Kun-Yu Lin

827 citations
33 papers · 504 · 1 hit paper · h-index 9

Impact in

Papers in

    • Human Pose and Action Recognition 8
    • Multimodal Machine Learning Applications 4
    • Advanced Neural Network Applications 4
    • Video Surveillance and Tracking Methods 4
    • Anomaly Detection Techniques and Applications 8
    • Domain Adaptation and Few-Shot Learning 7

Kun-Yu Lin

31 papers receiving 498 citations

Kun-Yu Lin's Hit Papers

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition 2023 · 220 citations
2200+1+2Years since publication50100150200

Peers

Kun-Yu Lin
Comparison fields: 5 of 95
  • Computer Vision and Pattern Recognition 230
  • Media Technology 56
  • Computer Science Applications 30
  • Artificial Intelligence 173
  • Industrial and Manufacturing Engineering 34
Replace Jingda Guo with:
Jingda Guo United States
Xiaokai Yi China
Mohammad Kazem Moghimi Iran
Nouf Abdullah Almujally Saudi Arabia
Ming Zhao China
Latha Parameswaran India
Ajay J. Joshi United States
Tian Zhang China
Kun-Yu Lin relative to Jingda Guo United States Jingda Guo's profile →
Citations per field
00.5×2×3×
Jingda Guo · 1×
Citations per year

Countries citing papers authored by Kun-Yu Lin

Since Specialization
Citations

This map shows the geographic impact of Kun-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 Kun-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 Kun-Yu Lin more than expected).

Fields of papers citing papers by Kun-Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kun-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 Kun-Yu Lin. The network helps show where Kun-Yu Lin may publish in the future.

Co-authors

The 25 scholars most cited alongside Kun-Yu Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kun-Yu Lin Line = papers co-authored together Kun-Yu Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition
Hit paper breakdown →
2023220
2 202143
3 202242
4 202323
5 201923
6 202321
7 201821
8 202014
9 202210
10 20239
11 20229
12 20179
13 20188
14 20228
15 20236
16 20246
17 20244
18 20234
19 20173
20 20253

About Kun-Yu Lin

Kun-Yu Lin is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Statistical and Nonlinear Physics, Control and Systems Engineering and Transportation, having authored 33 papers that have together received 504 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (8 papers), Human Pose and Action Recognition (8 papers), Domain Adaptation and Few-Shot Learning (7 papers), Gait Recognition and Analysis (4 papers), Multimodal Machine Learning Applications (4 papers), Advanced Neural Network Applications (4 papers), Complex Network Analysis Techniques (4 papers) and Video Surveillance and Tracking Methods (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (230 citations), Media Technology (56 citations), Computer Science Applications (30 citations), Artificial Intelligence (173 citations) and Industrial and Manufacturing Engineering (34 citations). Kun-Yu Lin has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Wei‐Shi Zheng, Yaowei Wang, Yipeng Gao, Yu-Ming Tang, Andy Jinhua Ma, Wang Chang-dong, Chih‐Lin Hu, Carl K. Chang, Ling Huang and Longbing Cao. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Services Computing and IEEE Transactions on Neural Networks and Learning Systems.

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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