Ruichi Yu
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Generative Adversarial Networks and Image Synthesis
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
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- Computer Graphics and Visualization Techniques
Papers in
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- Video Surveillance and Tracking Methods 5
- Advanced Neural Network Applications 5
- Advanced Image and Video Retrieval Techniques 4
- Human Pose and Action Recognition 2
- Face recognition and analysis 2
- Multimodal Machine Learning Applications 2
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Larry Steven Davis (9 shared papers)Vlad I. Morariu (6 shared papers)Mingfei Gao (3 shared papers)Xintong Han (1 shared paper)Zuxuan Wu (1 shared paper)Zhe Wu (1 shared paper)Ang Li (1 shared paper)Chun-Fu Chen (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)2022 International Conference on Robotics and Automation (ICRA) (1 paper)RePEc: Research Papers in Economics (1 paper)arXiv (Cornell University) (1 paper)
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Ruichi Yu
14 papers receiving 1.6k citations
Ruichi Yu's Hit Papers
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 1.3k
- Computer Graphics and Computer-Aided Design 154
- Artificial Intelligence 608
- Computational Mechanics 317
- Geology 75
Countries citing papers authored by Ruichi Yu
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
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-authors
The 25 scholars most cited alongside Ruichi Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | NISP: Pruning Networks Using Neuron Importance Score Propagation Hit paper breakdown → | 2018 | 556 |
| 2 | VITON: An Image-Based Virtual Try-on Network Hit paper breakdown → | 2018 | 437 |
| 3 | 2017 | 227 | |
| 4 | 2019 | 122 | |
| 5 | 2018 | 108 | |
| 6 | 2018 | 70 | |
| 7 | 2016 | 31 | |
| 8 | 2018 | 21 | |
| 9 | 2017 | 17 | |
| 10 | 2022 | 15 | |
| 11 | 2024 | 3 | |
| 12 | 2017 | 2 | |
| 13 | 2014 | 1 | |
| 14 | 2019 | 1 |
About Ruichi Yu
Ruichi Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Geology and Biophysics, having authored 14 papers that have together received 1.6k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (5 papers), Advanced Neural Network Applications (5 papers), Advanced Image and Video Retrieval Techniques (4 papers), Human Pose and Action Recognition (2 papers), Face recognition and analysis (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), 3D Shape Modeling and Analysis (2 papers) and Multimodal Machine Learning Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.3k citations), Computer Graphics and Computer-Aided Design (154 citations), Artificial Intelligence (608 citations), Computational Mechanics (317 citations) and Geology (75 citations). Ruichi Yu has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Larry Steven Davis, Vlad I. Morariu, Mingfei Gao, Xintong Han, Zuxuan Wu, Zhe Wu, Ang Li, Chun-Fu Chen, Ching‐Yung Lin and Jui-Hsin Lai. Their work appears in journals such as Lecture notes in computer science, 2022 International Conference on Robotics and Automation (ICRA), RePEc: Research Papers in Economics and arXiv (Cornell University).
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.