Guang-Shan Jiang

8.5k citations
8 papers · 6.4k indexed · 2 hit papers · h-index 7
Topics
Computational Fluid Dynamics and Aerodynamics (8 papers)Fluid Dynamics and Turbulent Flows (4 papers)Gas Dynamics and Kinetic Theory (4 papers)

In The Last Decade

Guang-Shan Jiang

8 papers receiving 6.0k citations

Hit Papers

Efficient Implementation of Weighted ENO Schemes19962026200620161996200010002.0k3.0k4.0k

Peers

Guang-Shan Jiang
Comparison fields: 5 of 104
  • Computational Mechanics 5.5k
  • Applied Mathematics 1.7k
  • Aerospace Engineering 1.0k
  • Numerical Analysis 671
  • Atmospheric Science 617
Replace Rémi Abgrall with:
Rémi Abgrall France
Marsha Berger United States
Paul R. Woodward United States
Burton Wendroff United States
Alexander Kurganov United States
Michael Dumbser Italy
Sigal Gottlieb United States
Sukumar Chakravarthy United States
R. F. Warming United States
D. I. Pullin United States
Guang-Shan Jiang relative to Rémi Abgrall France Rémi Abgrall's profile →
Citations per field
00.5×1.7×
Rémi Abgrall · 1×
Citations per year

Countries citing papers authored by Guang-Shan Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Guang-Shan Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guang-Shan Jiang. 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 Guang-Shan Jiang. The network helps show where Guang-Shan Jiang may publish in the future.

Co-authorship network of co-authors of Guang-Shan Jiang

This figure shows the co-authorship network connecting the top 25 collaborators of Guang-Shan Jiang. A scholar is included among the top collaborators of Guang-Shan Jiang 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 Guang-Shan Jiang. Guang-Shan Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
#WorkIndexed citations
1
Weighted ENO Schemes for Hamilton--Jacobi Equationsbreakdown →
869
2 219
3 276
4 12
5 146
6
Efficient Implementation of Weighted ENO Schemesbreakdown →
4764
7 119
8 3

About Guang-Shan Jiang

Guang-Shan Jiang is a scholar working on Computational Mechanics, Applied Mathematics and Atmospheric Science, having authored 8 papers that have together received 6.4k indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (8 papers), Fluid Dynamics and Turbulent Flows (4 papers) and Gas Dynamics and Kinetic Theory (4 papers). The work is most often cited by research in Computational Mechanics (5.5k citations), Applied Mathematics (1.7k citations) and Numerical Analysis (671 citations). Guang-Shan Jiang has collaborated with scholars based in United States, Israel and France. Frequent co-authors include Chi‐Wang Shu, Danping Peng, Eitan Tadmor, C. C. Wu, Stanley Osher, Doron Levy, Chin‐Teng Lin, Shih‐Hsien Yu and Jinghua Wang. Their work appears in journals such as Journal of Computational Physics, Mathematics of Computation and SIAM Journal on Numerical Analysis.

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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