Guo‐Fu Yu

59 papers receiving 543 citations

Peers

Guo‐Fu Yu
Comparison fields: 5 of 43
  • Statistical and Nonlinear Physics 520
  • Modeling and Simulation 114
  • Geometry and Topology 161
  • Mathematical Physics 82
  • Numerical Analysis 45
Replace Ken-ichi Maruno with:
Ken-ichi Maruno Japan
Aiping Deng China
Jian‐bing Zhang China
Solomon Manukure United States
Hai‐qiong Zhao China
Bo Xue China
Song‐lin Zhao China
Lihua Wu China
Yehui Huang China
Tie-Cheng Xia China
Guo‐Fu Yu relative to Ken-ichi Maruno Japan Ken-ichi Maruno's profile →
Citations per field
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Ken-ichi Maruno · 1×
Citations per year

Countries citing papers authored by Guo‐Fu Yu

Since Specialization
Citations

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

Fields of papers citing papers by Guo‐Fu Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200483
2 200833
3 201626
4 200624
5 201822
6 201321
7 201321
8 202221
9 201520
10 201619
11 201618
12 201817
13 200615
14 201714
15 201513
16 201513
17 201412
18 201611
19 200711
20 20209

About Guo‐Fu Yu

Guo‐Fu Yu is a scholar working on Statistical and Nonlinear Physics, Geometry and Topology, Modeling and Simulation, Mathematical Physics and Numerical Analysis, having authored 63 papers that have together received 552 indexed citations. Recurring topics across this work include Nonlinear Waves and Solitons (57 papers), Nonlinear Photonic Systems (43 papers), Algebraic structures and combinatorial models (22 papers), Fractional Differential Equations Solutions (9 papers), Numerical methods for differential equations (7 papers), Molecular spectroscopy and chirality (6 papers), Advanced Mathematical Physics Problems (6 papers) and Mathematical functions and polynomials (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (520 citations), Modeling and Simulation (114 citations), Geometry and Topology (161 citations), Mathematical Physics (82 citations) and Numerical Analysis (45 citations). Guo‐Fu Yu has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Xing‐Biao Hu, Luc Vinet, Hon-Wah Tam, Chunxia Li, Hai‐qiong Zhao, Zuo-Nong Zhu, Sen‐Yue Lou, Xu Jian, Dong Lao and Shi‐Hao Li. Their work appears in journals such as Communications in Nonlinear Science and Numerical Simulation, Applied Mathematics Letters, Journal of Mathematical Analysis and Applications, The Journal of Difference Equations and Applications and Studies in Applied Mathematics.

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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