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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:

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising
Yu Gong, Hongming Shan, Yueyang Teng, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2020) Vol. 5, Iss. 2, pp. 213-223
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Content-Noise Complementary Learning for Medical Image Denoising
Mufeng Geng, Xiangxi Meng, Jiangyuan Yu, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 41, Iss. 2, pp. 407-419
Closed Access | Times Cited: 115
Deep learning-based PET image denoising and reconstruction: a review
Fumio Hashimoto, Yuya Onishi, Kibo Ote, et al.
Radiological Physics and Technology (2024) Vol. 17, Iss. 1, pp. 24-46
Open Access | Times Cited: 24
CT image denoising methods for image quality improvement and radiation dose reduction
Rabeya Tus Sadia, Chen Jin, Jie Zhang
Journal of Applied Clinical Medical Physics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 15
A review on Deep Learning approaches for low-dose Computed Tomography restoration
K.A.S.H. Kulathilake, Nor Aniza Abdullah, Aznul Qalid Md Sabri, et al.
Complex & Intelligent Systems (2021) Vol. 9, Iss. 3, pp. 2713-2745
Open Access | Times Cited: 85
Review and Prospect: Artificial Intelligence in Advanced Medical Imaging
Shanshan Wang, Guohua Cao, Yan Wang, et al.
Frontiers in Radiology (2021) Vol. 1
Open Access | Times Cited: 72
Artificial Intelligence-Based Image Enhancement in PET Imaging
Juan Liu, Masoud Malekzadeh, Niloufar Mirian, et al.
PET Clinics (2021) Vol. 16, Iss. 4, pp. 553-576
Open Access | Times Cited: 70
Deep learning-based image reconstruction and post-processing methods in positron emission tomography for low-dose imaging and resolution enhancement
Cameron Dennis Pain, Gary F. Egan, Zhaolin Chen
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 9, pp. 3098-3118
Open Access | Times Cited: 58
A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches
Alexandre Bousse, Venkata Sai Sundar Kandarpa, Kuangyu Shi, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2024) Vol. 8, Iss. 4, pp. 333-347
Open Access | Times Cited: 9
Applications of artificial intelligence in nuclear medicine image generation
Zhibiao Cheng, Junhai Wen, Gang Huang, et al.
Quantitative Imaging in Medicine and Surgery (2021) Vol. 11, Iss. 6, pp. 2792-2822
Open Access | Times Cited: 42
MDPET: A Unified Motion Correction and Denoising Adversarial Network for Low-Dose Gated PET
Bo Zhou, Yu‐Jung Tsai, Xiongchao Chen, et al.
IEEE Transactions on Medical Imaging (2021) Vol. 40, Iss. 11, pp. 3154-3164
Open Access | Times Cited: 41
Image denoising in the deep learning era
Saeed Izadi, Darren Sutton, Ghassan Hamarneh
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 5929-5974
Closed Access | Times Cited: 35
Artificial Intelligence for PET and SPECT Image Enhancement
Vibha Balaji, Tzu-An Song, Masoud Malekzadeh, et al.
Journal of Nuclear Medicine (2023) Vol. 65, Iss. 1, pp. 4-12
Open Access | Times Cited: 17
Applications of Generative Adversarial Networks (GANs) in Positron Emission Tomography (PET) imaging: A review
Ioannis D. Apostolopoulos, Νικόλαος Παπαθανασίου, D. Apostolopoulos, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 11, pp. 3717-3739
Closed Access | Times Cited: 24
Multimodal feature‐guided diffusion model for low‐count PET image denoising
Gen Lin, Yuxi Jin, Zhenxing Huang, et al.
Medical Physics (2025)
Open Access
PET image reconstruction with deep progressive learning
Yang Lv, Xi Chen
Physics in Medicine and Biology (2021) Vol. 66, Iss. 10, pp. 105016-105016
Closed Access | Times Cited: 27
Deep learning-based techniques for estimating high-quality full-dose positron emission tomography images from low-dose scans: a systematic review
Negisa Seyyedi, Ali Ghafari, Navisa Seyyedi, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
RED: Residual Estimation Diffusion for Low-Dose PET Sinogram Reconstruction
X. Ai, Huang Bin, Fang Chen, et al.
Medical Image Analysis (2025), pp. 103558-103558
Closed Access
A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement
Minghan Fu, Meiyun Wang, Yaping Wu, et al.
IEEE Journal of Biomedical and Health Informatics (2023) Vol. 27, Iss. 6, pp. 2864-2875
Closed Access | Times Cited: 9
Bidirectional Condition Diffusion Probabilistic Models for PET Image Denoising
Chenyu Shen, Changjun Tie, Ziyuan Yang, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2024) Vol. 8, Iss. 4, pp. 402-415
Closed Access | Times Cited: 3
Cascaded Multi-path Shortcut Diffusion Model for Medical Image Translation
Yinchi Zhou, Tianqi Chen, Jun Hou, et al.
Medical Image Analysis (2024) Vol. 98, pp. 103300-103300
Open Access | Times Cited: 3
The Evolution of Artificial Intelligence in Medical Imaging: From Computer Science to Machine and Deep Learning
Michele Avanzo, Joseph Stancanello, G. Pirrone, et al.
Cancers (2024) Vol. 16, Iss. 21, pp. 3702-3702
Open Access | Times Cited: 3
Federated Transfer Learning for Low-Dose PET Denoising: A Pilot Study With Simulated Heterogeneous Data
Bo Zhou, Tianshun Miao, Niloufar Mirian, et al.
IEEE Transactions on Radiation and Plasma Medical Sciences (2022) Vol. 7, Iss. 3, pp. 284-295
Open Access | Times Cited: 15
Unsupervised PET logan parametric image estimation using conditional deep image prior
Jianan Cui, Kuang Gong, Ning Guo, et al.
Medical Image Analysis (2022) Vol. 80, pp. 102519-102519
Closed Access | Times Cited: 13
DAEGAN: Generative adversarial network based on dual-domain attention-enhanced encoder-decoder for low-dose PET imaging
Shijie Chen, Xin Tian, Yuling Wang, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105197-105197
Closed Access | Times Cited: 7
FedFTN: Personalized federated learning with deep feature transformation network for multi-institutional low-count PET denoising
Bo Zhou, Huidong Xie, Qiong Liu, et al.
Medical Image Analysis (2023) Vol. 90, pp. 102993-102993
Open Access | Times Cited: 7
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