Wei Sun

16.4k citations
278 papers · 12.7k indexed · 7 hit papers · h-index 54

Wei Sun

267 papers receiving 12.4k citations

Hit Papers

3D Printed Conductiv...1072014202620182022250500750

Peers

Wei Sun
Comparison fields: 5 of 181
  • Automotive Engineering 4.5k
  • Biomedical Engineering 9.4k
  • Biomaterials 1.8k
  • Molecular Medicine 362
  • Biophysics 322
Replace Shaochen Chen with:
Shaochen Chen United States
Yong He China
Jürgen Gröll Germany
Jianzhong Fu China
Kan Yue China
Su Ryon Shin United States
Benjamin M. Wu United States
Sang Jin Lee South Korea
Mehmet R. Dokmeci United States
Brian Derby United Kingdom
Wei Sun relative to Shaochen Chen United States Shaochen Chen's profile →
Citations per field
00.5×1.5×
Shaochen Chen · 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-authorship network

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
#Work
1 20251
2 20250
3 20253
4 20252
5 20249
6 20241
7 20243
8 20230
9 202313
10 20235
11 20234
12 202323
13 20233
14 202316
15 202132
16
The bioprinting roadmapbreakdown →
2020323
17 202032
18 2019118
19 20196
20 201839

About Wei Sun

Wei Sun is a scholar working on Automotive Engineering, Biomedical Engineering, Biomaterials, Surfaces, Coatings and Films and Industrial and Manufacturing Engineering, having authored 278 papers that have together received 12.7k indexed citations. Recurring topics across this work include 3D Printing in Biomedical Research (100 papers), Additive Manufacturing and 3D Printing Technologies (67 papers), Bone Tissue Engineering Materials (42 papers), Innovative Microfluidic and Catalytic Techniques Innovation (27 papers), Electrospun Nanofibers in Biomedical Applications (26 papers), Ferroelectric and Piezoelectric Materials (24 papers), Tissue Engineering and Regenerative Medicine (20 papers) and Multiferroics and related materials (20 papers). The work is most often cited by research in Automotive Engineering (4.5k citations), Biomedical Engineering (9.4k citations), Biomaterials (1.8k citations), Molecular Medicine (362 citations) and Biophysics (322 citations). Wei Sun has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Liliang Ouyang, Rui Yao, Yu Zhao, Robert C. Chang, Jason A. Burdick, Jae Do Nam, Binil Starly, Christopher B. Highley, Andrew Darling and Jing‐Feng Li. Their work appears in journals such as Biofabrication, Diagnostic Cytopathology, Journal of Manufacturing Science and Engineering, Computer-Aided Design and ACS Applied Materials & Interfaces.

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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