Xiaoqing Jin
- Computational Mathematics top 0.5%
- Numerical Analysis top 0.5%
- Advanced Optimization Algorithms Research 21
- Computational Theory and Mathematics top 0.2%
- Matrix Theory and Algorithms 70
- Modeling and Simulation top 0.5%
- Software top 2%
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- Numerical methods in engineering 32
- Adhesion, Friction, and Surface Interactions 31
- Composite Material Mechanics 25
- Mechanical stress and fatigue analysis 24
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- Electromagnetic Scattering and Analysis 26
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- Advanced Numerical Methods in Computational Mathematics 16
- Co-authors
- Raymond H. ChanL. M. KeerZhanjiang WangQian WangJyotirmoy V. DeshmukhRandolph P. ThummelQinghua ZhouYimin Wei
- Journals
- Journal of the American Chemical Society (1 paper)SHILAP Revista de lepidopterología (1 paper)Journal of Applied Physics (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Xiaoqing Jin
194 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 166
- Computational Mathematics 163
- Numerical Analysis 765
- Computational Theory and Mathematics 1.4k
- Modeling and Simulation 398
- Software 221
Countries citing papers authored by Xiaoqing Jin
This map shows the geographic impact of Xiaoqing Jin'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 Xiaoqing Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoqing Jin more than expected).
Fields of papers citing papers by Xiaoqing Jin
This network shows the impact of papers produced by Xiaoqing Jin. 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 Xiaoqing Jin. The network helps show where Xiaoqing Jin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Xiaoqing Jin, 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 | 3 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 15 | |
| 6 | 2023 | 5 | |
| 7 | 2022 | 4 | |
| 8 | 2022 | 16 | |
| 9 | 2022 | 12 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 5 | |
| 12 | 2017 | 6 | |
| 13 | 2017 | 9 | |
| 14 | 2014 | 27 | |
| 15 | 2011 | 21 | |
| 16 | Quadratic Finite Element and Preconditioning for Options Pricing in the SVCJ Model | 2011 | 1 |
| 17 | 2005 | 3 | |
| 18 | Circulant preconditioners for solving ordinary differential equations | 2001 | 7 |
| 19 | 1998 | 1 | |
| 20 | 1991 | 72 |
About Xiaoqing Jin
Xiaoqing Jin is a scholar working on Computational Mathematics, Numerical Analysis and Computational Theory and Mathematics, having authored 202 papers that have together received 3.9k indexed citations. Recurring topics across this work include Matrix Theory and Algorithms (70 papers), Numerical methods in engineering (32 papers), Adhesion, Friction, and Surface Interactions (31 papers), Electromagnetic Scattering and Analysis (26 papers), Composite Material Mechanics (25 papers), Mechanical stress and fatigue analysis (24 papers), Advanced Optimization Algorithms Research (21 papers) and Advanced Numerical Methods in Computational Mathematics (16 papers). The work is most often cited by research in Computational Mathematics (163 citations), Numerical Analysis (765 citations) and Computational Theory and Mathematics (1.4k citations). Xiaoqing Jin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Raymond H. Chan, L. M. Keer, Zhanjiang Wang, Qian Wang, Jyotirmoy V. Deshmukh, Randolph P. Thummel, Qinghua Zhou, Yimin Wei, Fu‐Rong Lin and Alexandre Donzé. Their work appears in journals such as Journal of the American Chemical Society, SHILAP Revista de lepidopterología and Journal of Applied Physics.
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.