Ning Ju
Impact in
- Applied Mathematics top 1%
- Navier-Stokes equation solutions
- Nonlinear Partial Differential Equations
- Geometric Analysis and Curvature Flows
- Mathematical Physics top 2%
- Advanced Mathematical Physics Problems
Papers in
-
- Navier-Stokes equation solutions 16
-
- Advanced Mathematical Physics Problems 12
- Co-authors
- Stephen WigginsDes SmallHsiang‐Wei LuAndrea L. BertozziAnran ZhengXiaoyang PangLing WangXin Si
- Journals
- Indiana University Mathematics Journal (4 papers)Discrete and Continuous Dynamical Systems (3 papers)Nonlinearity (3 papers)Communications in Mathematical Physics (2 papers)Journal of Mathematical Fluid Mechanics (2 papers)
- Partner nations
- United StatesChinaMalaysia
In The Last Decade
Ning Ju
34 papers receiving 743 citations
Peers
Comparison fields: 5 of 88
- Applied Mathematics 503
- Mathematical Physics 376
- Control and Systems Engineering 321
- Computational Theory and Mathematics 158
- Computational Mechanics 151
Countries citing papers authored by Ning Ju
This map shows the geographic impact of Ning Ju'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 Ning Ju with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Ju more than expected).
Fields of papers citing papers by Ning Ju
This network shows the impact of papers produced by Ning Ju. 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 Ning Ju. The network helps show where Ning Ju may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ning Ju, 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 | 1 | |
| 3 | 2024 | 15 | |
| 4 | 2024 | 26 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 4 | |
| 8 | 2022 | 17 | |
| 9 | 2022 | 2 | |
| 10 | 2022 | 21 | |
| 11 | 2016 | 19 | |
| 12 | Analysis of Hospital Information System | 2008 | 1 |
| 13 | 2007 | 29 | |
| 14 | 2006 | 13 | |
| 15 | 2005 | 12 | |
| 16 | 2005 | 25 | |
| 17 | 2003 | 31 | |
| 18 | 2001 | 29 | |
| 19 | 2001 | 18 | |
| 20 | 1993 | 1 |
About Ning Ju
Ning Ju is a scholar working on Applied Mathematics, Mathematical Physics, Control and Systems Engineering, Aging and Numerical Analysis, having authored 36 papers that have together received 814 indexed citations. Recurring topics across this work include Navier-Stokes equation solutions (16 papers), Stability and Controllability of Differential Equations (14 papers), Advanced Mathematical Physics Problems (12 papers), Proteins in Food Systems (4 papers), Food Chemistry and Fat Analysis (3 papers), Advanced Numerical Methods in Computational Mathematics (2 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Probiotics and Fermented Foods (2 papers). The work is most often cited by research in Applied Mathematics (503 citations), Mathematical Physics (376 citations), Control and Systems Engineering (321 citations), Computational Theory and Mathematics (158 citations) and Computational Mechanics (151 citations). Ning Ju has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Stephen Wiggins, Des Small, Hsiang‐Wei Lu, Andrea L. Bertozzi, Anran Zheng, Xiaoyang Pang, Ling Wang, Xin Si, Yumeng Zhang and Jiang Chang. Their work appears in journals such as Indiana University Mathematics Journal, Discrete and Continuous Dynamical Systems, Nonlinearity, Communications in Mathematical Physics and Journal of Mathematical Fluid Mechanics.
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.