Shaoyi Du

5.2k citations
217 papers · 3.3k indexed · 2 hit papers · h-index 29
Topics
Robotics and Sensor-Based Localization (71 papers)Advanced Vision and Imaging (47 papers)Advanced Image and Video Retrieval Techniques (26 papers)
Partner nations
ChinaUnited StatesPoland

In The Last Decade

Shaoyi Du

194 papers receiving 3.2k citations

Hit Papers

A review of object detection based on deep learning202020262022202420202024100200300

Peers

Shaoyi Du
Comparison fields: 5 of 168
  • Computer Vision and Pattern Recognition 1.8k
  • Aerospace Engineering 923
  • Artificial Intelligence 635
  • Computational Mechanics 387
  • Geology 365
Replace Kalle Åström with:
Kalle Åström Sweden
Ferdous Sohel Australia
Yonghuai Liu United Kingdom
Rangachar Kasturi United States
Georgia Gkioxari United States
Elisa Ricci Italy
Fadi Dornaika Spain
Hongbin Zha China
Zhaoxiang Zhang China
Liang Zhang China
Shaoyi Du relative to Kalle Åström Sweden Kalle Åström's profile →
Citations per field
00.5×4.0×
Kalle Åström · 1×
Citations per year

Countries citing papers authored by Shaoyi Du

Since Specialization
Citations

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

Fields of papers citing papers by Shaoyi Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoyi Du

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoyi Du. A scholar is included among the top collaborators of Shaoyi Du 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 Shaoyi Du. Shaoyi Du 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 3
2 0
3 2
4 0
5
Hyper-YOLO: When Visual Object Detection Meets Hypergraph Computationbreakdown →
57
6 1
7 1
8 2
9 7
10 0
11 3
12 2
13 16
14 0
15 11
16 5
17 46
18 13
19 8
20 7

About Shaoyi Du

Shaoyi Du is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 217 papers that have together received 3.3k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (71 papers), Advanced Vision and Imaging (47 papers) and Advanced Image and Video Retrieval Techniques (26 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.8k citations), Geology (365 citations) and Aerospace Engineering (923 citations). Shaoyi Du has collaborated with scholars based in China, United States and Poland. Frequent co-authors include Nanning Zheng, Zhiqiang Tian, Shihui Ying, Yue Gao, Jihua Zhu, Jianru Xue, Badong Chen, Shuai Liu, Jiachen Yu and Xuguang Lan. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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