Yen‐Yu Lin
- Computer Vision and Pattern Recognition top 0.5%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Signal Processing top 5%
- Aerospace Engineering top 10%
- Co-authors
- Yung‐Yu ChuangTyng-Luh LiuChiou‐Shann FuhMing–Hsuan YangYunchun ChenTsun-Yi YangJia‐Bin HuangYi-Ting Chen
- Topics
- Advanced Image and Video Retrieval Techniques (30 papers)Human Pose and Action Recognition (22 papers)Advanced Neural Network Applications (18 papers)
- Journals
- ScienceJournal of Applied PhysicsIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yen‐Yu Lin
108 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 2.0k
- Artificial Intelligence 614
- Media Technology 345
- Signal Processing 165
- Aerospace Engineering 164
Countries citing papers authored by Yen‐Yu Lin
This map shows the geographic impact of Yen‐Yu Lin'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 Yen‐Yu Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yen‐Yu Lin more than expected).
Fields of papers citing papers by Yen‐Yu Lin
This network shows the impact of papers produced by Yen‐Yu Lin. 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 Yen‐Yu Lin. The network helps show where Yen‐Yu Lin may publish in the future.
Co-authorship network of co-authors of Yen‐Yu Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Yen‐Yu Lin. A scholar is included among the top collaborators of Yen‐Yu Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yen‐Yu Lin. Yen‐Yu Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | 5 | |
| 5 | 6 | |
| 6 | 7 | |
| 7 | Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing | 23 |
| 8 | 15 | |
| 9 | 20 | |
| 10 | Show, match and segment: Joint learning of semantic matching and object co-segmentation | 8 |
| 11 | 54 | |
| 12 | 211 | |
| 13 | 12 | |
| 14 | 54 | |
| 15 | 52 | |
| 16 | 28 | |
| 17 | 9 | |
| 18 | 8 | |
| 19 | Dimensionality Reduction for Data in Multiple Feature Representations | 18 |
| 20 | 20 |
About Yen‐Yu Lin
Yen‐Yu Lin is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Human-Computer Interaction, having authored 113 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (30 papers), Human Pose and Action Recognition (22 papers) and Advanced Neural Network Applications (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (2.0k citations), Media Technology (345 citations) and Human-Computer Interaction (135 citations). Yen‐Yu Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Yung‐Yu Chuang, Tyng-Luh Liu, Chiou‐Shann Fuh, Ming–Hsuan Yang, Yunchun Chen, Tsun-Yi Yang, Jia‐Bin Huang, Yi-Ting Chen, Chung-Chi Tsai and Pi-Cheng Hsiu. Their work appears in journals such as Science, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.