Tiegang Liu
- Computational Mechanics top 2%
- Computational Fluid Dynamics and Aerodynamics 53
- Advanced Numerical Methods in Computational Mathematics 31
- Fluid Dynamics and Turbulent Flows 26
- Lattice Boltzmann Simulation Studies 16
- Fluid Dynamics and Heat Transfer 7
- Applied Mathematics top 5%
- Gas Dynamics and Kinetic Theory 10
- Numerical Analysis top 10%
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- Model Reduction and Neural Networks 10
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- Numerical methods in engineering 6
- Co-authors
- Jian ChengFan ZhangHong LuoBoo Cheong KhooJianxian QiuXiaodong LiuHuazhong TangJun Zhu
- Journals
- Journal of Computational Physics (15 papers)Communications in Computational Physics (9 papers)Journal of Scientific Computing (7 papers)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Tiegang Liu
64 papers receiving 644 citations
Peers
Comparison fields: 5 of 44
- Computational Mechanics 611
- Applied Mathematics 154
- Numerical Analysis 68
- Statistical and Nonlinear Physics 69
- Aerospace Engineering 78
Countries citing papers authored by Tiegang Liu
This map shows the geographic impact of Tiegang Liu'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 Tiegang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiegang Liu more than expected).
Fields of papers citing papers by Tiegang Liu
This network shows the impact of papers produced by Tiegang Liu. 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 Tiegang Liu. The network helps show where Tiegang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tiegang Liu, 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 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 0 | |
| 9 | 2023 | 3 | |
| 10 | 2023 | 3 | |
| 11 | 2022 | 2 | |
| 12 | 2021 | 1 | |
| 13 | 2020 | 4 | |
| 14 | 2019 | 28 | |
| 15 | 2018 | 7 | |
| 16 | 2018 | 10 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 20 | |
| 19 | 2018 | 23 | |
| 20 | 2016 | 4 |
About Tiegang Liu
Tiegang Liu is a scholar working on Computational Mechanics, Applied Mathematics and Statistical and Nonlinear Physics, having authored 70 papers that have together received 664 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (53 papers), Advanced Numerical Methods in Computational Mathematics (31 papers), Fluid Dynamics and Turbulent Flows (26 papers), Lattice Boltzmann Simulation Studies (16 papers), Model Reduction and Neural Networks (10 papers), Gas Dynamics and Kinetic Theory (10 papers), Fluid Dynamics and Heat Transfer (7 papers) and Numerical methods in engineering (6 papers). The work is most often cited by research in Computational Mechanics (611 citations), Applied Mathematics (154 citations) and Numerical Analysis (68 citations). Tiegang Liu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Jian Cheng, Fan Zhang, Hong Luo, Boo Cheong Khoo, Jianxian Qiu, Xiaodong Liu, Huazhong Tang, Jun Zhu, Zhongfeng Sun and Zheng Wang. Their work appears in journals such as Journal of Computational Physics, Communications in Computational Physics, Journal of Scientific Computing, Computers & Fluids and Computer Physics Communications.
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.