Shuo Yang
Impact in
- Computational Mechanics top 10%
- Fluid Dynamics and Thin Films
- Fluid Dynamics and Heat Transfer
Papers in
-
- Fluid Dynamics and Thin Films 15
- Fluid Dynamics and Heat Transfer 8
-
- Characterization and Applications of Magnetic Nanoparticles 7
- Microfluidic and Capillary Electrophoresis Applications 4
- Co-authors
- Ruquan Liang (10 shared papers)Jing Liu (2 shared papers)Ningshao Xia (3 shared papers)Xianbo Qiu (3 shared papers)Shengxiang Ge (3 shared papers)Shizhi Qian (2 shared papers)Xizhong An (1 shared paper)Shiyin Zhang (1 shared paper)
- Journals
- Journal of Chromatography B (4 papers)Symmetry (3 papers)Experimental Thermal and Fluid Science (3 papers)New Journal of Physics (2 papers)Microgravity Science and Technology (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Shuo Yang
55 papers receiving 311 citations
Peers
Comparison fields: 5 of 99
- Computational Mechanics 93
- Toxicology 10
- Biomedical Engineering 111
- Materials Chemistry 70
- Mechanical Engineering 54
Countries citing papers authored by Shuo Yang
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
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.
All Works
Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 49 | |
| 2 | 2015 | 20 | |
| 3 | 2018 | 16 | |
| 4 | 2019 | 14 | |
| 5 | 2023 | 13 | |
| 6 | 2016 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2013 | 11 | |
| 9 | 2018 | 10 | |
| 10 | 2016 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2019 | 8 | |
| 13 | 2022 | 8 | |
| 14 | 2015 | 7 | |
| 15 | 2022 | 7 | |
| 16 | 2025 | 7 | |
| 17 | 2017 | 7 | |
| 18 | 2018 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2023 | 6 |
About Shuo Yang
Shuo Yang is a scholar working on Computational Mechanics, Biomedical Engineering, Materials Chemistry, Mechanical Engineering and Molecular Biology, having authored 63 papers that have together received 314 indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (15 papers), Solidification and crystal growth phenomena (14 papers), Fluid Dynamics and Heat Transfer (8 papers), Characterization and Applications of Magnetic Nanoparticles (7 papers), Forensic Toxicology and Drug Analysis (6 papers), Analytical Chemistry and Chromatography (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 (93 citations), Toxicology (10 citations), Biomedical Engineering (111 citations), Materials Chemistry (70 citations) and Mechanical Engineering (54 citations). Shuo Yang has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ruquan Liang, Jing Liu, Ningshao Xia, Xianbo Qiu, Shengxiang Ge, Shizhi Qian, Xizhong An, Shiyin Zhang, Jun Zhang and Jicheng He. Their work appears in journals such as Journal of Chromatography B, Symmetry, Experimental Thermal and Fluid Science, New Journal of Physics and Microgravity Science and Technology.
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.