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

Yen‐Yu Lin
Comparison fields: 5 of 150
  • Computer Vision and Pattern Recognition 2.0k
  • Artificial Intelligence 614
  • Media Technology 345
  • Signal Processing 165
  • Aerospace Engineering 164
Replace Dan Xu with:
Dan Xu China
Yu‐Jin Zhang China
Yin Li China
Leon A. Gatys Germany
Abhinav Shrivastava United States
Xin Yu China
Quanfu Fan United States
Andrew Tao United States
Hongyang Chao China
Jimmy Ren China
Dan Xu China View profile →
Citations per field, relative to Yen‐Yu Lin
Yen‐Yu Lin · 1×
Citations per year, relative to Yen‐Yu Lin
Yen‐Yu Lin · 1×

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
# 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

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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