Jun Geng
Impact in
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
- Advanced Harmonic Analysis Research
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- Advanced Mathematical Modeling in Engineering
Papers in
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- Advanced Mathematical Modeling in Engineering 17
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- Nonlinear Partial Differential Equations 9
- Advanced Harmonic Analysis Research 2
- Co-authors
- Zhongwei Shen (7 shared papers)Jonathan V. Selinger (5 shared papers)Robin L. B. Selinger (3 shared papers)Thanh‐Son Nguyen (1 shared paper)Linda S. Hirst (2 shared papers)Matthew Fraser (2 shared papers)Jixiang Chen (2 shared papers)Liang Song (1 shared paper)
- Journals
- Journal of Functional Analysis (3 papers)Journal of Differential Equations (3 papers)Mathematische Annalen (2 papers)Analysis & PDE (1 paper)Soft Matter (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Jun Geng
18 papers receiving 270 citations
Peers
Comparison fields: 5 of 46
- Applied Mathematics 112
- Computational Theory and Mathematics 147
- Mathematical Physics 34
- Computational Mechanics 73
- Condensed Matter Physics 37
Countries citing papers authored by Jun Geng
This map shows the geographic impact of Jun Geng'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 Jun Geng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Geng more than expected).
Fields of papers citing papers by Jun Geng
This network shows the impact of papers produced by Jun Geng. 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 Jun Geng. The network helps show where Jun Geng may publish in the future.
Co-authors
The 8 scholars most cited alongside Jun Geng, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 42 | |
| 2 | 2012 | 42 | |
| 3 | 2013 | 34 | |
| 4 | 2010 | 30 | |
| 5 | 2009 | 28 | |
| 6 | 2015 | 26 | |
| 7 | 2016 | 21 | |
| 8 | 2011 | 19 | |
| 9 | 2015 | 10 | |
| 10 | 2017 | 7 | |
| 11 | 2015 | 5 | |
| 12 | 2017 | 5 | |
| 13 | 2012 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2014 | 3 | |
| 16 | 2020 | 2 | |
| 17 | Elliptic Boundary Value Problems On Non-Smooth Domains | 2011 | 1 |
| 18 | 2017 | 1 | |
| 19 | 2013 | 1 | |
| 20 | 2023 | 0 |
About Jun Geng
Jun Geng is a scholar working on Computational Theory and Mathematics, Applied Mathematics, Mechanics of Materials, Computational Mechanics and Mathematical Physics, having authored 24 papers that have together received 284 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (17 papers), Nonlinear Partial Differential Equations (9 papers), Advanced Numerical Methods in Computational Mathematics (8 papers), Composite Material Mechanics (8 papers), Numerical methods in inverse problems (4 papers), Surfactants and Colloidal Systems (3 papers), Advanced Harmonic Analysis Research (2 papers) and Lipid Membrane Structure and Behavior (2 papers). The work is most often cited by research in Applied Mathematics (112 citations), Computational Theory and Mathematics (147 citations), Mathematical Physics (34 citations), Computational Mechanics (73 citations) and Condensed Matter Physics (37 citations). Jun Geng has collaborated with scholars based in China and United States. Frequent co-authors include Zhongwei Shen, Jonathan V. Selinger, Robin L. B. Selinger, Thanh‐Son Nguyen, Linda S. Hirst, Matthew Fraser, Jixiang Chen and Liang Song. Their work appears in journals such as Journal of Functional Analysis, Journal of Differential Equations, Mathematische Annalen, Analysis & PDE and Soft Matter.
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.