Sijie Yan

6.4k total citations · 1 hit paper
18 papers, 3.3k citations indexed

About

Sijie Yan is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Sijie Yan has authored 18 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Sijie Yan's work include Human Pose and Action Recognition (5 papers), Human Motion and Animation (4 papers) and Advanced Measurement and Metrology Techniques (3 papers). Sijie Yan is often cited by papers focused on Human Pose and Action Recognition (5 papers), Human Motion and Animation (4 papers) and Advanced Measurement and Metrology Techniques (3 papers). Sijie Yan collaborates with scholars based in China, Hong Kong and United States. Sijie Yan's co-authors include Dahua Lin, Yuanjun Xiong, Wenlong Li, Zhouping Yin, He Xie, Jingbo Wang, Gang Zhang, Zhizhong Li, Gang Zhang and Bo Dai and has published in prestigious journals such as Journal of Physics D Applied Physics, The International Journal of Robotics Research and IEEE Transactions on Cybernetics.

In The Last Decade

Sijie Yan

16 papers receiving 3.3k citations

Hit Papers

Spatial Temporal Graph Convolutional Networks for Skeleto... 2018 2026 2020 2023 2018 500 1000 1.5k 2.0k 2.5k

Peers

Sijie Yan
Comparison fields: 5 of 122
  • Computer Vision and Pattern Recognition 2.6k
  • Artificial Intelligence 1.2k
  • Biomedical Engineering 1.1k
  • Human-Computer Interaction 624
  • Control and Systems Engineering 437
Replace Ahmad Jalal with:
Ahmad Jalal Pakistan
Manuel J. Marín‐Jiménez Spain
Greg Mori Canada
Juan Carlos Niebles United States
Cuiling Lan China
Volker Krüger Denmark
Mykhaylo Andriluka Germany
Weihua Sheng United States
Du Jiang China
Wu Liu China
Ahmad Jalal Pakistan View profile →
Citations per field, relative to Sijie Yan
Sijie Yan · 1×
Citations per year, relative to Sijie Yan
Sijie Yan · 1×

Countries citing papers authored by Sijie Yan

Since Specialization
Citations

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

Fields of papers citing papers by Sijie Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sijie Yan

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 2
2 1
3 0
4 1
5 48
6 21
7 19
8 41
9 3
10 6
11 0
12 79
13
Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition breakdown →
2877
14 40
15 71
16 82
17 31
18 18

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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