Tan Yu
Impact in
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- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Image Retrieval and Classification Techniques
- Geology top 5%
- 3D Surveying and Cultural Heritage
Papers in
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- Advanced Image and Video Retrieval Techniques 19
- Multimodal Machine Learning Applications 13
- Human Pose and Action Recognition 4
- Advanced Neural Network Applications 4
- Image Retrieval and Classification Techniques 4
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- Domain Adaptation and Few-Shot Learning 9
- Co-authors
- Junsong Yuan (7 shared papers)Jingjing Meng (4 shared papers)Mingming Sun (4 shared papers)Ping Li (2 shared papers)Yunfeng Cai (3 shared papers)Xu Li (1 shared paper)Hongliang Fei (8 shared papers)Ping Li (9 shared papers)
- Journals
- Advances in Space Research (2 papers)Nature Communications (1 paper)Frontiers in Plant Science (1 paper)International Journal of Computer Vision (1 paper)IEEE Transactions on Image Processing (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Tan Yu
27 papers receiving 705 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 491
- Geology 102
- Computer Graphics and Computer-Aided Design 34
- Computational Mechanics 185
- Artificial Intelligence 237
Countries citing papers authored by Tan Yu
This map shows the geographic impact of Tan Yu'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 Tan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tan Yu more than expected).
Fields of papers citing papers by Tan Yu
This network shows the impact of papers produced by Tan Yu. 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 Tan Yu. The network helps show where Tan Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tan Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 231 | |
| 2 | 2022 | 135 | |
| 3 | 2019 | 73 | |
| 4 | 2021 | 38 | |
| 5 | 2022 | 29 | |
| 6 | 2020 | 27 | |
| 7 | 2017 | 22 | |
| 8 | 2019 | 18 | |
| 9 | 2020 | 18 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 14 | |
| 12 | 2020 | 13 | |
| 13 | 2021 | 12 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2021 | 8 | |
| 17 | 2022 | 7 | |
| 18 | 2025 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2017 | 5 |
About Tan Yu
Tan Yu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Environmental Engineering, Electrical and Electronic Engineering and Earth-Surface Processes, having authored 29 papers that have together received 717 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (19 papers), Multimodal Machine Learning Applications (13 papers), Domain Adaptation and Few-Shot Learning (9 papers), Human Pose and Action Recognition (4 papers), Advanced Neural Network Applications (4 papers), Image Retrieval and Classification Techniques (4 papers), Coastal and Marine Dynamics (2 papers) and Remote Sensing and LiDAR Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (491 citations), Geology (102 citations), Computer Graphics and Computer-Aided Design (34 citations), Computational Mechanics (185 citations) and Artificial Intelligence (237 citations). Tan Yu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Junsong Yuan, Jingjing Meng, Mingming Sun, Ping Li, Yunfeng Cai, Xu Li, Hongliang Fei, Ping Li, Yi Yang and Yi Li. Their work appears in journals such as Advances in Space Research, Nature Communications, Frontiers in Plant Science, International Journal of Computer Vision and IEEE Transactions on Image Processing.
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.