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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:

Explainable attention guided adversarial deep network for 3D radiotherapy dose distribution prediction
Huidong Li, Xingchen Peng, Jie Zeng, et al.
Knowledge-Based Systems (2022) Vol. 241, pp. 108324-108324
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Semi-supervised medical image segmentation via a tripled-uncertainty guided mean teacher model with contrastive learning
Kaiping Wang, Bo Zhan, Chen Zu, et al.
Medical Image Analysis (2022) Vol. 79, pp. 102447-102447
Closed Access | Times Cited: 130
Advancements and Prospects of Machine Learning in Medical Diagnostics: Unveiling the Future of Diagnostic Precision
Sohaib Asif, Wenhui Yi, Saif Ur-Rehman, et al.
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 25
ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease
Yuang Shi, Chen Zu, Hong Mei, et al.
Pattern Recognition (2022) Vol. 126, pp. 108566-108566
Open Access | Times Cited: 64
Multi-level progressive transfer learning for cervical cancer dose prediction
Lu Wen, Jianghong Xiao, Jie Zeng, et al.
Pattern Recognition (2023) Vol. 141, pp. 109606-109606
Closed Access | Times Cited: 28
A Transformer-Embedded Multi-Task Model for Dose Distribution Prediction
Lu Wen, Jianghong Xiao, Shuai Tan, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 08
Open Access | Times Cited: 24
A review of dose prediction methods for tumor radiation therapy
Xiaoyan Kui, Fang Liu, Min Yang, et al.
Meta-Radiology (2024) Vol. 2, Iss. 1, pp. 100057-100057
Open Access | Times Cited: 9
TransDose: Transformer-based radiotherapy dose prediction from CT images guided by super-pixel-level GCN classification
Zhengyang Jiao, Xingchen Peng, Yan Wang, et al.
Medical Image Analysis (2023) Vol. 89, pp. 102902-102902
Closed Access | Times Cited: 23
Uncertainty-weighted and relation-driven consistency training for semi-supervised head-and-neck tumor segmentation
Yuang Shi, Chen Zu, Pinli Yang, et al.
Knowledge-Based Systems (2023) Vol. 272, pp. 110598-110598
Closed Access | Times Cited: 14
DiffDP: Radiotherapy Dose Prediction via a Diffusion Model
Zhenghao Feng, Lu Wen, Peng Wang, et al.
Lecture notes in computer science (2023), pp. 191-201
Closed Access | Times Cited: 11
LENAS: Learning-Based Neural Architecture Search and Ensemble for 3-D Radiotherapy Dose Prediction
Yi Lin, Yanfei Liu, Hao Chen, et al.
IEEE Transactions on Cybernetics (2024) Vol. 54, Iss. 10, pp. 5795-5805
Open Access | Times Cited: 4
D2FE-GAN: Decoupled dual feature extraction based GAN for MRI image synthesis
Bo Zhan, Luping Zhou, Zhiang Li, et al.
Knowledge-Based Systems (2022) Vol. 252, pp. 109362-109362
Closed Access | Times Cited: 19
TriDo-Former: A Triple-Domain Transformer for Direct PET Reconstruction from Low-Dose Sinograms
Jiaqi Cui, Pinxian Zeng, Xinyi Zeng, et al.
Lecture notes in computer science (2023), pp. 184-194
Closed Access | Times Cited: 10
Improving Radiotherapy Plan Quality for Nasopharyngeal Carcinoma With Enhanced UNet Dose Prediction
Junming Jian, Xingxing Yuan, Longfei Xu, et al.
Cancer Medicine (2025) Vol. 14, Iss. 4
Open Access
Deep learning-based prediction of Monte Carlo dose distribution for heavy ion therapy
Rui He, Hui Zhang, Jian Wang, et al.
Physics and Imaging in Radiation Oncology (2025) Vol. 34, pp. 100735-100735
Open Access
Deep learning-powered radiotherapy dose prediction: clinical insights from 622 patients across multiple sites tumor at a single institution
Hou Zhen, Qin L, Jiabing Gu, et al.
Radiation Oncology (2025) Vol. 20, Iss. 1
Open Access
ISSMF: Integrated semantic and spatial information of multi-level features for automatic segmentation in prenatal ultrasound images
Yihao Sun, Yang Hong-jian, Jiliu Zhou, et al.
Artificial Intelligence in Medicine (2022) Vol. 125, pp. 102254-102254
Closed Access | Times Cited: 15
Semi-automated segmentation methods of SSTR PET for dosimetry prediction in refractory meningioma patients treated by SSTR-targeted peptide receptor radionuclide therapy
Caroline Boursier, Timothée Zaragori, Marie Bros, et al.
European Radiology (2023) Vol. 33, Iss. 10, pp. 7089-7098
Closed Access | Times Cited: 9
MangroveSeg: Deep-Supervision-Guided Feature Aggregation Network for Mangrove Detection and Segmentation in Satellite Images
Heng Dong, Yifan Gao, Riqing Chen, et al.
Forests (2024) Vol. 15, Iss. 1, pp. 127-127
Open Access | Times Cited: 3
Classification-Aided High-Quality PET Image Synthesis via Bidirectional Contrastive GAN with Shared Information Maximization
Yuchen Fei, Chen Zu, Zhengyang Jiao, et al.
Lecture notes in computer science (2022), pp. 527-537
Closed Access | Times Cited: 14
DoseTransfer: A Transformer Embedded Model With Transfer Learning for Radiotherapy Dose Prediction of Cervical Cancer
Lu Wen, Jianghong Xiao, Chen Zu, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2023) Vol. 8, Iss. 1, pp. 95-104
Closed Access | Times Cited: 8
A Self-attention Guided Multi-scale Gradient GAN for Diversified X-ray Image Synthesis
Muhammad Muneeb Saad, Mubashir Husain Rehmani, Ruairi O’Reilly
Communications in computer and information science (2023), pp. 18-31
Open Access | Times Cited: 7
A cascade transformer-based model for 3D dose distribution prediction in head and neck cancer radiotherapy
Tara Gheshlaghi, Shahabedin Nabavi, Samireh Shirzadikia, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 4, pp. 045010-045010
Open Access | Times Cited: 2
Dose prediction for cervical cancer VMAT patients with a full-scale 3D-cGAN-based model and the comparison of different input data on the prediction results
Gongsen Zhang, Zejun Jiang, Jian Zhu, et al.
Radiation Oncology (2022) Vol. 17, Iss. 1
Open Access | Times Cited: 9
Multi-stage framework with difficulty-aware learning for progressive dose prediction
Fan Li, Sijie Niu, Yingying Han, et al.
Biomedical Signal Processing and Control (2022) Vol. 82, pp. 104541-104541
Closed Access | Times Cited: 8
An overview of artificial intelligence in medical physics and radiation oncology
Jiali Liu, Haonan Xiao, Jiawei Fan, et al.
Journal of the National Cancer Center (2023) Vol. 3, Iss. 3, pp. 211-221
Open Access | Times Cited: 4
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