Kun Zhao

2.4k citations
76 papers · 1.6k indexed · 1 hit paper · h-index 19
Topics
Mathematical Biology Tumor Growth (31 papers)Navier-Stokes equation solutions (22 papers)Advanced Mathematical Modeling in Engineering (14 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Transactions on Antennas and Propagation

In The Last Decade

Kun Zhao

70 papers receiving 1.5k citations

Hit Papers

The Adaptive Cross Approximation Algorithm for Accelerate...20052026201220192005100200300400

Peers

Kun Zhao
Comparison fields: 5 of 105
  • Atomic and Molecular Physics, and Optics 486
  • Modeling and Simulation 482
  • Electrical and Electronic Engineering 445
  • Applied Mathematics 435
  • Mathematical Physics 368
Replace H. Gajewski with:
H. Gajewski Germany
Hailiang Liu United States
F. Poupaud France
T. F. Nonnenmacher Germany
Ben‐yu Guo China
Gerhard Dziuk Germany
M. Ganesh United States
Reinhard Illner Canada
Min Tang China
Konrad Gröger Germany
Kun Zhao relative to H. Gajewski Germany H. Gajewski's profile →
Citations per field
00.5×6.2×
H. Gajewski · 1×
Citations per year

Countries citing papers authored by Kun Zhao

Since Specialization
Citations

This map shows the geographic impact of Kun Zhao'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 Kun Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Zhao more than expected).

Fields of papers citing papers by Kun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun Zhao. 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 Kun Zhao. The network helps show where Kun Zhao may publish in the future.

Co-authorship network of co-authors of Kun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Kun Zhao. A scholar is included among the top collaborators of Kun Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kun Zhao. Kun Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 3
5 1
6 12
7 5
8 12
9 16
10 3
11 37
12 65
13 4
14 22
15 4
16 18
17
Large time behavior of a Cahn-Hilliard-Boussinesq system on a bounded domain.
2
18 3
19
On the Isothermal Compressible Euler Equations with Frictional Damping
4
20 51

About Kun Zhao

Kun Zhao is a scholar working on Modeling and Simulation, Applied Mathematics and Mathematical Physics, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (31 papers), Navier-Stokes equation solutions (22 papers) and Advanced Mathematical Modeling in Engineering (14 papers). The work is most often cited by research in Modeling and Simulation (482 citations), Applied Mathematics (435 citations) and Mathematical Physics (368 citations). Kun Zhao has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include J.-F. Lee, Marinos N. Vouvakis, Ronghua Pan, Tong Li, Zhi‐An Wang, Ming‐Jun Lai, Xiaoming Zheng, Huicong Li, Jiahong Wu and Dong Li. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Antennas and Propagation.

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.

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