Lingyu Wei
Impact in
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- Computer Graphics and Visualization Techniques
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- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Human Pose and Action Recognition
Papers in
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- Computer Graphics and Visualization Techniques 3
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- Face recognition and analysis 6
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Vision and Imaging 2
- Advanced Image Processing Techniques 2
- Co-authors
- Hao LiKoki NaganoJaewoo SeoJens FursundEtienne VougaDuygu CeylanShunsuke SaitoQixing Huang
- Journals
- ACM Transactions on Graphics (4 papers)The Visual Computer (1 paper)IEEE Transactions on Visualization and Computer Graphics (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Lingyu Wei
11 papers receiving 461 citations
Peers
Comparison fields: 5 of 59
- Computer Graphics and Computer-Aided Design 83
- Computer Vision and Pattern Recognition 388
- Human-Computer Interaction 96
- Computational Mechanics 202
- Geology 20
Countries citing papers authored by Lingyu Wei
This map shows the geographic impact of Lingyu Wei'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 Lingyu Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lingyu Wei more than expected).
Fields of papers citing papers by Lingyu Wei
This network shows the impact of papers produced by Lingyu Wei. 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 Lingyu Wei. The network helps show where Lingyu Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Lingyu Wei, 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 | 2021 | 27 | |
| 2 | 2019 | 16 | |
| 3 | 2018 | 2 | |
| 4 | 2018 | 95 | |
| 5 | 2017 | 2 | |
| 6 | 2017 | 91 | |
| 7 | 2016 | 99 | |
| 8 | 2016 | 4 | |
| 9 | 2015 | 16 | |
| 10 | 2015 | 133 | |
| 11 | 2014 | 1 |
About Lingyu Wei
Lingyu Wei is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Human-Computer Interaction and Industrial and Manufacturing Engineering, having authored 11 papers that have together received 486 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (7 papers), Face recognition and analysis (6 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Computer Graphics and Visualization Techniques (3 papers), Advanced Vision and Imaging (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Numerical Analysis Techniques (1 paper) and Manufacturing Process and Optimization (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (83 citations), Computer Vision and Pattern Recognition (388 citations), Human-Computer Interaction (96 citations), Computational Mechanics (202 citations) and Geology (20 citations). Lingyu Wei has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Hao Li, Koki Nagano, Jaewoo Seo, Jens Fursund, Etienne Vouga, Duygu Ceylan, Shunsuke Saito, Qixing Huang, Chongyang Ma and Kyle Olszewski. Their work appears in journals such as ACM Transactions on Graphics, The Visual Computer, IEEE Transactions on Visualization and Computer Graphics and Rare & Special e-Zone (The Hong Kong University of Science and Technology).
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.