Yan Shuicheng

1.3k citations
5 papers · 820 indexed · 2 hit papers · h-index 3
Topics
Advanced Neural Network Applications (3 papers)Advanced Image and Video Retrieval Techniques (2 papers)Human Pose and Action Recognition (2 papers)
Journals
National University of Singapore科学通报(英文版)
Partner nations
SingaporeIsraelChina

In The Last Decade

Yan Shuicheng

4 papers receiving 802 citations

Hit Papers

Drop an Octave: Reducing Spatial Redundancy in Convolutio...201920262021202320192019100200300400

Peers

Yan Shuicheng
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 616
  • Artificial Intelligence 228
  • Media Technology 154
  • Radiology, Nuclear Medicine and Imaging 78
  • Biomedical Engineering 52
Replace Alexandre Sablayrolles with:
Alexandre Sablayrolles France
Kun Yuan China
Zongxin Yang China
Ambrish Tyagi United States
Feifei Lee Japan
Chenxi Liu United States
Francisco Massa
Cheng-Ze Lu China
Mehmet Çelenk United States
Bing Cao China
Yan Shuicheng relative to Alexandre Sablayrolles France Alexandre Sablayrolles's profile →
Citations per field
00.5×11×
Alexandre Sablayrolles · 1×
Citations per year

Countries citing papers authored by Yan Shuicheng

Since Specialization
Citations

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

Fields of papers citing papers by Yan Shuicheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Shuicheng

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

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Graph-Based Global Reasoning Networksbreakdown →
364
2 16
3
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks With Octave Convolutionbreakdown →
439
4 1
5
UNITARY DILATION OF AN OPERATOR
0

About Yan Shuicheng

Yan Shuicheng is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 5 papers that have together received 820 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (3 papers), Advanced Image and Video Retrieval Techniques (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (616 citations), Media Technology (154 citations) and Artificial Intelligence (228 citations). Yan Shuicheng has collaborated with scholars based in Singapore, Israel and China. Frequent co-authors include Jiashi Feng, Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Yannis Kalantidis, Haoqi Fan, Bing Xu, Jianshu Li, Pan Zhou and Jian Zhao. Their work appears in journals such as National University of Singapore and 科学通报(英文版).

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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