Xuanyao Chen

474 citations
4 papers · 288 indexed · 1 hit paper · h-index 4
Topics
Advanced Neural Network Applications (3 papers)Video Surveillance and Tracking Methods (2 papers)Autonomous Vehicle Technology and Safety (1 paper)
Journals
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Partner nations
ChinaUnited States

In The Last Decade

Xuanyao Chen

4 papers receiving 284 citations

Hit Papers

FUTR3D: A Unified Sensor Fusion Framework for 3D Detection2023202620242025202350100150

Peers

Xuanyao Chen
Comparison fields: 5 of 41
  • Computer Vision and Pattern Recognition 198
  • Aerospace Engineering 113
  • Automotive Engineering 60
  • Artificial Intelligence 33
  • Industrial and Manufacturing Engineering 27
Replace Guoxin Zhang with:
Guoxin Zhang China
Hang Zhao China
Lue Fan China
Zebang Yang China
Zhengxu Yu China
Ben Caine United States
Yurong You United States
Yifeng Lu China
Min-Jian Zhao China
Xuanyao Chen relative to Guoxin Zhang China Guoxin Zhang's profile →
Citations per field
00.5×1.5×
Guoxin Zhang · 1×
Citations per year

Countries citing papers authored by Xuanyao Chen

Since Specialization
Citations

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

Fields of papers citing papers by Xuanyao Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xuanyao Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Xuanyao Chen. A scholar is included among the top collaborators of Xuanyao Chen 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 Xuanyao Chen. Xuanyao Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
#WorkIndexed citations
1 43
2
FUTR3D: A Unified Sensor Fusion Framework for 3D Detectionbreakdown →
173
3 25
4 47

About Xuanyao Chen

Xuanyao Chen is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence, having authored 4 papers that have together received 288 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Video Surveillance and Tracking Methods (2 papers) and Autonomous Vehicle Technology and Safety (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (198 citations), Automotive Engineering (60 citations) and Aerospace Engineering (113 citations). Xuanyao Chen has collaborated with scholars based in China and United States. Frequent co-authors include Tianyuan Zhang, Yilun Wang, Hang Zhao, Yue Wang, Yue Wang, Junru Gu, Hang Zhao, Song Han, Yi Li and Hang Zhao. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

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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