Bei Hu

3.7k total citations
164 papers, 2.5k citations indexed

About

Bei Hu is a scholar working on Computational Theory and Mathematics, Applied Mathematics and Modeling and Simulation. According to data from OpenAlex, Bei Hu has authored 164 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Computational Theory and Mathematics, 39 papers in Applied Mathematics and 38 papers in Modeling and Simulation. Recurrent topics in Bei Hu's work include Advanced Mathematical Modeling in Engineering (66 papers), Mathematical Biology Tumor Growth (38 papers) and Nonlinear Partial Differential Equations (34 papers). Bei Hu is often cited by papers focused on Advanced Mathematical Modeling in Engineering (66 papers), Mathematical Biology Tumor Growth (38 papers) and Nonlinear Partial Differential Equations (34 papers). Bei Hu collaborates with scholars based in United States, China and Taiwan. Bei Hu's co-authors include Avner Friedman, Hong‐Ming Yin, Jong‐Shenq Guo, Zhengce Zhang, Wenrui Hao, Pan Duan, Qichang Duan, Mingxuan Mao, Marco A. Fontelos and Andrew J. Sommese and has published in prestigious journals such as Molecular and Cellular Biology, IEEE Transactions on Automatic Control and Scientific Reports.

In The Last Decade

Bei Hu

157 papers receiving 2.3k citations

Peers

Bei Hu
Comparison fields: 5 of 136
  • Computational Theory and Mathematics 1.1k
  • Applied Mathematics 843
  • Modeling and Simulation 738
  • Control and Systems Engineering 513
  • Mathematical Physics 441
Replace Stephan Luckhaus with:
Stephan Luckhaus Germany
Willi Jäger Germany
Miguel A. Herrero Spain
Chunlai Mu China
Yi Li United States
Juan Soler Spain
Wenxian Shen United States
José M. Mazón Spain
Chris Budd United Kingdom
Emmanuel Trélat France
Stephan Luckhaus Germany View profile →
Citations per field, relative to Bei Hu
Bei Hu · 1×
Citations per year, relative to Bei Hu
Bei Hu · 1×

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-authorship network of co-authors of Bei Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Bei Hu. A scholar is included among the top collaborators of Bei Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bei Hu. Bei Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 4
2 30
3 3
4 0
5 1
6 2
7 4
8 4
9 1
10 4
11 10
12 19
13 8
14 4
15 5
16 5
17 1
18 8
19 151
20
Nondegeneracy and Single-point-blowup for Solution of the Heat Equation with a Nonlinear Boundary Condition
18

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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