Biao Yu

653 total citations
45 papers, 453 citations indexed

About

Biao Yu is a scholar working on Automotive Engineering, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Biao Yu has authored 45 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Automotive Engineering, 16 papers in Computer Vision and Pattern Recognition and 15 papers in Control and Systems Engineering. Recurrent topics in Biao Yu's work include Autonomous Vehicle Technology and Safety (15 papers), Robotic Path Planning Algorithms (8 papers) and Remote Sensing and LiDAR Applications (7 papers). Biao Yu is often cited by papers focused on Autonomous Vehicle Technology and Safety (15 papers), Robotic Path Planning Algorithms (8 papers) and Remote Sensing and LiDAR Applications (7 papers). Biao Yu collaborates with scholars based in China, Canada and United States. Biao Yu's co-authors include Huawei Liang, Pan Zhao, Rulin Huang, Deyi Xue, Shaobo Wang, Qinwen Yang, Theodor Freiheit, Simon S. Park, Zhiling Wang and Xiaokun Zheng and has published in prestigious journals such as International Journal of Hydrogen Energy, Energy Conversion and Management and Sensors.

In The Last Decade

Biao Yu

42 papers receiving 442 citations

Peers

Biao Yu
Comparison fields: 5 of 68
  • Automotive Engineering 208
  • Computer Vision and Pattern Recognition 133
  • Control and Systems Engineering 100
  • Electrical and Electronic Engineering 80
  • Environmental Engineering 75
Replace Yihuan Zhang with:
Yihuan Zhang China
Keonyup Chu South Korea
Yafu Zhou China
Isaac Segovia Ramírez Spain
Albert Yaw Appiah Ghana
Frimpong Kyeremeh Ghana
Paraskevi Zacharia Greece
Ben Beklisi Kwame Ayawli Ghana
Hongqing Chu China
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Yihuan Zhang China View profile →
Citations per field, relative to Biao Yu
Biao Yu · 1×
Citations per year, relative to Biao Yu
Biao Yu · 1×

Countries citing papers authored by Biao Yu

Since Specialization
Citations

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

Fields of papers citing papers by Biao Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biao Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Biao Yu. A scholar is included among the top collaborators of Biao 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 Biao Yu. Biao 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
# Work Indexed citations
1 0
2 0
3 1
4 0
5 1
6 5
7 7
8 2
9 4
10 3
11 2
12 3
13 45
14 15
15 19
16 23
17 1
18 33
19 60
20 22

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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