Youngwan Lee

801 citations
25 papers · 438 · 1 hit paper · h-index 9

Impact in

Papers in

Youngwan Lee

24 papers receiving 425 citations

Youngwan Lee's Hit Papers

MPViT: Multi-Path Vision Transformer for Dense Prediction 2022 · 223 citations
2230+1+2Years since publication50100150200

Peers

Youngwan Lee
Comparison fields: 5 of 72
  • Computer Vision and Pattern Recognition 241
  • Media Technology 82
  • Polymers and Plastics 66
  • Automotive Engineering 29
  • Electrical and Electronic Engineering 137
Replace Qinghui Zhang with:
Qinghui Zhang China
Junho Kim South Korea
Anran Wang China
Wenjun Zhang China
Teng Yu China
Hang Sun China
Hung-Ting Su Taiwan
Xin Shu China
Youngwan Lee relative to Qinghui Zhang China Qinghui Zhang's profile →
Citations per field
00.5×4.3×
Qinghui Zhang · 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 25 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 →
2022223
2 202147
3 201632
4 202228
5 202413
6 201612
7 201611
8 20218
9 20168
10 20217
11 20177
12 20206
13 20225
14 20215
15 20245
16 20185
17 20244
18 20164
19 20222
20 20242

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 25 papers that have together received 438 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 (5 papers), Autonomous Vehicle Technology and Safety (4 papers), Organic Electronics and Photovoltaics (4 papers), Quantum Dots Synthesis And Properties (4 papers), Perovskite Materials and Applications (4 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Media Technology (82 citations), Polymers and Plastics (66 citations), Automotive Engineering (29 citations) and Electrical and Electronic Engineering (137 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, Shinuk Cho, Peddaboodi Gopikrishna, Youngu Lee, Jin Young Kim and Eunji Lee. Their work appears in journals such as Advanced Optical Materials, Polymers, IEEE Access, ACS Applied Materials & Interfaces and Angewandte Chemie International Edition.

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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