Qingfang Wang
Impact in
- Applied Mathematics top 5%
- Nonlinear Partial Differential Equations
- Nonlinear Differential Equations Analysis
- Mathematical Physics top 10%
- Advanced Mathematical Physics Problems
- Spectral Theory in Mathematical Physics
Papers in
-
- Nonlinear Partial Differential Equations 12
- Nonlinear Differential Equations Analysis 2
-
- Advanced Mathematical Physics Problems 9
- Numerical methods in inverse problems 2
- Co-authors
- Wei Shuai (2 shared papers)Xiao Luo (1 shared paper)Shuangjie Peng (3 shared papers)Danhong Wang (1 shared paper)Minghui Zhang (1 shared paper)Zhi-Qiang Wang (1 shared paper)Ruixin Zhang (2 shared papers)Zi Ye (2 shared papers)
In The Last Decade
Qingfang Wang
22 papers receiving 303 citations
Peers
Comparison fields: 5 of 56
- Applied Mathematics 141
- Mathematical Physics 101
- Computational Theory and Mathematics 102
- Organic Chemistry 78
- Inorganic Chemistry 25
Countries citing papers authored by Qingfang Wang
This map shows the geographic impact of Qingfang Wang'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 Qingfang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qingfang Wang more than expected).
Fields of papers citing papers by Qingfang Wang
This network shows the impact of papers produced by Qingfang Wang. 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 Qingfang Wang. The network helps show where Qingfang Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qingfang Wang, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 63 | |
| 2 | 2015 | 43 | |
| 3 | 2022 | 40 | |
| 4 | 2016 | 34 | |
| 5 | 2017 | 23 | |
| 6 | 2017 | 23 | |
| 7 | 2017 | 20 | |
| 8 | 2005 | 18 | |
| 9 | 2023 | 7 | |
| 10 | 2015 | 7 | |
| 11 | 2022 | 5 | |
| 12 | 2015 | 4 | |
| 13 | 2016 | 4 | |
| 14 | 2015 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2015 | 3 | |
| 17 | 2024 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2018 | 2 | |
| 20 | 2022 | 2 |
About Qingfang Wang
Qingfang Wang is a scholar working on Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics, Organic Chemistry and Molecular Biology, having authored 27 papers that have together received 311 indexed citations. Recurring topics across this work include Nonlinear Partial Differential Equations (12 papers), Advanced Mathematical Physics Problems (9 papers), Advanced Mathematical Modeling in Engineering (9 papers), Nonlinear Photonic Systems (3 papers), Chemical Synthesis and Analysis (3 papers), Numerical methods in inverse problems (2 papers), Asymmetric Hydrogenation and Catalysis (2 papers) and Nonlinear Differential Equations Analysis (2 papers). The work is most often cited by research in Applied Mathematics (141 citations), Mathematical Physics (101 citations), Computational Theory and Mathematics (102 citations), Organic Chemistry (78 citations) and Inorganic Chemistry (25 citations). Qingfang Wang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Wei Shuai, Xiao Luo, Shuangjie Peng, Danhong Wang, Minghui Zhang, Zhi-Qiang Wang, Ruixin Zhang, Zi Ye, Bin Gao and Jiguo Ma. Their work appears in journals such as Journal of Differential Equations, Angewandte Chemie International Edition, Communications on Pure & Applied Analysis, Boundary Value Problems and Zeitschrift für angewandte Mathematik und Physik.
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.