Changyu Sun

517 total citations
39 papers, 314 citations indexed

About

Changyu Sun is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Changyu Sun has authored 39 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Cardiology and Cardiovascular Medicine and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Changyu Sun's work include Advanced MRI Techniques and Applications (16 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiovascular Function and Risk Factors (5 papers). Changyu Sun is often cited by papers focused on Advanced MRI Techniques and Applications (16 papers), Cardiac Imaging and Diagnostics (8 papers) and Cardiovascular Function and Risk Factors (5 papers). Changyu Sun collaborates with scholars based in United States, China and France. Changyu Sun's co-authors include Frederick H. Epstein, Kenneth C. Bilchick, Jinkuan Wang, Ruiyan Du, Fulai Liu, Craig H. Meyer, Daniel A. Auger, Terence Dwyer, Daniel B. Ennis and S R Srinivasan and has published in prestigious journals such as PLoS ONE, Magnetic Resonance in Medicine and Energy.

In The Last Decade

Changyu Sun

33 papers receiving 308 citations

Peers

Changyu Sun
James D. Dormer United States
Souheil Mansour France
Florian Tetschke Germany
Yike Wang China
Akihiko Masuda Japan
Evan Hirst New Zealand
Petri Korhonen Finland
Michael Seger Austria
Gregory J Wehner United States
James D. Dormer United States
Changyu Sun
Citations per year, relative to Changyu Sun Changyu Sun (= 1×) peers James D. Dormer

Countries citing papers authored by Changyu Sun

Since Specialization
Citations

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

Fields of papers citing papers by Changyu Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Changyu Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Changyu Sun. A scholar is included among the top collaborators of Changyu Sun 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 Changyu Sun. Changyu Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhong, Jin‐Rong, Ya Zhu, Changyu Sun, et al.. (2025). Microfluidic investigation on CO2 self-storage behavior in submarine sediment using artificial intelligence image recognition. Energy. 337. 138587–138587. 1 indexed citations
2.
Zeng, Yi, Huiqi Yang, Ying Bi, et al.. (2025). Trends of Alzheimer's Disease and Other Dementias with Socioeconomic Insights: An Age-period-cohort Analysis and Forecasts for 2046. Neuroepidemiology. 1–20. 2 indexed citations
3.
4.
Yu, Xiaohui, et al.. (2025). Genetic algorithm-enhanced hybrid physics-informed neural networks for very high cycle fatigue life prediction. Engineering Fracture Mechanics. 325. 111359–111359.
5.
Sun, Changyu, Namita Goyal, Yu Wang, et al.. (2025). Conditional diffusion-generated super-resolution for myocardial perfusion MRI. Frontiers in Cardiovascular Medicine. 12. 1499593–1499593. 1 indexed citations
6.
Jiang, Huan, Na Sun, Huiqi Yang, et al.. (2025). Global, regional, and national time trends in falls and their predictions: an age-period-cohort analysis of the Global Burden of Disease Study 2021. Frontiers in Public Health. 13. 1598507–1598507.
7.
Sun, Changyu, Senthil Kumar, & Talissa A. Altes. (2024). Spatiotemporal FBactal Analysis and Radiomics of FBee-breathing Stress Myocardial Perfusion. Journal of Cardiovascular Magnetic Resonance. 26. 100725–100725. 1 indexed citations
8.
Sun, Changyu, Senthil Kumar, & Talissa A. Altes. (2024). Free-breathing High-resolution Perfusion MRI with over 11-fold Acceleration Using Self-supervised Learning. Journal of Cardiovascular Magnetic Resonance. 26. 100137–100137. 1 indexed citations
9.
Sun, Changyu, Senthil Kumar, & Talissa A. Altes. (2024). Phase-Specific Spatiotemporal Fractal Analysis and Radiomics of Free-breathing Stress Myocardial Perfusion. Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition.
10.
Sun, Changyu, Pierre Croisille, Magalie Viallon, et al.. (2023). StrainNet: Improved Myocardial Strain Analysis of Cine MRI by Deep Learning from DENSE. Radiology Cardiothoracic Imaging. 5(3). e220196–e220196. 17 indexed citations
11.
Auger, Daniel A., Xiaoying Cai, Changyu Sun, et al.. (2022). Reproducibility of global and segmental myocardial strain using cine DENSE at 3 T: a multicenter cardiovascular magnetic resonance study in healthy subjects and patients with heart disease. Journal of Cardiovascular Magnetic Resonance. 24(1). 23–23. 18 indexed citations
12.
Auger, Daniel A., Changyu Sun, Christopher A. Hanson, et al.. (2021). Cardiac Magnetic Resonance Assessment of Response to Cardiac Resynchronization Therapy and Programming Strategies. JACC. Cardiovascular imaging. 14(12). 2369–2383. 15 indexed citations
13.
Auger, Daniel A., Xue Feng, Changyu Sun, et al.. (2021). Fully-automated global and segmental strain analysis of DENSE cardiovascular magnetic resonance using deep learning for segmentation and phase unwrapping. Journal of Cardiovascular Magnetic Resonance. 23(1). 20–20. 25 indexed citations
14.
Bilchick, Kenneth C., Daniel A. Auger, Roshin C. Mathew, et al.. (2019). CMR DENSE and the Seattle Heart Failure Model Inform Survival and Arrhythmia Risk After CRT. JACC. Cardiovascular imaging. 13(4). 924–936. 22 indexed citations
15.
Sun, Changyu, Christopher M. Walker, Keith A. Michel, et al.. (2017). Influence of parameter accuracy on pharmacokinetic analysis of hyperpolarized pyruvate. Magnetic Resonance in Medicine. 79(6). 3239–3248. 17 indexed citations
16.
17.
Chu, Chunyu, et al.. (2015). Resolving intravoxel fiber architecture using nonconvex regularized blind compressed sensing. Physics in Medicine and Biology. 60(6). 2339–2354. 1 indexed citations
18.
Chu, Chunyu, et al.. (2015). Multifiber pathway reconstruction using bundle constrained streamline. Computerized Medical Imaging and Graphics. 46. 291–299. 3 indexed citations
19.
Sun, Changyu, Chunyu Chu, Wan‐Yu Liu, et al.. (2015). Quantitative representation and description of intravoxel fiber complexity in HARDI. Physics in Medicine and Biology. 60(21). 8417–8436. 1 indexed citations
20.
Sun, Changyu, Angela Pezic, Jennifer Cochrane, et al.. (2014). The effect of known cardiovascular risk factors on carotid-femoral pulse wave velocity in school-aged children: a population based twin study. Journal of Developmental Origins of Health and Disease. 5(4). 307–313. 8 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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