Si Chen

2.3k citations
119 papers · 1.8k · h-index 23

Impact in

Papers in

Si Chen

102 papers receiving 1.8k citations

Peers

Si Chen
Comparison fields: 5 of 158
  • Computer Vision and Pattern Recognition 555
  • Experimental and Cognitive Psychology 183
  • Biomaterials 180
  • Polymers and Plastics 188
  • Signal Processing 78
Replace Wenyi Huang with:
Wenyi Huang China
Xiang Sheng Cao China
Wei Dai China
Lina Yu China
Bingchen Li China
Weipeng Cao China
Xiaodi Wang China
Weipeng Chen China
Dong-Won Kim South Korea
Si Chen relative to Wenyi Huang China Wenyi Huang's profile →
Citations per field
00.5×2×3×4×4.7×
Wenyi Huang · 1×
Citations per year

Countries citing papers authored by Si Chen

Since Specialization
Citations

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

Fields of papers citing papers by Si Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Si Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Si Chen Line = papers co-authored together Si Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 119 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008245
2 2019124
3 202072
4 202063
5 201862
6 202156
7 201951
8 202148
9 202242
10 201937
11 201737
12 201937
13 202237
14 202035
15 202234
16 201833
17 202132
18 202131
19 201829
20 201529

About Si Chen

Si Chen is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Biomedical Engineering, Signal Processing and Biomaterials, having authored 119 papers that have together received 1.8k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (27 papers), Face recognition and analysis (21 papers), Face and Expression Recognition (20 papers), Emotion and Mood Recognition (13 papers), Advanced Neural Network Applications (8 papers), Gait Recognition and Analysis (8 papers), Advanced Image and Video Retrieval Techniques (7 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (555 citations), Experimental and Cognitive Psychology (183 citations), Biomaterials (180 citations), Polymers and Plastics (188 citations) and Signal Processing (78 citations). Si Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yan Yan, Hanzi Wang, Xian‐Zheng Zhang, Si‐Xue Cheng, Ren‐Xi Zhuo, Zhongwei Gu, Jing‐Hao Xue, Chunhua Shen, Shunzhi Zhu and Teng Wang. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, Neurocomputing, Journal of Visual Communication and Image Representation, Multimedia Systems and Pattern Recognition.

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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