Ruichi Yu

2.5k citations
9 papers · 740 indexed · 1 hit paper · h-index 7
Topics
Video Surveillance and Tracking Methods (4 papers)Advanced Neural Network Applications (4 papers)Advanced Image and Video Retrieval Techniques (2 papers)
Journals
2022 International Conference on Robotics and Automation (ICRA)RePEc: Research Papers in Economics

In The Last Decade

Ruichi Yu

9 papers receiving 719 citations

Hit Papers

NISP: Pruning Networks Using Neuron Importance Score Prop...20182026202020232018100200300400

Peers

Ruichi Yu
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 586
  • Artificial Intelligence 355
  • Computational Mechanics 110
  • Geology 63
  • Environmental Engineering 49
Replace Jinyang Guo with:
Jinyang Guo China
Xiawu Zheng China
Zhuangwei Zhuang China
Adams Wei Yu United States
Jianwen Jiang China
Ricardo Cabral United States
Pan Ji China
Bogdan Savchynskyy Germany
Yunhang Shen China
Ruichi Yu relative to Jinyang Guo China Jinyang Guo's profile →
Citations per field
00.5×10×20×30×42.7×
Jinyang Guo · 1×
Citations per year

Countries citing papers authored by Ruichi Yu

Since Specialization
Citations

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

Fields of papers citing papers by Ruichi Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruichi Yu

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 11
2 107
3
NISP: Pruning Networks Using Neuron Importance Score Propagationbreakdown →
470
4 91
5 20
6 15
7 2
8 23
9 1

About Ruichi Yu

Ruichi Yu is a scholar working on Computer Vision and Pattern Recognition, Geology and Biophysics, having authored 9 papers that have together received 740 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (4 papers), Advanced Neural Network Applications (4 papers) and Advanced Image and Video Retrieval Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (586 citations), Computational Mathematics (7 citations) and Geology (63 citations). Ruichi Yu has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Larry S. Davis, Vlad I. Morariu, Mingfei Gao, Ching‐Yung Lin, Jui-Hsin Lai, Ang Li, Chun-Fu Chen, Xintong Han, Shiyi Lan and Gang Yu. Their work appears in journals such as 2022 International Conference on Robotics and Automation (ICRA) and RePEc: Research Papers in Economics.

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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