaoying Liu, Xuying Shang, et al.
Physical and Engineering Sciences in Medicine (2025)
Closed Access
A feasibility study of dose-band prediction in radiation therapy: Predicting a spectrum of plan dose
Yaoying Liu, Zhaocai Chen, Qichao Zhou, et al.
Radiotherapy and Oncology (2024) Vol. 202, pp. 110593-110593
Closed Access | Times Cited: 2
Dose distribution prediction for head-and-neck cancer radiotherapy using a generative adversarial network: influence of input data
Xiaojin Gu, Victor I. J. Strijbis, Ben J. Slotman, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Deep-Learning-Based Dose Predictor for Glioblastoma–Assessing the Sensitivity and Robustness for Dose Awareness in Contouring
Robert Poel, Amith Kamath, Jonas Willmann, et al.
Cancers (2023) Vol. 15, Iss. 17, pp. 4226-4226
Open Access | Times Cited: 4
Predicting 3D Radiotherapy Dose-Volume Based on Deep Learning
Đỗ Năng Toàn, Lam Thanh Hien, Hà Mạnh Toàn, et al.
Intelligent Automation & Soft Computing (2024) Vol. 39, Iss. 2, pp. 319-335
Open Access | Times Cited: 1
Accuracy Improvement Method Based on Characteristic Database Classification for IMRT Dose Prediction in Cervical Cancer: Scientifically Training Data Selection
Yiru Peng, Yaoying Liu, Zhaocai Chen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 6
Tissues margin-based analytical anisotropic algorithm boosting method via deep learning attention mechanism with cervical cancer
Bo Yang, Yaoying Liu, Zhaocai Chen, et al.
International Journal of Computer Assisted Radiology and Surgery (2022) Vol. 18, Iss. 5, pp. 953-959
Closed Access | Times Cited: 3
Application of deep learning in radiation therapy for cancer
Xiaobo Wen, Chao Zhao, Bin Zhao, et al.
Cancer/Radiothérapie (2024) Vol. 28, Iss. 2, pp. 208-217
Closed Access
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
Prediction of dose distributions for non‐small cell lung cancer patients using MHA‐ResUNet
Haifeng Zhang, Yanjun Yu, Fuli Zhang
Medical Physics (2024) Vol. 51, Iss. 10, pp. 7345-7355
Closed Access
Enhanced 3D dose prediction for hypofractionated SRS (gamma knife radiosurgery) in brain tumor using cascaded-deep-supervised convolutional neural network
N. Li, Jinyuan Wang, Yanping Wang, et al.
Physical and Engineering Sciences in Medicine (2024)
Closed Access
Predicting the 3-Dimensional Dose Distribution of Multi-Lesion Lung Stereotactic Ablative Radiotherapy with Generative Adversarial Networks
Wenge Wang, Hassan H. Abdallah, Jonatan Snir, et al.
International Journal of Radiation Oncology*Biology*Physics (2024) Vol. 121, Iss. 1, pp. 250-260
Closed Access
Nested CNN architecture for three-dimensional dose distribution prediction in tomotherapy for prostate cancer
Maryam Zamanian, Maziar Irannejad, Iraj Abedi, et al.
Strahlentherapie und Onkologie (2024)
Closed Access
Deformable dose prediction network based on hybrid 2D and 3D convolution for nasopharyngeal carcinoma radiotherapy
Yanhua Liu, Wang Luo, Xiangchen Li, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
From Data to Decisions: Big Data and AI are Shaping the Future of Radiotherapy and Individualized Treatment of Nasopharyngeal Carcinoma
Zi-Cheng Zhen, Yuxian Yang, Chenyang Feng, et al.
(2024)
Open Access
Three-dimensional dose prediction based on deep convolutional neural networks for brain cancer in CyberKnife: accurate beam modelling of homogeneous tissue
Yuchao Miao, Ruigang Ge, Chuanbin Xie, et al.
BJR|Open (2023) Vol. 6, Iss. 1
Open Access
Interaction-Aware Temporal Prescription Generation via Message Passing Neural Network
Cong Wang, Zhi Zheng, Tong Xu, et al.
Lecture notes in computer science (2022), pp. 218-229
Closed Access
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