Anhui Gu

35 papers receiving 632 citations

Peers

Anhui Gu
Comparison fields: 5 of 34
  • Computational Theory and Mathematics 559
  • Control and Systems Engineering 670
  • Mathematical Physics 188
  • Finance 142
  • Applied Mathematics 129
Replace Meihua Yang with:
Meihua Yang China
Yangrong Li China
Renhai Wang China
Xiaoming Fan China
Yejuan Wang China
David Cheban Moldova
Abdelaziz Rhandi Italy
Davor Dragičević Croatia
Hongbo Fu China
Onno van Gaans Netherlands
Anhui Gu relative to Meihua Yang China Meihua Yang's profile →
Citations per field
00.5×3.2×
Meihua Yang · 1×
Citations per year

Countries citing papers authored by Anhui Gu

Since Specialization
Citations

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

Fields of papers citing papers by Anhui Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anhui Gu. 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 Anhui Gu. The network helps show where Anhui Gu may publish in the future.

Co-authors

The 19 scholars most cited alongside Anhui Gu, 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 Anhui Gu Line = papers co-authored together Anhui Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014147
2 201894
3 201854
4 201651
5 201145
6 201842
7 201431
8 201424
9 201724
10 201920
11 202020
12 201718
13 201918
14 201617
15 201115
16 201311
17 20199
18 20138
19 20127
20 20216

About Anhui Gu

Anhui Gu is a scholar working on Control and Systems Engineering, Computational Theory and Mathematics, Computer Networks and Communications, Mathematical Physics and Finance, having authored 37 papers that have together received 708 indexed citations. Recurring topics across this work include Stability and Controllability of Differential Equations (31 papers), Advanced Mathematical Modeling in Engineering (24 papers), Nonlinear Dynamics and Pattern Formation (17 papers), Stochastic processes and financial applications (7 papers), Stochastic processes and statistical mechanics (5 papers), Nonlinear Differential Equations Analysis (5 papers), Quantum chaos and dynamical systems (3 papers) and Numerical methods in inverse problems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (559 citations), Control and Systems Engineering (670 citations), Mathematical Physics (188 citations), Finance (142 citations) and Applied Mathematics (129 citations). Anhui Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Bixiang Wang, Yangrong Li, Peter E. Kloeden, Zhaojuan Wang, Dingshi Li, Shengfan Zhou, Han Yang, Kening Lu, Boling Guo and Hongjun Xiang. Their work appears in journals such as Stochastics and Dynamics, Discrete and Continuous Dynamical Systems - B, International Journal of Bifurcation and Chaos, Communications in Nonlinear Science and Numerical Simulation and The Journal of Difference Equations and Applications.

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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