Shihe Xu

505 citations
48 papers · 351 indexed · h-index 10
Topics
Mathematical Biology Tumor Growth (34 papers)Mathematical and Theoretical Epidemiology and Ecology Models (26 papers)Advanced Mathematical Modeling in Engineering (12 papers)
Partner nations
ChinaNetherlandsNorway

In The Last Decade

Shihe Xu

42 papers receiving 323 citations

Peers

Shihe Xu
Comparison fields: 5 of 72
  • Modeling and Simulation 209
  • Computational Theory and Mathematics 105
  • Public Health, Environmental and Occupational Health 103
  • Molecular Biology 78
  • Cell Biology 66
Replace Robert Bartôszyński with:
Robert Bartôszyński United States
Wolfgang Bühler Germany
Vinay G. Vaidya India
Paolo Guasoni United States
Hafiz Abid Mahmood Malik Pakistan
Yichuan Zhao United States
Songjian Lu United States
Malay Bhattacharyya India
Steve McKeever United Kingdom
Theodore Papamarkou United Kingdom
Shihe Xu relative to Robert Bartôszyński United States Robert Bartôszyński's profile →
Citations per field
00.5×10×16.5×
Robert Bartôszyński · 1×
Citations per year

Countries citing papers authored by Shihe Xu

Since Specialization
Citations

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

Fields of papers citing papers by Shihe Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shihe Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Shihe Xu. A scholar is included among the top collaborators of Shihe Xu 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 Shihe Xu. Shihe Xu 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
#WorkIndexed citations
1 3
2 4
3 1
4 3
5 1
6 33
7 9
8 3
9 1
10 5
11 4
12 6
13 5
14 16
15 45
16 1
17 1
18 15
19 12
20 49

About Shihe Xu

Shihe Xu is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Computational Theory and Mathematics, having authored 48 papers that have together received 351 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (34 papers), Mathematical and Theoretical Epidemiology and Ecology Models (26 papers) and Advanced Mathematical Modeling in Engineering (12 papers). The work is most often cited by research in Modeling and Simulation (209 citations), Computational Theory and Mathematics (105 citations) and Applied Mathematics (49 citations). Shihe Xu has collaborated with scholars based in China, Netherlands and Norway. Frequent co-authors include Shangbin Cui, Fangwei Zhang, Hercules Haralambides, Kang Chen, Fangwei Zhang, Tiebang Kang, Ming Liu, J-P Yun, Zizhen Feng and Dan Su. Their work appears in journals such as Oncogene, IEEE Access 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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