Xiao-Biao Lin

44 papers receiving 1.0k citations

Peers

Xiao-Biao Lin
Comparison fields: 5 of 62
  • Numerical Analysis 178
  • Statistical and Nonlinear Physics 307
  • Mathematical Physics 194
  • Applied Mathematics 214
  • Geometry and Topology 160
Replace Patrick J. Rabier with:
Patrick J. Rabier United States
Michelle Schatzman France
Tassilo Küpper Germany
А. Д. Мышкис Russia
Bryan P. Rynne United Kingdom
Denis Blackmore United States
Gianni Arioli Italy
Salvatore Rionero Italy
N. Rouche Belgium
Xue Yang China
Xiao-Biao Lin relative to Patrick J. Rabier United States Patrick J. Rabier's profile →
Citations per field
00.5×1.6×
Patrick J. Rabier · 1×
Citations per year

Countries citing papers authored by Xiao-Biao Lin

Since Specialization
Citations

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

Fields of papers citing papers by Xiao-Biao Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao-Biao Lin. 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 Xiao-Biao Lin. The network helps show where Xiao-Biao Lin may publish in the future.

Co-authors

The 20 scholars most cited alongside Xiao-Biao Lin, 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 Xiao-Biao Lin Line = papers co-authored together Xiao-Biao Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001144
2 1990135
3 1988124
4 199196
5 198671
6 200159
7 200156
8 199048
9 200536
10 198636
11 198933
12 198931
13 198931
14 199028
15
Traveling wave solutions for a predator-prey system with Sigmoidal response function
201624
16 200318
17 198816
18 200115
19 200514
20 198612

About Xiao-Biao Lin

Xiao-Biao Lin is a scholar working on Applied Mathematics, Statistical and Nonlinear Physics, Control and Systems Engineering, Mathematical Physics and Computational Theory and Mathematics, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (15 papers), Quantum chaos and dynamical systems (11 papers), Navier-Stokes equation solutions (11 papers), Advanced Mathematical Modeling in Engineering (10 papers), Differential Equations and Numerical Methods (9 papers), Advanced Differential Equations and Dynamical Systems (8 papers), Nonlinear Differential Equations Analysis (7 papers) and Nonlinear Dynamics and Pattern Formation (6 papers). The work is most often cited by research in Numerical Analysis (178 citations), Statistical and Nonlinear Physics (307 citations), Mathematical Physics (194 citations), Applied Mathematics (214 citations) and Geometry and Topology (160 citations). Xiao-Biao Lin has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Fuh‐Gwo Yuan, Shui-Nee Chow, Jack K. Hale, Geneviève Raugel, Kening Lu, Kenneth J. Palmer, Stephen Schecter, John Mallet‐Paret, Peixuan Weng and Chufen Wu. Their work appears in journals such as Journal of Differential Equations, Journal of Dynamics and Differential Equations, SIAM Journal on Mathematical Analysis, Dynamics of Partial Differential Equations and Mathematics of Computation.

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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