Robin Ming Chen

880 citations
41 papers · 546 · h-index 14

Impact in

Papers in

Robin Ming Chen

40 papers receiving 518 citations

Peers

Robin Ming Chen
Comparison fields: 5 of 35
  • Statistical and Nonlinear Physics 409
  • Mathematical Physics 297
  • Geometry and Topology 136
  • Applied Mathematics 125
  • Modeling and Simulation 26
Replace Yi A. Li with:
Yi A. Li United States
Martin Staley United States
Hans Lundmark Sweden
Vladimir Rubtsov France
Fabio Pusateri United States
Boris Buffoni Switzerland
Ángel Castro Spain
Claude Zuily France
Taoufik Hmidi France
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Robin Ming Chen relative to Yi A. Li United States Yi A. Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Robin Ming Chen

Since Specialization
Citations

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

Fields of papers citing papers by Robin Ming Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robin Ming Chen. 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 Robin Ming Chen. The network helps show where Robin Ming Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Robin Ming Chen, 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 Robin Ming Chen Line = papers co-authored together Robin Ming Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 201660
3 201833
4 201229
5 201129
6 200625
7 202223
8 201322
9 201721
10 201721
11 201620
12 202118
13 201818
14 200916
15 201813
16 201913
17 200812
18 200811
19 202210
20 201610

About Robin Ming Chen

Robin Ming Chen is a scholar working on Mathematical Physics, Statistical and Nonlinear Physics, Applied Mathematics, Computational Mechanics and Oceanography, having authored 41 papers that have together received 546 indexed citations. Recurring topics across this work include Advanced Mathematical Physics Problems (25 papers), Nonlinear Waves and Solitons (19 papers), Navier-Stokes equation solutions (15 papers), Nonlinear Photonic Systems (12 papers), Ocean Waves and Remote Sensing (6 papers), Computational Fluid Dynamics and Aerodynamics (5 papers), Advanced Mathematical Modeling in Engineering (4 papers) and Fluid Dynamics and Turbulent Flows (4 papers). The work is most often cited by research in Statistical and Nonlinear Physics (409 citations), Mathematical Physics (297 citations), Geometry and Topology (136 citations), Applied Mathematics (125 citations) and Modeling and Simulation (26 citations). Robin Ming Chen has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Yue Liu, Changzheng Qu, Dehua Wang, Yue Liu, Shuanghu Zhang, Fei Guo, Yue Liu, Daniel Spirn, Yue Liu and Yue Liu. Their work appears in journals such as Mathematische Annalen, Journal of Mathematical Fluid Mechanics, Archive for Rational Mechanics and Analysis, Advances in Mathematics and Journal of Functional 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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