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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:

The Application and Development of Deep Learning in Radiotherapy: A Systematic Review
Danju Huang, Han Bai, Li Wang, et al.
Technology in Cancer Research & Treatment (2021) Vol. 20
Open Access | Times Cited: 21

Showing 21 citing articles:

A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6116-6116
Open Access | Times Cited: 58
A clinical evaluation of the performance of five commercial artificial intelligence contouring systems for radiotherapy
Paul Doolan, Stefanie Charalambous, Yiannis Roussakis, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 39
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives
Ayhan Can Erdur, Daniel Rusche, Daniel Scholz, et al.
Strahlentherapie und Onkologie (2024)
Open Access | Times Cited: 11
Clinical assessment of deep learning-based uncertainty maps in lung cancer segmentation
Federica Carmen Maruccio, Wietse S.C. Eppinga, Max-Heinrich Laves, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 3, pp. 035007-035007
Open Access | Times Cited: 8
Optimal timing of re-planning for head and neck adaptive radiotherapy
Yong Gan, Johannes A. Langendijk, Edwin Oldehinkel, et al.
Radiotherapy and Oncology (2024) Vol. 194, pp. 110145-110145
Open Access | Times Cited: 8
The Integration of Deep Learning in Radiotherapy: Exploring Challenges, Opportunities, and Future Directions through an Umbrella Review
Andrea Lastrucci, Yannick Wandael, Renzo Ricci, et al.
Diagnostics (2024) Vol. 14, Iss. 9, pp. 939-939
Open Access | Times Cited: 7
Application and progress of artificial intelligence in radiation therapy dose prediction
Jiang Chen, Tianlong Ji, Qiao Qiao
Clinical and Translational Radiation Oncology (2024) Vol. 47, pp. 100792-100792
Open Access | Times Cited: 5
Hybrid segmentation and 3D Imaging: Comprehensive framework for breast cancer patient segmentation and classification based on digital breast tomosynthesis
Wail M. Idress, Khalid A. Abouda, Rawal Javed, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106992-106992
Closed Access | Times Cited: 4
Fully automated radiotherapy treatment planning: A scan to plan challenge
Mark J. Gooding, Shafak Aluwini, Teresa Guerrero Urbano, et al.
Radiotherapy and Oncology (2024) Vol. 200, pp. 110513-110513
Closed Access | Times Cited: 4
Effects of Patchwise Sampling Strategy to Three-Dimensional Convolutional Neural Network-Based Alzheimer’s Disease Classification
Xiaoqi Shen, Lan Lin, Xinze Xu, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 254-254
Open Access | Times Cited: 8
Hippocampal sparing in whole-brain radiotherapy for brain metastases: controversy, technology and the future
Rui Liu, Guanzhong Gong, Kangning Meng, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
A deep learning-based dose prediction method for evaluation of radiotherapy treatment planning
Jiping Liu, Xiang Zhang, Xiaolong Cheng, et al.
Journal of Radiation Research and Applied Sciences (2023) Vol. 17, Iss. 1, pp. 100757-100757
Open Access | Times Cited: 3
Deep learning applied to dose prediction in external radiation therapy: A narrative review
V. Lagedamon, Pierre-Emmanuel Leni, R. Gschwind
Cancer/Radiothérapie (2024) Vol. 28, Iss. 4, pp. 402-414
Closed Access
On‐board synthetic 4D MRI generation from 4D CBCT for radiotherapy of abdominal tumors: A feasibility study
Paulo Quintero, Can Wu, Ricardo Otazo, et al.
Medical Physics (2024)
Open Access
Validation of different automated segmentation models for target volume contouring in postoperative radiotherapy for breast cancer and regional nodal irradiation
Eva Meixner, Benjamin Glogauer, Sebastian Klüter, et al.
Clinical and Translational Radiation Oncology (2024) Vol. 49, pp. 100855-100855
Open Access
A regularized CNN approach for detecting cervical cancer
Jesse Jeremiah Tanimu, Mohamed Hamada, Mohammed Hassan, et al.
AIP conference proceedings (2024) Vol. 3220, pp. 030002-030002
Closed Access
A Study of Breast Cancer Identification with Deep Learning Techniques
D. Sujitha Priya, V. Radha
Lecture notes in networks and systems (2023), pp. 743-757
Closed Access | Times Cited: 1
Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept
Benjamin Shields, Prabhakar Ramachandran
Physical and Engineering Sciences in Medicine (2023) Vol. 46, Iss. 3, pp. 1321-1330
Open Access | Times Cited: 1
Role of Artificial Intelligence in Machine Learning for Diagnosis and Radiotherapy
Sanket Chintawar, Vaishnavi Gattani, Shivanee Vyas, et al.
(2023), pp. 315-344
Closed Access
Deep learning-based organ-at-risk segmentation in head-and-neck radiotherapy
Ward van Rooij
(2023)
Open Access
Application of Deep Learning in Radiation Therapy
Shilpa Rawat, Shilpa Singh, Aftab Alam, et al.
(2022), pp. 289-331
Closed Access
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