Yao Feng
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- Generative Adversarial Networks and Image Synthesis 3
- Face recognition and analysis 3
- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Computational Mechanics top 5%
- 3D Shape Modeling and Analysis 5
- Human-Computer Interaction top 10%
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- Industrial Vision Systems and Defect Detection 2
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- Human Motion and Animation 2
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- Ultrasound Imaging and Elastography 2
- Co-authors
- Michael J. BlackTimo BolkartHaiwen FengJinlong YangMarc PollefeysMaoxiang ChuRongfen GongYonghui Yang
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- ACM Transactions on Graphics (2 papers)Microwave and Optical Technology Letters (1 paper)Journal of Iron and Steel Research International (1 paper)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Yao Feng
12 papers receiving 451 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Computer Graphics and Computer-Aided Design 80
- Computer Vision and Pattern Recognition 397
- Computational Mechanics 196
- Human-Computer Interaction 34
- Industrial and Manufacturing Engineering 31
Countries citing papers authored by Yao Feng
This map shows the geographic impact of Yao Feng'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 Yao Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yao Feng more than expected).
Fields of papers citing papers by Yao Feng
This network shows the impact of papers produced by Yao Feng. 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 Yao Feng. The network helps show where Yao Feng may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yao Feng, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 12 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2023 | 0 | |
| 9 | 2022 | 0 | |
| 10 | 2022 | 48 | |
| 11 | Learning an animatable detailed 3D face model from in-the-wild imagesbreakdown → | 2021 | 330 |
| 12 | 2021 | 1 | |
| 13 | 2021 | 46 | |
| 14 | 2021 | 1 | |
| 15 | 2020 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2019 | 28 |
About Yao Feng
Yao Feng is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Industrial and Manufacturing Engineering and Human-Computer Interaction, having authored 17 papers that have together received 480 indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (5 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Face recognition and analysis (3 papers), Advanced Vision and Imaging (2 papers), Human Motion and Animation (2 papers), Ultrasound Imaging and Elastography (2 papers), Industrial Vision Systems and Defect Detection (2 papers) and Human Pose and Action Recognition (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (80 citations), Computer Vision and Pattern Recognition (397 citations), Computational Mechanics (196 citations), Human-Computer Interaction (34 citations) and Industrial and Manufacturing Engineering (31 citations). Yao Feng has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Michael J. Black, Timo Bolkart, Haiwen Feng, Jinlong Yang, Marc Pollefeys, Maoxiang Chu, Rongfen Gong, Yonghui Yang, Yu Sun and Michael J. Black. Their work appears in journals such as ACM Transactions on Graphics, Microwave and Optical Technology Letters, Journal of Iron and Steel Research International, Chemometrics and Intelligent Laboratory Systems and Future Generation Computer Systems.
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.