Suyu Dong

638 total citations
36 papers, 362 citations indexed

About

Suyu Dong is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Computer Vision and Pattern Recognition. According to data from OpenAlex, Suyu Dong has authored 36 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Cardiology and Cardiovascular Medicine and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Suyu Dong's work include Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cardiac Valve Diseases and Treatments (6 papers). Suyu Dong is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Radiomics and Machine Learning in Medical Imaging (6 papers) and Cardiac Valve Diseases and Treatments (6 papers). Suyu Dong collaborates with scholars based in China, United Kingdom and Saudi Arabia. Suyu Dong's co-authors include Gongning Luo, Kuanquan Wang, Henggui Zhang, Shaodong Cao, Wangmeng Zuo, Ran An, Shuo Li, Wei Wang, Qince Li and Yan Zhao and has published in prestigious journals such as Journal of Clinical Oncology, Bioinformatics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Suyu Dong

30 papers receiving 359 citations

Peers

Suyu Dong

RNMI

CCM

CVPR

Zhaohan Xiong New Zealand

Mustafa Elattar Egypt

Qing Cao China

Fuli Wu China

Hieu H. Pham Vietnam

Mohammad H. Jafari Canada

Martino Alessandrini Belgium

Rayan Krishnan United States

Sobhan Goudarzi Canada

Mingquan Lin United States

Zhaohan Xiong New Zealand

Suyu Dong

126 ×0.8

RNMI

344 ×2.5

CCM

45 ×0.5

CVPR

66 ×1.0

74 ×1.2

Citations per year, relative to Suyu Dong Suyu Dong (= 1×) peers Zhaohan Xiong

Countries citing papers authored by Suyu Dong

Since Specialization

Citations

This map shows the geographic impact of Suyu Dong'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 Suyu Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suyu Dong more than expected).

Fields of papers citing papers by Suyu Dong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suyu Dong. 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 Suyu Dong. The network helps show where Suyu Dong may publish in the future.

Co-authorship network of co-authors of Suyu Dong

This figure shows the co-authorship network connecting the top 25 collaborators of Suyu Dong. A scholar is included among the top collaborators of Suyu Dong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suyu Dong. Suyu Dong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Dong, Suyu, et al.. (2025). TCRdesign: an antigen-specific generative language model for de novo design of T-cell receptors. Briefings in Bioinformatics. 26(6).

Dong, Suyu, Changyin Sun, Wenxiang Cong, et al.. (2025). TransDiffECG: Semantically controllable ECG synthesis via transformer-based diffusion modeling. Journal of Biomedical Informatics. 172. 104948–104948.

Dong, Suyu, et al.. (2025). Hypergraph-driven landmark detection foundation model on echocardiography for cardiac function quantification. Pattern Recognition. 170. 111927–111927. 1 indexed citations

Wang, Wei, et al.. (2025). Diffusion model for medical image denoising, reconstruction and translation. Computerized Medical Imaging and Graphics. 124. 102593–102593. 1 indexed citations

Zhang, Yifeng, et al.. (2025). SPEMix: a lightweight method via superclass pseudo-label and efficient mixup for echocardiogram view classification. Frontiers in Artificial Intelligence. 7. 1467218–1467218. 1 indexed citations

Li, Huaidong, et al.. (2025). Multi-view semi-supervised attention network for 3D cardiac image segmentation. Frontiers in Cardiovascular Medicine. 12. 1461774–1461774.

Li, Xiaokun, Kuanquan Wang, Suyu Dong, et al.. (2025). THLANet: A deep learning framework for predicting TCR-pHLA binding in immunotherapy applications. PLoS Computational Biology. 21(9). e1013050–e1013050.

Ma, Xinghua, et al.. (2025). Convergent–Diffusion Denoising Model for multi-scenario CT Image Reconstruction. Computerized Medical Imaging and Graphics. 120. 102491–102491. 3 indexed citations

Li, Xiaokun, Kuanquan Wang, Suyu Dong, et al.. (2024). HLAIImaster: a deep learning method with adaptive domain knowledge predicts HLA II neoepitope immunogenic responses. Briefings in Bioinformatics. 25(4). 8 indexed citations

10.

Li, Xiaokun, Kuanquan Wang, Suyu Dong, et al.. (2024). Meta learning for mutant HLA class I epitope immunogenicity prediction to accelerate cancer clinical immunotherapy. Briefings in Bioinformatics. 26(1). 4 indexed citations

11.

Ma, Jing, et al.. (2024). Biomedically Informed ECG Synthesis: Customizing Cardiac Cycle Phases with Diffusion Model. 3505–3508. 1 indexed citations

12.

Guo, Z. J., Yuting Zhang, Suyu Dong, et al.. (2023). An improved contrastive learning network for semi-supervised multi-structure segmentation in echocardiography. Frontiers in Cardiovascular Medicine. 10. 1266260–1266260. 1 indexed citations

13.

Xiao, Xin, et al.. (2023). MAE-TransRNet: An improved transformer-ConvNet architecture with masked autoencoder for cardiac MRI registration. Frontiers in Medicine. 10. 1114571–1114571. 2 indexed citations

14.

Li, Xiaokun, Gongning Luo, Wei Wang, et al.. (2023). SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug–target interactions. Bioinformatics Advances. 3(1). vbad116–vbad116. 2 indexed citations

15.

Cao, Shaodong, et al.. (2022). Feasibility Study of Intelligent Three-Dimensional Accurate Liver Reconstruction Technology Based on MRI Data. Frontiers in Medicine. 9. 834555–834555. 1 indexed citations

16.

Dong, Suyu, Gongning Luo, Wei Wang, et al.. (2020). Deep Atlas Network for Efficient 3D Left Ventricle Segmentation on Echocardiography. Medical Image Analysis. 61. 101638–101638. 40 indexed citations

17.

Luo, Gongning, Suyu Dong, Kuanquan Wang, et al.. (2017). Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images. IEEE Transactions on Biomedical Engineering. 65(9). 1924–1934. 60 indexed citations

18.

Bai, Jieyun, Kuanquan Wang, Yashu Liu, et al.. (2017). Computational Cardiac Modeling Reveals Mechanisms of Ventricular Arrhythmogenesis in Long QT Syndrome Type 8: CACNA1C R858H Mutation Linked to Ventricular Fibrillation. Frontiers in Physiology. 8. 771–771. 27 indexed citations

19.

Luo, Gongning, et al.. (2016). A Novel Left Ventricular Volumes Prediction Method Based on Deep Learning Network in Cardiac MRI. Computing in cardiology. 43. 26 indexed citations

20.

Dong, Suyu, et al.. (2016). A Left Ventricular Segmentation Method on 3D Echocardiography Using Deep Learning and Snake. Computing in cardiology. 43. 22 indexed citations

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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