Qinian Jin
Impact in
- Mathematical Physics top 1%
- Numerical methods in inverse problems
- Numerical Analysis top 5%
- Iterative Methods for Nonlinear Equations
Papers in ⓘ
-
- Numerical methods in inverse problems 55
-
- Statistical and numerical algorithms 26
- Co-authors
- Ulrich Tautenhahn (4 shared papers)Yanyan Li (2 shared papers)Xiliang Lu (5 shared papers)Umberto Amato (2 shared papers)Yuling Jiao (2 shared papers)Yanyan Li (1 shared paper)Hongqi Yang (1 shared paper)Wei Wang (1 shared paper)
- Journals
- Inverse Problems (21 papers)Numerische Mathematik (11 papers)SIAM Journal on Numerical Analysis (4 papers)Mathematics of Computation (3 papers)SIAM Journal on Imaging Sciences (1 paper)
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Qinian Jin
59 papers receiving 834 citations
Peers
Comparison fields: 5 of 67
- Mathematical Physics 678
- Numerical Analysis 157
- Applied Mathematics 280
- Computational Mechanics 340
- Computational Theory and Mathematics 140
Countries citing papers authored by Qinian Jin
This map shows the geographic impact of Qinian 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 Qinian Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qinian Jin more than expected).
Fields of papers citing papers by Qinian Jin
This network shows the impact of papers produced by Qinian 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 Qinian Jin. The network helps show where Qinian Jin may publish in the future.
Co-authors
The 24 scholars most cited alongside Qinian 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
Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 69 | |
| 2 | 2013 | 59 | |
| 3 | 2000 | 57 | |
| 4 | 2009 | 46 | |
| 5 | 1999 | 38 | |
| 6 | 2016 | 38 | |
| 7 | 2008 | 38 | |
| 8 | 2006 | 31 | |
| 9 | 2010 | 29 | |
| 10 | 2019 | 27 | |
| 11 | 2012 | 26 | |
| 12 | 2005 | 25 | |
| 13 | 1999 | 24 | |
| 14 | 2013 | 24 | |
| 15 | 2012 | 23 | |
| 16 | 2006 | 23 | |
| 17 | 2001 | 22 | |
| 18 | 2011 | 22 | |
| 19 | 2015 | 20 | |
| 20 | 2020 | 19 |
About Qinian Jin
Qinian Jin is a scholar working on Mathematical Physics, Applied Mathematics, Numerical Analysis, Computational Mechanics and Computational Theory and Mathematics, having authored 61 papers that have together received 919 indexed citations. Recurring topics across this work include Numerical methods in inverse problems (55 papers), Sparse and Compressive Sensing Techniques (30 papers), Statistical and numerical algorithms (26 papers), Iterative Methods for Nonlinear Equations (11 papers), Microwave Imaging and Scattering Analysis (10 papers), Advanced Mathematical Modeling in Engineering (5 papers), Image and Signal Denoising Methods (4 papers) and Matrix Theory and Algorithms (4 papers). The work is most often cited by research in Mathematical Physics (678 citations), Numerical Analysis (157 citations), Applied Mathematics (280 citations), Computational Mechanics (340 citations) and Computational Theory and Mathematics (140 citations). Qinian Jin has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Ulrich Tautenhahn, Yanyan Li, Xiliang Lu, Umberto Amato, Yuling Jiao, Yanyan Li, Hongqi Yang, Wei Wang, Markus Hegland and Zhengqiang Zhang. Their work appears in journals such as Inverse Problems, Numerische Mathematik, SIAM Journal on Numerical Analysis, Mathematics of Computation and SIAM Journal on Imaging Sciences.
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.