Yan Guo

7.2k citations
134 papers · 4.2k indexed · 1 hit paper · h-index 37
Topics
Gas Dynamics and Kinetic Theory (60 papers)Navier-Stokes equation solutions (42 papers)Computational Fluid Dynamics and Aerodynamics (39 papers)
Journals
SHILAP Revista de lepidopterologíaJournal of Computational PhysicsGeophysical Research Letters
Partner nations
United StatesChinaFrance

In The Last Decade

Yan Guo

126 papers receiving 3.8k citations

Hit Papers

Decay of Dissipative Equations and Negative Sobolev Spaces2012202620162021201250100150200

Peers

Yan Guo
Comparison fields: 5 of 80
  • Applied Mathematics 3.5k
  • Computational Mechanics 2.0k
  • Mathematical Physics 1.8k
  • Atomic and Molecular Physics, and Optics 491
  • Statistical and Nonlinear Physics 438
Replace François Golse with:
François Golse France
Tai-Ping Liu United States
Denis Serre France
Claude Bardos France
J. Thomas Beale United States
Carlo Marchioro Italy
Ronald J. DiPerna United States
Kevin Zumbrun United States
Laurent Desvillettes France
A. V. Bobylev Russia
Yan Guo relative to François Golse France François Golse's profile →
Citations per field
00.5×2.7×
François Golse · 1×
Citations per year

Countries citing papers authored by Yan Guo

Since Specialization
Citations

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

Fields of papers citing papers by Yan Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Guo. A scholar is included among the top collaborators of Yan Guo 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 Yan Guo. Yan Guo 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 8
2 0
3 0
4 9
5 5
6 15
7 45
8 11
9 5
10 45
11 21
12 5
13 1
14 0
15
A note on the Prandtl layers
1
16 20
17 31
18 102
19 24
20
A basic coordinate transform based method for establishment of kinematics equations
0

About Yan Guo

Yan Guo is a scholar working on Applied Mathematics, Mathematical Physics and Computational Mechanics, having authored 134 papers that have together received 4.2k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (60 papers), Navier-Stokes equation solutions (42 papers) and Computational Fluid Dynamics and Aerodynamics (39 papers). The work is most often cited by research in Applied Mathematics (3.5k citations), Mathematical Physics (1.8k citations) and Computational Mechanics (2.0k citations). Yan Guo has collaborated with scholars based in United States, China and France. Frequent co-authors include Ian Tice, Walter A. Strauss, Robert M. Strain, Yanjin Wang, Toan T. Nguyen, Gerhard Rein, Benoît Pausader, Hyung Ju Hwang, Yufeng Shi and Juhi Jang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Computational Physics and Geophysical Research Letters.

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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