Shuo Yang

496 citations
67 papers · 347 · h-index 11

Impact in

Papers in

    • Fluid Dynamics and Thin Films 16
    • Fluid Dynamics and Heat Transfer 9
    • Characterization and Applications of Magnetic Nanoparticles 7
    • Thermochemical Biomass Conversion Processes 4
    • Microfluidic and Capillary Electrophoresis Applications 4

Shuo Yang

58 papers receiving 346 citations

Peers

Shuo Yang
Comparison fields: 5 of 97
  • Computational Mechanics 96
  • Toxicology 13
  • Biomedical Engineering 114
  • Materials Chemistry 75
  • Mechanical Engineering 59
Replace M. Miyamoto with:
M. Miyamoto Japan
Paweł Wawrzyniak Poland
Yuzhou Sun China
Timothy M. Crowder United States
Ning Zhou China
A. Laurent France
Mohammed A. Boraey Egypt
Reza Nouri United States
Xuan Cai China
Mahdi Aghajani Iran
Shuo Yang relative to M. Miyamoto Japan M. Miyamoto's profile →
Citations per field
00.5×8.1×
M. Miyamoto · 1×
Citations per year

Countries citing papers authored by Shuo Yang

Since Specialization
Citations

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

Fields of papers citing papers by Shuo Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201649
2 201520
3 201816
4 202214
5 201914
6 202313
7 201612
8 201311
9 202211
10 202510
11 202410
12 201810
13 201610
14 20228
15 20198
16 20258
17 20198
18 20157
19 20177
20 20187

About Shuo Yang

Shuo Yang is a scholar working on Computational Mechanics, Biomedical Engineering, Materials Chemistry, Mechanical Engineering and Molecular Biology, having authored 67 papers that have together received 347 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (16 papers), Solidification and crystal growth phenomena (15 papers), Fluid Dynamics and Heat Transfer (9 papers), Characterization and Applications of Magnetic Nanoparticles (7 papers), Forensic Toxicology and Drug Analysis (6 papers), Thermochemical Biomass Conversion Processes (4 papers), Metabolomics and Mass Spectrometry Studies (4 papers) and Microfluidic and Capillary Electrophoresis Applications (4 papers). The work is most often cited by research in Computational Mechanics (96 citations), Toxicology (13 citations), Biomedical Engineering (114 citations), Materials Chemistry (75 citations) and Mechanical Engineering (59 citations). Shuo Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ruquan Liang, Jing Liu, Shengxiang Ge, Xianbo Qiu, Ningshao Xia, Shizhi Qian, Xizhong An, Jun Zhang, Xiangzhong Ye and Ke Li. Their work appears in journals such as Journal of Chromatography B, Experimental Thermal and Fluid Science, Symmetry, Microgravity Science and Technology and New Journal of Physics.

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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