Chen-Yu Lee

479 total citations
2 papers, 55 citations indexed

About

Chen-Yu Lee is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Chen-Yu Lee has authored 2 papers receiving a total of 55 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Vision and Pattern Recognition, 2 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Chen-Yu Lee's work include Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). Chen-Yu Lee is often cited by papers focused on Domain Adaptation and Few-Shot Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Multimodal Machine Learning Applications (1 paper). Chen-Yu Lee collaborates with scholars based in Taiwan and United States. Chen-Yu Lee's co-authors include Yi‐Hsuan Tsai and Wei-Chen Chiu and has published in prestigious journals such as .

In The Last Decade

Chen-Yu Lee

1 paper receiving 53 citations

Peers

Chen-Yu Lee
Sukmin Yun South Korea
Ching-Yao Chuang United States
Rafael Rafailov United States
Quang Pham Singapore
Taihong Xiao United States
Mohammad Al Sa’d United Kingdom
Chen-Yu Lee
Citations per year, relative to Chen-Yu Lee Chen-Yu Lee (= 1×) peers Mohammad Pezeshki

Countries citing papers authored by Chen-Yu Lee

Since Specialization
Citations

This map shows the geographic impact of Chen-Yu Lee'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 Chen-Yu Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chen-Yu Lee more than expected).

Fields of papers citing papers by Chen-Yu Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chen-Yu Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chen-Yu Lee. A scholar is included among the top collaborators of Chen-Yu Lee 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 Chen-Yu Lee. Chen-Yu Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

2 of 2 papers shown
1.
Tsai, Yi‐Hsuan, et al.. (2023). Multimodal Prompting with Missing Modalities for Visual Recognition. 14943–14952. 55 indexed citations
2.
Lee, Chen-Yu, et al.. (2023). Data Efficient Incremental Learning via Attentive Knowledge Replay. 2952–2959.

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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