Luyu Yang
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Multimodal Machine Learning Applications
- Image and Video Quality Assessment
- Visual Attention and Saliency Detection
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- Domain Adaptation and Few-Shot Learning
- Anomaly Detection Techniques and Applications
Papers in
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- Multimodal Machine Learning Applications 3
- Advanced Vision and Imaging 2
- Human Pose and Action Recognition 2
- Advanced Image Processing Techniques 2
- Advanced Neural Network Applications 2
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- Domain Adaptation and Few-Shot Learning 3
- Co-authors
- Chenqiang Gao (2 shared papers)Alexander G. Hauptmann (1 shared paper)Deyu Meng (1 shared paper)Jing Lv (1 shared paper)Wei‐Lun Chao (2 shared papers)Mingfei Gao (2 shared papers)Abhinav Shrivastava (2 shared papers)Ser-Nam Lim (2 shared papers)
- Journals
- Neurocomputing (2 papers)Frontiers in Oncology (1 paper)Energies (1 paper)World Wide Web (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Luyu Yang
8 papers receiving 180 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 148
- Artificial Intelligence 84
- Human-Computer Interaction 10
- Media Technology 15
- Health Informatics 1
Countries citing papers authored by Luyu Yang
This map shows the geographic impact of Luyu 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 Luyu Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luyu Yang more than expected).
Fields of papers citing papers by Luyu Yang
This network shows the impact of papers produced by Luyu 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 Luyu Yang. The network helps show where Luyu Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Luyu 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 | 2016 | 76 | |
| 2 | 2021 | 50 | |
| 3 | 2017 | 29 | |
| 4 | 2015 | 12 | |
| 5 | MiCo: Mixup Co-Training for Semi-Supervised Domain Adaptation | 2020 | 10 |
| 6 | 2024 | 2 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Luyu Yang
Luyu Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Human-Computer Interaction, having authored 11 papers that have together received 182 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (3 papers), Multimodal Machine Learning Applications (3 papers), Hand Gesture Recognition Systems (2 papers), Advanced Vision and Imaging (2 papers), Human Pose and Action Recognition (2 papers), Advanced Image Processing Techniques (2 papers), Advanced Neural Network Applications (2 papers) and 3D Shape Modeling and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (148 citations), Artificial Intelligence (84 citations), Human-Computer Interaction (10 citations), Media Technology (15 citations) and Health Informatics (1 citation). Luyu Yang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Chenqiang Gao, Alexander G. Hauptmann, Deyu Meng, Jing Lv, Wei‐Lun Chao, Mingfei Gao, Abhinav Shrivastava, Ser-Nam Lim, Kilian Q. Weinberger and Yan Wang. Their work appears in journals such as Neurocomputing, Frontiers in Oncology, Energies, World Wide Web and 2021 IEEE/CVF International Conference on Computer Vision (ICCV).
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.