Tsun-Yi Yang
Impact in
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- Face recognition and analysis
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Video Surveillance and Tracking Methods
- Face and Expression Recognition
- Advanced Neural Network Applications
- Generative Adversarial Networks and Image Synthesis
- Human-Computer Interaction top 10%
Papers in
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- Advanced Image and Video Retrieval Techniques 6
- Face recognition and analysis 2
- Advanced Neural Network Applications 2
- Video Surveillance and Tracking Methods 1
- Image Retrieval and Classification Techniques 1
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Yen‐Yu Lin (4 shared papers)Yung‐Yu Chuang (4 shared papers)Yi-Ting Chen (1 shared paper)Pi-Cheng Hsiu (1 shared paper)Yi‐Hsuan Huang (1 shared paper)Daniel DeTone (3 shared papers)Julian Straub (2 shared papers)Peter Kontschieder (1 shared paper)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- TaiwanUnited StatesSwitzerland
In The Last Decade
Tsun-Yi Yang
8 papers receiving 420 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 369
- Human-Computer Interaction 42
- Signal Processing 39
- Dermatology 24
- Aerospace Engineering 74
Countries citing papers authored by Tsun-Yi Yang
This map shows the geographic impact of Tsun-Yi Yang'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 Tsun-Yi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsun-Yi Yang more than expected).
Fields of papers citing papers by Tsun-Yi Yang
This network shows the impact of papers produced by Tsun-Yi Yang. 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 Tsun-Yi Yang. The network helps show where Tsun-Yi Yang may publish in the future.
Co-authors
The 18 scholars most cited alongside Tsun-Yi Yang, 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 | 2019 | 217 | |
| 2 | 2018 | 113 | |
| 3 | 2023 | 47 | |
| 4 | 2017 | 25 | |
| 5 | 2022 | 17 | |
| 6 | 2016 | 15 | |
| 7 | 2022 | 3 | |
| 8 | 2019 | 2 |
About Tsun-Yi Yang
Tsun-Yi Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Artificial Intelligence, Media Technology and Geology, having authored 8 papers that have together received 439 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Robotics and Sensor-Based Localization (5 papers), Face recognition and analysis (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper), 3D Surveying and Cultural Heritage (1 paper), Video Surveillance and Tracking Methods (1 paper) and Image Retrieval and Classification Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (369 citations), Human-Computer Interaction (42 citations), Signal Processing (39 citations), Dermatology (24 citations) and Aerospace Engineering (74 citations). Tsun-Yi Yang has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Yen‐Yu Lin, Yung‐Yu Chuang, Yi-Ting Chen, Pi-Cheng Hsiu, Yi‐Hsuan Huang, Daniel DeTone, Julian Straub, Peter Kontschieder, Samuel Rota Bulò and Richard Newcombe. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.