Yen‐Yu Lin

5.1k total citations
113 papers, 2.6k citations indexed

About

Yen‐Yu Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Yen‐Yu Lin has authored 113 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Computer Vision and Pattern Recognition, 35 papers in Artificial Intelligence and 13 papers in Media Technology. Recurrent topics in Yen‐Yu Lin's work include Advanced Image and Video Retrieval Techniques (30 papers), Human Pose and Action Recognition (22 papers) and Advanced Neural Network Applications (18 papers). Yen‐Yu Lin is often cited by papers focused on Advanced Image and Video Retrieval Techniques (30 papers), Human Pose and Action Recognition (22 papers) and Advanced Neural Network Applications (18 papers). Yen‐Yu Lin collaborates with scholars based in Taiwan, United States and China. Yen‐Yu Lin's 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 and has published in prestigious journals such as Science, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Yen‐Yu Lin

108 papers receiving 2.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yen‐Yu Lin Taiwan 26 2.0k 614 345 165 164 113 2.6k
Dan Xu China 22 1.4k 0.7× 670 1.1× 276 0.8× 148 0.9× 339 2.1× 332 2.6k
Yu‐Jin Zhang China 23 1.7k 0.9× 563 0.9× 396 1.1× 236 1.4× 67 0.4× 143 2.6k
Yin Li China 29 4.3k 2.2× 1.1k 1.8× 401 1.2× 165 1.0× 329 2.0× 95 5.3k
Leon A. Gatys Germany 11 3.1k 1.6× 676 1.1× 288 0.8× 183 1.1× 48 0.3× 16 4.0k
Abhinav Shrivastava United States 20 2.1k 1.0× 1.3k 2.1× 272 0.8× 145 0.9× 154 0.9× 73 3.2k
Xin Yu China 36 2.9k 1.4× 769 1.3× 406 1.2× 247 1.5× 420 2.6× 260 4.3k
Quanfu Fan United States 18 1.3k 0.7× 587 1.0× 251 0.7× 140 0.8× 132 0.8× 48 2.1k
Andrew Tao United States 6 2.3k 1.2× 436 0.7× 241 0.7× 130 0.8× 87 0.5× 11 2.8k
Hongyang Chao China 22 2.1k 1.0× 519 0.8× 377 1.1× 209 1.3× 122 0.7× 87 2.6k
Jimmy Ren China 24 2.5k 1.3× 330 0.5× 921 2.7× 83 0.5× 106 0.6× 56 3.0k

Countries citing papers authored by Yen‐Yu Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Chen, Jun-Cheng, et al.. (2025). Improving Visual Object Tracking Through Visual Prompting. IEEE Transactions on Multimedia. 27. 2682–2694.
2.
Liu, Chen‐Chung, et al.. (2024). From readers to players: Exploring student engagement in a gamified metaverse and its effect on reading interest. Education and Information Technologies. 30(1). 421–447. 3 indexed citations
3.
Lin, Chieh‐Ting, et al.. (2024). Development and Validation of a 3D Resnet Model for Prediction of Lymph Node Metastasis in Head and Neck Cancer Patients. Journal of Imaging Informatics in Medicine. 37(2). 679–687. 2 indexed citations
4.
5.
Wu, Jiahao, et al.. (2024). ID-Blau: Image Deblurring by Implicit Diffusion-Based reBLurring AUgmentation. 25847–25856. 6 indexed citations
6.
7.
Lin, Yan-Bo, Hung-Yu Tseng, Hsin-Ying Lee, Yen‐Yu Lin, & Ming–Hsuan Yang. (2021). Exploring Cross-Video and Cross-Modality Signals for Weakly-Supervised Audio-Visual Video Parsing. Neural Information Processing Systems. 34. 23 indexed citations
8.
Chen, Liangjian, Shih-Yao Lin, Yusheng Xie, Yen‐Yu Lin, & Xiaohui Xie. (2021). Temporal-Aware Self-Supervised Learning for 3D Hand Pose and Mesh Estimation in Videos. 1049–1058. 15 indexed citations
9.
Chen, Liangjian, Shih-Yao Lin, Yusheng Xie, et al.. (2020). DGGAN: Depth-image Guided Generative Adversarial Networks for Disentangling RGB and Depth Images in 3D Hand Pose Estimation. 400–408. 20 indexed citations
10.
Lin, Yen‐Yu, et al.. (2019). Show, match and segment: Joint learning of semantic matching and object co-segmentation. arXiv (Cornell University). 8 indexed citations
11.
Li, Yu-Jhe, Yunchun Chen, Yen‐Yu Lin, Xiaofei Du, & Yu-Chiang Frank Wang. (2019). Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. 8089–8098. 54 indexed citations
12.
Yang, Tsun-Yi, Yi-Ting Chen, Yen‐Yu Lin, & Yung‐Yu Chuang. (2019). FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation From a Single Image. 1087–1096. 211 indexed citations
13.
Lin, Yen‐Yu, et al.. (2019). 3D Printed Random Lasers. Advanced Materials Technologies. 5(1). 12 indexed citations
14.
Lin, Yen‐Yu, et al.. (2019). DeepCO3: Deep Instance Co-Segmentation by Co-Peak Search and Co-Saliency Detection. 8838–8847. 54 indexed citations
15.
Lin, Yen‐Yu, et al.. (2018). Co-attention CNNs for Unsupervised Object Co-segmentation. 748–756. 52 indexed citations
16.
Kanamori, Hiroo, Lingling Ye, Bor‐Shouh Huang, et al.. (2017). A strong-motion hot spot of the 2016 Meinong, Taiwan, earthquake (Mw = 6.4). Terrestrial Atmospheric and Oceanic Sciences. 28(5). 637–650. 28 indexed citations
17.
Tsai, Chung-Chi, Xiaoning Qian, & Yen‐Yu Lin. (2017). Image co-saliency detection via locally adaptive saliency map fusion. 1897–1901. 9 indexed citations
18.
Wei, Shih-En, Nick C. Tang, Yen‐Yu Lin, Ming-Fang Weng, & Hong-Yuan Mark Liao. (2014). Skeleton-augmented Human Action Understanding by Learning with Progressively Refined Data. 7–10. 8 indexed citations
19.
Lin, Yen‐Yu, et al.. (2008). Dimensionality Reduction for Data in Multiple Feature Representations. Neural Information Processing Systems. 21. 961–968. 18 indexed citations
20.
Lin, Yen‐Yu, To-Jung Tseng, Yu‐Lin Hsieh, et al.. (2008). Depletion of peptidergic innervation in the gastric mucosa of streptozotocin-induced diabetic rats. Experimental Neurology. 213(2). 388–396. 20 indexed citations

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.

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2026