Ning Ju

1.3k citations
36 papers · 846 · h-index 19

Impact in

    • Navier-Stokes equation solutions
    • Nonlinear Partial Differential Equations
    • Geometric Analysis and Curvature Flows
    • Advanced Mathematical Physics Problems

Papers in

Ning Ju

36 papers receiving 774 citations

Peers

Ning Ju
Comparison fields: 5 of 89
  • Applied Mathematics 515
  • Mathematical Physics 388
  • Control and Systems Engineering 322
  • Computational Theory and Mathematics 160
  • Computational Mechanics 152
Replace Nicolás Lerner with:
Nicolás Lerner France
Thomas Runst Germany
Mark Vishik Russia
András Bátkai Hungary
Alexander Borichev France
Chunyou Sun China
Ludovic Rifford France
Weike Wang China
Petri Juutinen Finland
Manuel González-Burgos Spain
Ning Ju relative to Nicolás Lerner France Nicolás Lerner's profile →
Citations per field
00.5×10×
Nicolás Lerner · 1×
Citations per year

Countries citing papers authored by Ning Ju

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Ning Ju Line = papers co-authored together Ning Ju links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004153
2 2005141
3 200775
4 200035
5 200331
6 200131
7 200731
8 201031
9 202430
10 200228
11 200525
12 202224
13 200021
14 202221
15 202220
16 201620
17 202418
18 200518
19 200118
20 201714

About Ning Ju

Ning Ju is a scholar working on Applied Mathematics, Control and Systems Engineering, Mathematical Physics, Computational Mechanics and Food Science, having authored 36 papers that have together received 846 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), Fermentation and Sensory Analysis (2 papers), Advanced Mathematical Modeling in Engineering (2 papers) and Meat and Animal Product Quality (2 papers). The work is most often cited by research in Applied Mathematics (515 citations), Mathematical Physics (388 citations), Control and Systems Engineering (322 citations), Computational Theory and Mathematics (160 citations) and Computational Mechanics (152 citations). Ning Ju has collaborated with scholars based in United States, China and Malaysia. Frequent co-authors include Stephen Wiggins, Des Small, Andrea L. Bertozzi, Hsiang‐Wei Lu, Chao-Kun Wei, Anran Zheng, Ling Wang, Xiaoyang Pang, Yumeng Zhang and Shuwen Zhang. Their work appears in journals such as Indiana University Mathematics Journal, Nonlinearity, Discrete and Continuous Dynamical Systems, Journal of Mathematical Fluid Mechanics and Communications in Mathematical 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.

Explore authors with similar magnitude of impact