Shaoxiang Chen

1.2k total citations
15 papers, 553 citations indexed

About

Shaoxiang Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Shaoxiang Chen has authored 15 papers receiving a total of 553 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 1 paper in Infectious Diseases. Recurrent topics in Shaoxiang Chen's work include Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (6 papers) and Video Analysis and Summarization (6 papers). Shaoxiang Chen is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Human Pose and Action Recognition (6 papers) and Video Analysis and Summarization (6 papers). Shaoxiang Chen collaborates with scholars based in China, Australia and Hong Kong. Shaoxiang Chen's co-authors include Yu–Gang Jiang, Jingjing Chen, James Bailey, Xingjun Ma, Yang Jiao, Zequn Jie, Ting Yao, Zuxuan Wu, Bo Wu and Junke Wang and has published in prestigious journals such as Cells, IEEE Transactions on Multimedia and Journal of Global Health.

In The Last Decade

Shaoxiang Chen

14 papers receiving 546 citations

Peers

Shaoxiang Chen
Comparison fields: 5 of 65
  • Computer Vision and Pattern Recognition 442
  • Artificial Intelligence 173
  • Aerospace Engineering 34
  • Signal Processing 26
  • Molecular Biology 24
Replace Philipp Benz with:
Philipp Benz South Korea
Jinheng Xie China
Zhangzhang Si United States
Gen Luo China
Aishwarya Kamath United States
Yuanlong Shao China
Roberto Olmos Spain
Chuming Li China
Qi-Zhi Cai United States
Philipp Benz South Korea View profile →
Citations per field, relative to Shaoxiang Chen
Shaoxiang Chen · 1×
Citations per year, relative to Shaoxiang Chen
Shaoxiang Chen · 1×

Countries citing papers authored by Shaoxiang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Shaoxiang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shaoxiang Chen

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 2
2 3
3 0
4 78
5 31
6 13
7 19
8 16
9 47
10 4
11 4
12 123
13 89
14 34
15 90

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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