Huilong Yu

1.0k citations
39 papers · 767 indexed · h-index 15
Topics
Autonomous Vehicle Technology and Safety (17 papers)Electric and Hybrid Vehicle Technologies (12 papers)Vehicle Dynamics and Control Systems (11 papers)
Partner nations
ChinaCanadaItaly

In The Last Decade

Huilong Yu

34 papers receiving 749 citations

Peers

Huilong Yu
Comparison fields: 5 of 58
  • Automotive Engineering 623
  • Electrical and Electronic Engineering 344
  • Control and Systems Engineering 223
  • Computer Vision and Pattern Recognition 89
  • Mechanical Engineering 58
Replace Chuanxue Song with:
Chuanxue Song China
Ying Tian China
Denise Rizzo United States
Masoud Masih‐Tehrani Iran
Sarvar Hussain Nengroo South Korea
Thanh-Son Dao Canada
Kun Xu China
Guoqing Xu China
Ningyuan Guo China
Huilong Yu relative to Chuanxue Song China Chuanxue Song's profile →
Citations per field
00.5×3.0×
Chuanxue Song · 1×
Citations per year

Countries citing papers authored by Huilong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Huilong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huilong Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Huilong Yu. A scholar is included among the top collaborators of Huilong Yu 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 Huilong Yu. Huilong Yu 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 0
2 1
3 0
4 3
5 2
6 0
7 17
8 6
9 8
10 28
11 2
12 50
13 14
14 28
15 24
16 50
17 147
18 14
19 26
20
Error Detection and Correction Algorithm for RS Code Based on Storage with Flash Memory
0

About Huilong Yu

Huilong Yu is a scholar working on Automotive Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 767 indexed citations. Recurring topics across this work include Autonomous Vehicle Technology and Safety (17 papers), Electric and Hybrid Vehicle Technologies (12 papers) and Vehicle Dynamics and Control Systems (11 papers). The work is most often cited by research in Automotive Engineering (623 citations), Control and Systems Engineering (223 citations) and Electrical and Electronic Engineering (344 citations). Huilong Yu has collaborated with scholars based in China, Canada and Italy. Frequent co-authors include Xiao Hu, Teng Liu, Xiaolin Tang, Federico Cheli, Hong Wang, Dongpu Cao, Junqiang Xi, Davide Tarsitano, Yuan Zou and Hongyan Guo. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Access and Energy.

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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