Xing‐Bin Pan

1.5k citations
78 papers · 1.0k indexed · h-index 19

Xing‐Bin Pan

76 papers receiving 910 citations

Peers

Xing‐Bin Pan
Comparison fields: 5 of 50
  • Mathematical Physics 452
  • Computational Theory and Mathematics 590
  • Applied Mathematics 361
  • Condensed Matter Physics 228
  • Numerical Analysis 88
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Stan Alama Canada
Lia Bronsard Canada
Petru Mironescu France
Gilles Carbou France
Giulio Schimperna Italy
Fang-Hua Lin United States
Radu Ignat France
José M. Arrieta Spain
Michael Solomyak Israel
Marco Marletta United Kingdom
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Citations per year

Countries citing papers authored by Xing‐Bin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Xing‐Bin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xing‐Bin Pan. 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 Xing‐Bin Pan. The network helps show where Xing‐Bin Pan may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xing‐Bin Pan, 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 Xing‐Bin Pan Line = papers co-authored together Xing‐Bin Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20231
3 20230
4 20206
5 20204
6 20196
7 201610
8 20125
9
A three-stage operator-splitting/finite element method for the numerical simulation of liquid crystal flow
20093
10 200810
11 20087
12 200835
13 200214
14 20016
15 200051
16 199612
17 19963
18 199513
19 199315
20 19913

About Xing‐Bin Pan

Xing‐Bin Pan is a scholar working on Mathematical Physics, Applied Mathematics, Computational Theory and Mathematics, Condensed Matter Physics and Numerical Analysis, having authored 78 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (40 papers), Nonlinear Partial Differential Equations (26 papers), Theoretical and Computational Physics (17 papers), Spectral Theory in Mathematical Physics (16 papers), Liquid Crystal Research Advancements (14 papers), Advanced Numerical Methods in Computational Mathematics (12 papers), Physics of Superconductivity and Magnetism (12 papers) and Advanced Mathematical Physics Problems (10 papers). The work is most often cited by research in Mathematical Physics (452 citations), Computational Theory and Mathematics (590 citations), Applied Mathematics (361 citations), Condensed Matter Physics (228 citations) and Numerical Analysis (88 citations). Xing‐Bin Pan has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Kening Lu, Bernard Helffer, Wei-Ming Ni, Izumi Takagi, Russell Johnson, Yingfei Yi, Peter W. Bates, Fanghua Lin, Xuefeng Wang and Yaniv Almog. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Mathematical Analysis, Communications in Mathematical Physics, Calculus of Variations and Partial Differential Equations 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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