Si Chen

2.2k citations
112 papers · 1.7k · h-index 23

Impact in

Papers in

    • Video Surveillance and Tracking Methods 25
    • Face and Expression Recognition 19
    • Face recognition and analysis 19
    • Advanced Neural Network Applications 7
    • Advanced Image and Video Retrieval Techniques 7
    • Human Pose and Action Recognition 6
    • Gait Recognition and Analysis 8

Si Chen

96 papers receiving 1.7k citations

Peers

Si Chen
Comparison fields: 5 of 154
  • Computer Vision and Pattern Recognition 520
  • Biomaterials 180
  • Experimental and Cognitive Psychology 175
  • Polymers and Plastics 188
  • Signal Processing 76
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Citations per field
00.5×4.1×
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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 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008246
2 2019121
3 202067
4 201861
5 202059
6 202154
7 201950
8 202144
9 201938
10 202237
11 201737
12 201936
13 202036
14 202235
15 202132
16 201832
17 201629
18 201829
19 202129
20 202227

About Si Chen

Si Chen is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering, Electrical and Electronic Engineering, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 112 papers that have together received 1.7k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (25 papers), Face and Expression Recognition (19 papers), Face recognition and analysis (19 papers), Emotion and Mood Recognition (12 papers), Gait Recognition and Analysis (8 papers), Advanced Neural Network Applications (7 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 (520 citations), Biomaterials (180 citations), Experimental and Cognitive Psychology (175 citations), Polymers and Plastics (188 citations) and Signal Processing (76 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, Journal of Visual Communication and Image Representation, Neurocomputing, Multimedia Systems and IEEE Transactions on Multimedia.

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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