Jin Su
Impact in
-
- Rheology and Fluid Dynamics Studies
- Computational Mechanics top 10%
- Lattice Boltzmann Simulation Studies
- Fluid Dynamics and Vibration Analysis
- Fluid Dynamics and Turbulent Flows
Papers in
-
- Lattice Boltzmann Simulation Studies 5
- Fluid Dynamics and Turbulent Flows 4
- Co-authors
- Jie Ouyang (8 shared papers)Xiaodong Wang (6 shared papers)Wen Zhou (6 shared papers)Wei Guo (3 shared papers)Binxin Yang (2 shared papers)Yu Su (2 shared papers)Chenyang Qi (1 shared paper)Zhongda Zeng (1 shared paper)
- Journals
- Journal of Non-Newtonian Fluid Mechanics (2 papers)Applied Sciences (2 papers)AIP Advances (2 papers)Journal of the European Ceramic Society (2 papers)International Journal of Extreme Manufacturing (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jin Su
28 papers receiving 291 citations
Peers
Comparison fields: 5 of 52
- Fluid Flow and Transfer Processes 61
- Computational Mechanics 105
- Materials Chemistry 107
- Automotive Engineering 23
- Mechanical Engineering 68
Countries citing papers authored by Jin Su
This map shows the geographic impact of Jin Su'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 Jin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Su more than expected).
Fields of papers citing papers by Jin Su
This network shows the impact of papers produced by Jin Su. 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 Jin Su. The network helps show where Jin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Su, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 33 | |
| 2 | 2023 | 28 | |
| 3 | 2010 | 28 | |
| 4 | 2016 | 23 | |
| 5 | 2013 | 22 | |
| 6 | 2013 | 22 | |
| 7 | 2024 | 20 | |
| 8 | 2013 | 18 | |
| 9 | 2010 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2014 | 11 | |
| 12 | 2014 | 8 | |
| 13 | 2011 | 8 | |
| 14 | 2024 | 8 | |
| 15 | 2017 | 6 | |
| 16 | 2014 | 6 | |
| 17 | 2025 | 5 | |
| 18 | 2025 | 5 | |
| 19 | 2017 | 5 | |
| 20 | 2022 | 4 |
About Jin Su
Jin Su is a scholar working on Computational Mechanics, Mechanical Engineering, Materials Chemistry, Mechanics of Materials and Fluid Flow and Transfer Processes, having authored 33 papers that have together received 305 indexed citations. Recurring topics across this work include Rheology and Fluid Dynamics Studies (6 papers), Lattice Boltzmann Simulation Studies (5 papers), Probabilistic and Robust Engineering Design (5 papers), Fluid Dynamics and Turbulent Flows (4 papers), Additive Manufacturing and 3D Printing Technologies (4 papers), Aluminum Alloy Microstructure Properties (3 papers), High-Velocity Impact and Material Behavior (3 papers) and Microstructure and mechanical properties (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (61 citations), Computational Mechanics (105 citations), Materials Chemistry (107 citations), Automotive Engineering (23 citations) and Mechanical Engineering (68 citations). Jin Su has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jie Ouyang, Xiaodong Wang, Wen Zhou, Wei Guo, Binxin Yang, Yu Su, Chenyang Qi, Zhongda Zeng, Changshun Wang and Shixiang Zhou. Their work appears in journals such as Journal of Non-Newtonian Fluid Mechanics, Applied Sciences, AIP Advances, Journal of the European Ceramic Society and International Journal of Extreme Manufacturing.
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.