Peicheng Shi

729 total citations
69 papers, 375 citations indexed

About

Peicheng Shi is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Peicheng Shi has authored 69 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Automotive Engineering, 25 papers in Computer Vision and Pattern Recognition and 16 papers in Control and Systems Engineering. Recurrent topics in Peicheng Shi's work include Advanced Neural Network Applications (20 papers), Vehicle Dynamics and Control Systems (15 papers) and Autonomous Vehicle Technology and Safety (11 papers). Peicheng Shi is often cited by papers focused on Advanced Neural Network Applications (20 papers), Vehicle Dynamics and Control Systems (15 papers) and Autonomous Vehicle Technology and Safety (11 papers). Peicheng Shi collaborates with scholars based in China, United States and United Kingdom. Peicheng Shi's co-authors include Ping Xiao, Linfeng Zhao, Xuan Ni, Long Li, Yaming Liu, Han Hu, Heng Qi, Yong Li, Zhi-Qiang Liu and Kunming Zheng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Peicheng Shi

56 papers receiving 366 citations

Peers

Peicheng Shi
Comparison fields: 5 of 55
  • Automotive Engineering 123
  • Computer Vision and Pattern Recognition 115
  • Control and Systems Engineering 93
  • Mechanical Engineering 87
  • Electrical and Electronic Engineering 71
Replace Siheon Jeong with:
Siheon Jeong South Korea
Pengpeng Sun China
Haibo Zhou China
Matthew Doude United States
Alessandro Zanarini Italy
Jianmin Duan China
Rongben Wang China
Mohd Zamzuri Ab Rashid Malaysia
Yunwang Li China
Xinli Xu China
Siheon Jeong South Korea View profile →
Citations per field, relative to Peicheng Shi
Peicheng Shi · 1×
Citations per year, relative to Peicheng Shi
Peicheng Shi · 1×

Countries citing papers authored by Peicheng Shi

Since Specialization
Citations

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

Fields of papers citing papers by Peicheng Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peicheng Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Peicheng Shi. A scholar is included among the top collaborators of Peicheng Shi 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 Peicheng Shi. Peicheng Shi 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 13
2 0
3 0
4 1
5 0
6 6
7 4
8 2
9 7
10 8
11 3
12 3
13 10
14 15
15 1
16 3
17 0
18 15
19
The Vibration Evaluating and Decoupling Optimization of a Powertrain Mounts System
1
20
Simulation research on multi-purpose vehicle handling stability based on ADAMS
0

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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