Bei Hu

165 papers receiving 2.6k citations

Peers

Bei Hu
Comparison fields: 5 of 140
  • Modeling and Simulation 836
  • Applied Mathematics 879
  • Computational Theory and Mathematics 1.2k
  • Mathematical Physics 458
  • Numerical Analysis 257
Replace Miguel A. Herrero with:
Miguel A. Herrero Spain
Vitaly A Volpert France
Lawrence Evans United States
Juan Soler Spain
Wenxian Shen United States
Kun Zhao United States
José M. Mazón Spain
Avner Friedman United States
Marco Di Francesco Italy
Emmanuel Trélat France
Bei Hu relative to Miguel A. Herrero Spain Miguel A. Herrero's profile →
Citations per field
00.5×2×3.4×
Miguel A. Herrero · 1×
Citations per year

Countries citing papers authored by Bei Hu

Since Specialization
Citations

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

Fields of papers citing papers by Bei Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994153
2 2011138
3 1998132
4 2002107
5 200699
6 200581
7 199478
8 200873
9 199565
10 200764
11 199660
12 201152
13 200247
14 201747
15 202445
16 199442
17 200640
18 201639
19 200537
20 200834

About Bei Hu

Bei Hu is a scholar working on Computational Theory and Mathematics, Modeling and Simulation, Applied Mathematics, Mathematical Physics and Control and Systems Engineering, having authored 174 papers that have together received 2.9k indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (68 papers), Mathematical Biology Tumor Growth (39 papers), Nonlinear Partial Differential Equations (34 papers), Stability and Controllability of Differential Equations (25 papers), Numerical methods in inverse problems (13 papers), Differential Equations and Numerical Methods (9 papers), Stochastic processes and financial applications (9 papers) and Advanced Mathematical Physics Problems (9 papers). The work is most often cited by research in Modeling and Simulation (836 citations), Applied Mathematics (879 citations), Computational Theory and Mathematics (1.2k citations), Mathematical Physics (458 citations) and Numerical Analysis (257 citations). Bei Hu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Avner Friedman, Hong‐Ming Yin, Zhengce Zhang, Jong‐Shenq Guo, Wenrui Hao, Qichang Duan, Andrew John Sommese, Pan Duan, Mingxuan Mao and Marco A. Fontelos. Their work appears in journals such as Journal of Differential Equations, SIAM Journal on Mathematical Analysis, Discrete and Continuous Dynamical Systems - B, Nonlinear Analysis and Journal of Mathematical Analysis 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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