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
- Generative Adversarial Networks and Image Synthesis
- Advanced Neural Network Applications
- 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
- Multimodal Machine Learning Applications 1
- Advanced Vision and Imaging 1
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Yung‐Yu Chuang (4 shared papers)Yen‐Yu Lin (4 shared papers)Yi-Ting Chen (1 shared paper)Yi‐Hsuan Huang (1 shared paper)Pi-Cheng Hsiu (1 shared paper)Daniel DeTone (3 shared papers)Richard Newcombe (3 shared papers)Julian Straub (2 shared papers)
- Journals
- Lecture notes in computer science (1 paper)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
9 papers receiving 472 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 412
- Human-Computer Interaction 48
- Signal Processing 43
- Geology 21
- Dermatology 29
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 22 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 | 238 | |
| 2 | 2018 | 123 | |
| 3 | 2023 | 52 | |
| 4 | 2017 | 30 | |
| 5 | 2022 | 19 | |
| 6 | 2016 | 15 | |
| 7 | 2024 | 7 | |
| 8 | 2022 | 5 | |
| 9 | 2019 | 3 |
About Tsun-Yi Yang
Tsun-Yi Yang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Computational Mechanics, Artificial Intelligence and Media Technology, having authored 9 papers that have together received 492 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), 3D Surveying and Cultural Heritage (1 paper), Multimodal Machine Learning Applications (1 paper), Remote-Sensing Image Classification (1 paper) and Advanced Vision and Imaging (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (412 citations), Human-Computer Interaction (48 citations), Signal Processing (43 citations), Geology (21 citations) and Dermatology (29 citations). Tsun-Yi Yang has collaborated with scholars based in Taiwan, United States and Switzerland. Frequent co-authors include Yung‐Yu Chuang, Yen‐Yu Lin, Yi-Ting Chen, Yi‐Hsuan Huang, Pi-Cheng Hsiu, Daniel DeTone, Richard Newcombe, Julian Straub, Tomasz Malisiewicz and Paul-Edouard Sarlin. Their work appears in journals such as Lecture notes in computer science, 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.