Jing‐Mei Qiu
- Numerical Analysis top 2%
- Numerical methods for differential equations 12
- Computational Mathematics top 5%
- Tensor decomposition and applications 6
- Applied Mathematics top 1%
- Gas Dynamics and Kinetic Theory 29
- Computational Mechanics top 1%
- Computational Fluid Dynamics and Aerodynamics 46
- Fluid Dynamics and Turbulent Flows 24
- Advanced Numerical Methods in Computational Mathematics 23
- Lattice Boltzmann Simulation Studies 5
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- Model Reduction and Neural Networks 6
- Co-authors
- Chi‐Wang ShuAndrew ChristliebTao XiongZhengfu XuWei GuoGiovanni RussoFengyan LiSebastiano Boscarino
- Journals
- Journal of Computational Physics (23 papers)Journal of Scientific Computing (16 papers)SIAM Journal on Scientific Computing (7 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Jing‐Mei Qiu
63 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 54
- Numerical Analysis 316
- Computational Mathematics 34
- Applied Mathematics 551
- Computational Mechanics 1.1k
- Statistical and Nonlinear Physics 118
Countries citing papers authored by Jing‐Mei Qiu
This map shows the geographic impact of Jing‐Mei Qiu'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 Jing‐Mei Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing‐Mei Qiu more than expected).
Fields of papers citing papers by Jing‐Mei Qiu
This network shows the impact of papers produced by Jing‐Mei Qiu. 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 Jing‐Mei Qiu. The network helps show where Jing‐Mei Qiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jing‐Mei Qiu, 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 | 2025 | 4 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 11 | |
| 6 | 2024 | 3 | |
| 7 | 2024 | 1 | |
| 8 | 2022 | 6 | |
| 9 | 2022 | 4 | |
| 10 | 2022 | 2 | |
| 11 | 2020 | 18 | |
| 12 | 2020 | 14 | |
| 13 | 2018 | 14 | |
| 14 | 2018 | 20 | |
| 15 | 2015 | 31 | |
| 16 | 2014 | 39 | |
| 17 | 2014 | 18 | |
| 18 | 2014 | 33 | |
| 19 | 2012 | 48 | |
| 20 | 2011 | 49 |
About Jing‐Mei Qiu
Jing‐Mei Qiu is a scholar working on Computational Mathematics, Applied Mathematics and Numerical Analysis, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (46 papers), Gas Dynamics and Kinetic Theory (29 papers), Fluid Dynamics and Turbulent Flows (24 papers), Advanced Numerical Methods in Computational Mathematics (23 papers), Numerical methods for differential equations (12 papers), Model Reduction and Neural Networks (6 papers), Tensor decomposition and applications (6 papers) and Lattice Boltzmann Simulation Studies (5 papers). The work is most often cited by research in Numerical Analysis (316 citations), Computational Mathematics (34 citations) and Applied Mathematics (551 citations). Jing‐Mei Qiu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Chi‐Wang Shu, Andrew Christlieb, Tao Xiong, Zhengfu Xu, Wei Guo, Giovanni Russo, Fengyan Li, Sebastiano Boscarino, Wei Guo and Jianxian Qiu. Their work appears in journals such as Journal of Computational Physics, Journal of Scientific Computing, SIAM Journal on Scientific Computing, SIAM Journal on Numerical Analysis and The Astrophysical Journal.
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.