Youngwan Lee

843 citations
28 papers · 501 · 1 hit paper · h-index 9

Impact in

Papers in

Youngwan Lee

26 papers receiving 487 citations

Youngwan Lee's Hit Papers

MPViT: Multi-Path Vision Transformer for Dense Prediction 2022 · 244 citations
2440+1+2Years since publication50100150200

Peers

Youngwan Lee
Comparison fields: 5 of 75
  • Computer Vision and Pattern Recognition 267
  • Media Technology 90
  • Polymers and Plastics 66
  • Automotive Engineering 35
  • Electrical and Electronic Engineering 152
Replace Anran Wang with:
Anran Wang China
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Wenjun Zhang China
Wenjie Liu China
Fang Lin China
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Youngwan Lee relative to Anran Wang China Anran Wang's profile →
Citations per field
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Anran Wang · 1×
Citations per year

Countries citing papers authored by Youngwan Lee

Since Specialization
Citations

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

Fields of papers citing papers by Youngwan Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Youngwan Lee, 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 Youngwan Lee Line = papers co-authored together Youngwan Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1
MPViT: Multi-Path Vision Transformer for Dense Prediction
Hit paper breakdown →
2022244
2 202151
3 201640
4 202228
5 202418
6 201613
7 202311
8 201611
9 20219
10 20218
11 20168
12 20178
13 20246
14 20246
15 20206
16 20225
17 20185
18 20165
19 20215
20 20254

About Youngwan Lee

Youngwan Lee is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Polymers and Plastics, Artificial Intelligence and Automotive Engineering, having authored 28 papers that have together received 501 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (8 papers), Conducting polymers and applications (7 papers), Advanced Neural Network Applications (6 papers), Organic Electronics and Photovoltaics (4 papers), Autonomous Vehicle Technology and Safety (4 papers), Quantum Dots Synthesis And Properties (4 papers), Perovskite Materials and Applications (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (267 citations), Media Technology (90 citations), Polymers and Plastics (66 citations), Automotive Engineering (35 citations) and Electrical and Electronic Engineering (152 citations). Youngwan Lee has collaborated with scholars based in South Korea, Pakistan and Canada. Frequent co-authors include Sung Ju Hwang, Jonghee Kim, Hakil Kim, BongSoo Kim, Eunsoo Park, Peddaboodi Gopikrishna, Shinuk Cho, Kimin Yun, Jin Young Kim and Hyung-Il Kim. Their work appears in journals such as IEEE Access, Advanced Optical Materials, Nature Nanotechnology, Chemical Science and ACS Applied Materials & Interfaces.

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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