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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:

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

Showing 24 citing articles:

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
MMTFN: Multi‐modal multi‐scale transformer fusion network for Alzheimer's disease diagnosis
Shang Miao, Qun Xu, Weimin Li, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 34, Iss. 1
Open Access | Times Cited: 16
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
3D multi-modality Transformer-GAN for high-quality PET reconstruction
Yan Wang, Yanmei Luo, Chen Zu, et al.
Medical Image Analysis (2023) Vol. 91, pp. 102983-102983
Closed Access | Times Cited: 13
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
Multimodal radiotherapy dose prediction using a multi‐task deep learning model
Austen Maniscalco, Ezek Mathew, David Parsons, et al.
Medical Physics (2024) Vol. 51, Iss. 6, pp. 3932-3949
Open Access | Times Cited: 4
A deep learning‐based peer review method for radiotherapy planning
Pujun Zhou, Huikuan Gu, Qinghe Peng, et al.
Medical Physics (2025)
Open Access
Lung cancer dose distribution prediction based on a dual‐branch feature extraction network
Haifeng Zhang, Yong-Xin Liu, Yanjun Yu, et al.
Medical Physics (2025)
Closed Access
Joint content-aware and difference-transform lightweight network for remote sensing images semantic change detection
Jindou Zhang, Ruiqian Zhang, Xiao Huang, et al.
Information Fusion (2025), pp. 103276-103276
Closed Access
Enhanced Multitask Learning for Hash Code Generation of Palmprint Biometrics
Lin Chen, Lu Leng, Ziyuan Yang, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 04
Closed Access | Times Cited: 3
Unsupervised Domain Adaptive Dose Prediction via Cross-Attention Transformer and Target-Specific Knowledge Preservation
Jiaqi Cui, Jianghong Xiao, Yun Hou, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 11
Open Access | Times Cited: 8
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 Lightweight Convolutional Neural Network-Reformer Model for Efficient Epileptic Seizure Detection
Haozhou Cui, Xiangwen Zhong, Haotian Li, et al.
International Journal of Neural Systems (2024) Vol. 34, Iss. 12
Closed Access | Times Cited: 2
DBTrans: A Dual-Branch Vision Transformer for Multi-Modal Brain Tumor Segmentation
Xinyi Zeng, Pinxian Zeng, Cheng Tang, et al.
Lecture notes in computer science (2023), pp. 502-512
Closed Access | Times Cited: 6
Triplet-Constraint Transformer with Multi-Scale Refinement for Dose Prediction in Radiotherapy
Lu Wen, Qihun Zhang, Zhenghao Feng, et al.
(2024), pp. 1-4
Open Access | Times Cited: 1
DSANet: Dual-path Segmentation-guided Attention Network for Radiotherapy Dose Prediction from CT Images Only
Yuanyuan Xu, Lu Wen, Zhengyang Jiao, et al.
Knowledge-Based Systems (2024), pp. 112536-112536
Closed Access | Times Cited: 1
A Hybrid Online Off-Policy Reinforcement Learning Agent Framework Supported by Transformers
Enrique Adrian Villarrubia-Martin, Luis Rodríguez-Benitez, Luis Jiménez, et al.
International Journal of Neural Systems (2023) Vol. 33, Iss. 12
Closed Access | Times Cited: 2
ARANet: Attention-based Residual Adversarial Network with Deep Supervision for Radiotherapy Dose Prediction of Cervical Cancer
Lu Wen, Wenxia Yin, Zhenghao Feng, et al.
(2024), pp. 520-525
Closed Access
DCL-Net: Dual Contrastive Learning Network for Semi-Supervised Multi-Organ Segmentation
Wen Lu, Zhenghao Feng, Yun Hou, et al.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024), pp. 1876-1880
Open 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
Content-Aware Adversarial Network with Gradient-Enhanced Dose Rectification for Radiotherapy Dose Prediction
Zhenghao Feng, Lu Wen, Yuanyuan Xu, et al.
(2024), pp. 1-4
Closed Access
Alleviating Class Imbalance in Semi-supervised Multi-organ Segmentation via Balanced Subclass Regularization
Zhenghao Feng, Lu Wen, Binyu Yan, et al.
IEEE Signal Processing Letters (2024) Vol. 31, pp. 2450-2454
Open Access
Latent Spaces Enable Transformer-Based Dose Prediction in Complex Radiotherapy Plans
Wenge Wang, Ryan Au, Pencilla Lang, et al.
Lecture notes in computer science (2024), pp. 361-371
Closed Access
MD-Dose: A diffusion model based on the Mamba for radiation dose prediction
Linjie Fu, Xia Li, Xiuding Cai, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2024), pp. 911-918
Closed Access
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