Canqian Yang

481 total citations
20 papers, 221 citations indexed

About

Canqian Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Canqian Yang has authored 20 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Automotive Engineering. Recurrent topics in Canqian Yang's work include Traffic control and management (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic Prediction and Management Techniques (4 papers). Canqian Yang is often cited by papers focused on Traffic control and management (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Traffic Prediction and Management Techniques (4 papers). Canqian Yang collaborates with scholars based in China, United States and Denmark. Canqian Yang's co-authors include H. Søeberg, Jiancheng Yang, Jingwei Xu, Bingbing Ni, Ying Chen, Meiguang Jin, Yi Xu, M. Kümmel, Xu Jia and Hongteng Xu and has published in prestigious journals such as Chemical Engineering Science, Accident Analysis & Prevention and Neurocomputing.

In The Last Decade

Canqian Yang

19 papers receiving 204 citations

Peers

Canqian Yang
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 82
  • Biomedical Engineering 52
  • Artificial Intelligence 48
  • Radiology, Nuclear Medicine and Imaging 42
  • Electrical and Electronic Engineering 36
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Citations per field, relative to Canqian Yang
Canqian Yang · 1×
Citations per year, relative to Canqian Yang
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Countries citing papers authored by Canqian Yang

Since Specialization
Citations

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

Fields of papers citing papers by Canqian Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Canqian Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Canqian Yang. A scholar is included among the top collaborators of Canqian Yang 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 Canqian Yang. Canqian Yang 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 3
3 31
4 2
5 2
6 14
7 56
8 8
9
Reinventing 2D Convolutions for 3D Medical Images
7
10 11
11
Why Drivers Do What They Do
1
12 4
13 3
14 6
15 4
16
Understanding Transit Accidents Using the National Transit Database and the Role of Transit Intelligent Vehicle Initiative Technology in Reducing Accidents
4
17
2003 Status Report on Transit Intelligent Vehicle Initiative Studies
2
18 45
19 7
20 11

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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