Tonghe Wang

7.4k citations

229 papers · 5.5k · 5 hit papers · h-index 38

Impact in

Radiation top 0.5%
- Advanced Radiotherapy Techniques
Radiology, Nuclear Medicine and Imaging top 0.2%
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications

Papers in

Radiation 83
- Advanced Radiotherapy Techniques 78
Radiology, Nuclear Medicine and Imaging 121
- Medical Imaging Techniques and Applications 83
- Radiomics and Machine Learning in Medical Imaging 53
- Advanced MRI Techniques and Applications 14

Co-authors: Xiaofeng Yang (214 shared papers)Yang Lei (176 shared papers)Walter John Curran (144 shared papers)Yabo Fu (45 shared papers)Pretesh R Patel (70 shared papers)Tian Liu (77 shared papers)Tian Liu (47 shared papers)Tian Liu (22 shared papers)
Journals: Medical Physics (49 papers)Physics in Medicine and Biology (32 papers)Journal of Applied Clinical Medical Physics (7 papers)Medical dosimetry (3 papers)British Journal of Radiology (3 papers)
Partner nations: United States China Canada

In The Last Decade

Tonghe Wang

213 papers receiving 5.4k citations

Tonghe Wang's Hit Papers

5 papers align trajectories log scale

CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model 2023 · 75 citations

What are hit papers?

Paper score: A paper's citations measured against the top-1% bar of its own field and year: the square root of citations ÷ bar, so 1 means right at the bar and 2 means four times its citations. The bar blends the citation counts that enter the top 1% of the paper's subfields in its year (weighted 89.5%), of those subfields over all years (0.5%) and of its year across all fields (10%); a subfield and year with fewer than 400 papers takes its year's bar. Papers from 2026 are not scored yet: in an unfinished year, when a paper appeared matters more than how it is cited.

Hit paper: A paper cited at least 1.5× the top-1% bar of its field and year: a paper score of at least √1.5.

2023 Medical Physics
2021 Physica Medica
2020 Physics in Medicine and Biology
2019 Medical Physics
2019 Medical Physics

Peers

Countries citing papers authored by Tonghe Wang

Since Specialization

Citations

This map shows the geographic impact of Tonghe Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tonghe Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tonghe Wang more than expected).

Fields of papers citing papers by Tonghe Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tonghe Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tonghe Wang. The network helps show where Tonghe Wang may publish in the future.

Co-authors

The 25 scholars most cited alongside Tonghe Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tonghe Wang Line = papers co-authored together Tonghe Wang links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 229 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Deep learning in medical image registration: a review Physics in Medicine and Biology ·Yabo Fu, Yang Lei, Tonghe Wang, Walter John Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2020	485
2	Automatic multiorgan segmentation in thorax CT images using U‐net‐ GAN Medical Physics ·Xue Dong, Yang Lei, Tonghe Wang, Allan Thomas, Leonardo Tang, Walter John Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2019	229
3	MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks Medical Physics ·Yang Lei, Joseph M. Harms, Tonghe Wang, Yingzi Liu, Hui‐Kuo G. Shu, Ashesh B. Jani, Walter John Curran, Hui Mao	2019	226
4	Paired cycle‐GAN‐based image correction for quantitative cone‐beam computed tomography Medical Physics ·Joseph M. Harms, Yang Lei, Tonghe Wang, Rongxiao Zhang, Jun Zhou, Xiangyang Tang, Walter John Curran, Tian Liu Hit paper breakdown →	2019	221
5	A review on medical imaging synthesis using deep learning and its clinical applications Journal of Applied Clinical Medical Physics ·Tonghe Wang, Yang Lei, Yabo Fu, Jacob Frank Wynne, Walter John Curran, Tian Liu, Xiaofeng Yang	2020	202
6	A review of deep learning based methods for medical image multi-organ segmentation Physica Medica ·Yabo Fu, Yang Lei, Tonghe Wang, Walter John Curran, Tian Liu, Xiaofeng Yang Hit paper breakdown →	2021	178
7	Deeply supervised 3D fully convolutional networks with group dilated convolution for automatic MRI prostate segmentation Medical Physics ·Yang Lei, Sibo Tian, Tonghe Wang, Yingzi Liu, Pretesh R Patel, Ashesh B. Jani, Hui Mao, Walter John Curran	2019	165
8	CBCT‐based synthetic CT generation using deep‐attention cycleGAN for pancreatic adaptive radiotherapy Medical Physics ·Yingzi Liu, Yang Lei, Tonghe Wang, Yabo Fu, Xiangyang Tang, Walter John Curran, Tian Liu, Pretesh R Patel	2020	162
9	Deep learning-based attenuation correction in the absence of structural information for whole-body positron emission tomography imaging Physics in Medicine and Biology ·Xue Dong, Yang Lei, Tonghe Wang, Kristin Ann Higgins, Tian Liu, Walter John Curran, Hui Mao, Jonathon A. Nye	2019	115
10	Synthetic CT generation from non-attenuation corrected PET images for whole-body PET imaging Physics in Medicine and Biology ·Xue Dong, Tonghe Wang, Yang Lei, Kristin Ann Higgins, Tian Liu, Walter John Curran, Hui Mao, Jonathon A. Nye	2019	109
11	Synthetic MRI-aided multi-organ segmentation on male pelvic CT using cycle consistent deep attention network Radiotherapy and Oncology ·Xue Dong, Yang Lei, Sibo Tian, Tonghe Wang, Pretesh R Patel, Walter John Curran, Ashesh B. Jani, Tian Liu	2019	108
12	Ultrasound prostate segmentation based on multidirectional deeply supervised V‐Net Medical Physics ·Yang Lei, Sibo Tian, Xiuxiu He, Tonghe Wang, Bo Wang, Pretesh R Patel, Ashesh B. Jani, Hui Mao	2019	104
13	Breast tumor segmentation in 3D automatic breast ultrasound using Mask scoring R‐CNN Medical Physics ·Yang Lei, Xiuxiu He, Jincao Yao, Tonghe Wang, Lijing Wang, Wei Li, Walter John Curran, Tian Liu	2020	99
14	LungRegNet: An unsupervised deformable image registration method for 4D‐CT lung Medical Physics ·Yabo Fu, Yang Lei, Tonghe Wang, Kristin Ann Higgins, Jeffrey D. Bradley, Walter John Curran, Tian Liu, Xiaofeng Yang	2020	96
15	2D medical image synthesis using transformer-based denoising diffusion probabilistic model Physics in Medicine and Biology ·Shaoyan Pan, Tonghe Wang, Richard L. J. Qiu, Marian Axente, Chih‐Wei Chang, Junbo Peng, Ashish Bharat Patel, Joseph W. Shelton	2023	93
16	Whole-body PET estimation from low count statistics using cycle-consistent generative adversarial networks Physics in Medicine and Biology ·Yang Lei, Xue Dong, Tonghe Wang, Kristin Ann Higgins, Tian Liu, Walter John Curran, Hui Mao, Jonathon A. Nye	2019	85
17	A learning-based automatic segmentation and quantification method on left ventricle in gated myocardial perfusion SPECT imaging: A feasibility study Journal of Nuclear Cardiology ·Tonghe Wang, Yang Lei, Haipeng Tang, Zhuo He, Richard Castillo, Cheng Wang, Dianfu Li, Kristin Ann Higgins	2019	81
18	Machine learning in quantitative PET: A review of attenuation correction and low-count image reconstruction methods Physica Medica ·Tonghe Wang, Yang Lei, Yabo Fu, Walter John Curran, Tian Liu, Jonathon A. Nye, Xiaofeng Yang	2020	80
19	MRI-based treatment planning for proton radiotherapy: dosimetric validation of a deep learning-based liver synthetic CT generation method Physics in Medicine and Biology ·Yingzi Liu, Yang Lei, Yinan Wang, Tonghe Wang, Lei Ren, Liyong Lin, Mark William McDonald, Walter John Curran	2019	77
20	CBCT‐Based synthetic CT image generation using conditional denoising diffusion probabilistic model Medical Physics ·Junbo Peng, Richard L. J. Qiu, Jacob Frank Wynne, Chih‐Wei Chang, Shaoyan Pan, Tonghe Wang, Justin R. Roper, Tian Liu Hit paper breakdown →	2023	75

About Tonghe Wang

Tonghe Wang is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine, having authored 229 papers that have together received 5.5k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (83 papers), Advanced Radiotherapy Techniques (78 papers), Advanced X-ray and CT Imaging (63 papers), Radiomics and Machine Learning in Medical Imaging (53 papers), Medical Image Segmentation Techniques (22 papers), Advanced Neural Network Applications (20 papers), Medical Imaging and Analysis (17 papers) and Advanced MRI Techniques and Applications (14 papers). The work is most often cited by research in Radiation (1.4k citations), Radiology, Nuclear Medicine and Imaging (2.7k citations), Health Informatics (106 citations), Computer Vision and Pattern Recognition (1.4k citations) and Biomedical Engineering (1.3k citations). Tonghe Wang has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Xiaofeng Yang, Yang Lei, Walter John Curran, Yabo Fu, Pretesh R Patel, Tian Liu, Tian Liu, Tian Liu, Ashesh B. Jani and Hui Mao. Their work appears in journals such as Medical Physics, Physics in Medicine and Biology, Journal of Applied Clinical Medical Physics, Medical dosimetry and British Journal of Radiology.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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About Tonghe Wang

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