Junxiang Yang
- Computational Mechanics top 1%
- Fluid Dynamics and Thin Films 65
- Lattice Boltzmann Simulation Studies 19
- Fluid Dynamics and Heat Transfer 15
- Advanced Numerical Methods in Computational Mathematics 13
- Numerical Analysis top 5%
- Materials Chemistry top 5%
- Solidification and crystal growth phenomena 91
- Block Copolymer Self-Assembly 22
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- Advanced Mathematical Modeling in Engineering 17
- Modeling and Simulation top 10%
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- Aluminum Alloy Microstructure Properties 19
Junxiang Yang
114 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Computational Mechanics 642
- Numerical Analysis 106
- Materials Chemistry 828
- Computational Theory and Mathematics 178
- Modeling and Simulation 33
Countries citing papers authored by Junxiang Yang
This map shows the geographic impact of Junxiang 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 Junxiang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junxiang Yang more than expected).
Fields of papers citing papers by Junxiang Yang
This network shows the impact of papers produced by Junxiang 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 Junxiang Yang. The network helps show where Junxiang Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Junxiang 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 7 | |
| 9 | 2024 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 0 | |
| 15 | 2023 | 25 | |
| 16 | 2023 | 4 | |
| 17 | 2023 | 15 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 7 | |
| 20 | 2023 | 5 |
About Junxiang Yang
Junxiang Yang is a scholar working on Computational Mechanics, Materials Chemistry, Numerical Analysis, Computational Theory and Mathematics and Aerospace Engineering, having authored 125 papers that have together received 1.1k indexed citations. Recurring topics across this work include Solidification and crystal growth phenomena (91 papers), Fluid Dynamics and Thin Films (65 papers), Block Copolymer Self-Assembly (22 papers), Lattice Boltzmann Simulation Studies (19 papers), Aluminum Alloy Microstructure Properties (19 papers), Advanced Mathematical Modeling in Engineering (17 papers), Fluid Dynamics and Heat Transfer (15 papers) and Advanced Numerical Methods in Computational Mathematics (13 papers). The work is most often cited by research in Computational Mechanics (642 citations), Numerical Analysis (106 citations), Materials Chemistry (828 citations), Computational Theory and Mathematics (178 citations) and Modeling and Simulation (33 citations). Junxiang Yang has collaborated with scholars based in South Korea, China and Macao. Frequent co-authors include Junseok Kim, Yibao Li, Zhijun Tan, Chaeyoung Lee, Darae Jeong, Soobin Kwak, Yupeng Liu, Yiming Hao, Songnan Qu and Jian Wang. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Journal of Computational Physics, Computers & Mathematics with Applications, Computer Physics Communications and Computer Methods in Applied Mechanics and 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.