Wei Sun

6.9k citations
150 papers · 5.1k · 1 hit paper · h-index 42

Impact in

Papers in

Wei Sun

147 papers receiving 5.0k citations

Wei Sun's Hit Papers

A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis 2018 · 326 citations
3260+2+5Years since publication100200300

Peers

Wei Sun
Comparison fields: 5 of 151
  • Cardiology and Cardiovascular Medicine 2.9k
  • Pulmonary and Respiratory Medicine 1.5k
  • Surgery 1.6k
  • Biomedical Engineering 1.6k
  • Epidemiology 977
Replace Danny Bluestein with:
Danny Bluestein United States
Francesco Migliavacca Italy
Gabriele Dubini Italy
Ulrich Steinseifer Germany
Gerhard Sommer Austria
Michael S. Sacks United States
K. B. Chandran United States
Umberto Morbiducci Italy
Robin Shandas United States
H. Reul Germany
Wei Sun relative to Danny Bluestein United States Danny Bluestein's profile →
Citations per field
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Danny Bluestein · 1×
Citations per year

Countries citing papers authored by Wei Sun

Since Specialization
Citations

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

Fields of papers citing papers by Wei Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wei Sun, 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 Wei Sun Line = papers co-authored together Wei Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A deep learning approach to estimate stress distribution: a fast and accurate surrogate of finite-element analysis
Hit paper breakdown →
2018326
2 2003224
3 2019167
4 2005137
5 2005123
6 2005120
7 2017112
8 2010106
9 201798
10 201095
11 201295
12 201992
13 201692
14 201289
15 201787
16 201386
17 200886
18 202081
19 200380
20 201579

About Wei Sun

Wei Sun is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Pulmonary and Respiratory Medicine, Biomedical Engineering and Epidemiology, having authored 150 papers that have together received 5.1k indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (86 papers), Aortic Disease and Treatment Approaches (47 papers), Elasticity and Material Modeling (44 papers), Cardiovascular Function and Risk Factors (31 papers), Coronary Interventions and Diagnostics (30 papers), Aortic aneurysm repair treatments (27 papers), Infective Endocarditis Diagnosis and Management (24 papers) and Cardiac Structural Anomalies and Repair (14 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (2.9k citations), Pulmonary and Respiratory Medicine (1.5k citations), Surgery (1.6k citations), Biomedical Engineering (1.6k citations) and Epidemiology (977 citations). Wei Sun has collaborated with scholars based in United States, China and Colombia. Frequent co-authors include Caitlin Martin, Liang Liang, Michael S. Sacks, Minliang Liu, Thuy M. Pham, Wenbin Mao, Kewei Li, John A. Elefteriades, C. F. Martin and Andrés Caballero. Their work appears in journals such as Journal of the mechanical behavior of biomedical materials, Journal of Biomechanical Engineering, Journal of Biomechanics, Biomechanics and Modeling in Mechanobiology and Annals of Biomedical Engineering.

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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