Shaoyi Bei

908 total citations
73 papers, 660 citations indexed

About

Shaoyi Bei is a scholar working on Automotive Engineering, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Shaoyi Bei has authored 73 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Automotive Engineering, 26 papers in Mechanical Engineering and 24 papers in Electrical and Electronic Engineering. Recurrent topics in Shaoyi Bei's work include Vehicle Dynamics and Control Systems (28 papers), Mechanical Engineering and Vibrations Research (13 papers) and Fuel Cells and Related Materials (13 papers). Shaoyi Bei is often cited by papers focused on Vehicle Dynamics and Control Systems (28 papers), Mechanical Engineering and Vibrations Research (13 papers) and Fuel Cells and Related Materials (13 papers). Shaoyi Bei collaborates with scholars based in China, Hong Kong and United Kingdom. Shaoyi Bei's co-authors include Bo Li, Li Li, Lanchun Zhang, Qiang Xu, Keqing Zheng, Xiaoqiang Sun, Long Chen, Hongkang Wang, Yingfeng Cai and Xinyu Li and has published in prestigious journals such as Electrochimica Acta, Energy Conversion and Management and Energy.

In The Last Decade

Shaoyi Bei

65 papers receiving 632 citations

Peers

Shaoyi Bei
Comparison fields: 5 of 51
  • Automotive Engineering 483
  • Electrical and Electronic Engineering 272
  • Mechanical Engineering 188
  • Control and Systems Engineering 119
  • Civil and Structural Engineering 92
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Citations per field, relative to Shaoyi Bei
Shaoyi Bei · 1×
Citations per year, relative to Shaoyi Bei
Shaoyi Bei · 1×

Countries citing papers authored by Shaoyi Bei

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyi Bei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyi Bei

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyi Bei. A scholar is included among the top collaborators of Shaoyi Bei 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 Shaoyi Bei. Shaoyi Bei 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 0
2 0
3 8
4 13
5 2
6 18
7 6
8 4
9 18
10 3
11 5
12 3
13 7
14 4
15 14
16 7
17 4
18
Hierarchical stochastic gradient identification for non-uniformly sampling Hammerstein systems with colored noise.
5
19
Pavement roughness identification research in time domain based on neural network
3
20
Reverse assistance control and tests of electric vehicle EPS system under anti-wind interference condition
1

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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