Daeun Lee

863 citations
40 papers · 724 · h-index 16

Impact in

Papers in

Daeun Lee

39 papers receiving 714 citations

Peers

Daeun Lee
Comparison fields: 5 of 104
  • Polymers and Plastics 100
  • Health, Toxicology and Mutagenesis 79
  • Electrical and Electronic Engineering 326
  • Microbiology 33
  • Pollution 37
Replace Jang-Su Park with:
Jang-Su Park South Korea
Jingjing An China
Gayoung Seo South Korea
Tong Wu China
Da Hye Kim South Korea
Koichi Imai Japan
Manuela Pintus Italy
Miguel Ángel González Martínez Spain
Nitish Rai India
João Roberto Fernandes Brazil
Daeun Lee relative to Jang-Su Park South Korea Jang-Su Park's profile →
Citations per field
00.5×2×4×6×7.7×
Jang-Su Park · 1×
Citations per year

Countries citing papers authored by Daeun Lee

Since Specialization
Citations

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

Fields of papers citing papers by Daeun Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022107
2 202183
3 202270
4 201637
5 201536
6 202335
7 201426
8 202026
9 201423
10 201823
11 201522
12 201422
13 200420
14 201718
15 202118
16 201417
17 201516
18 201314
19 201513
20 202013

About Daeun Lee

Daeun Lee is a scholar working on Electrical and Electronic Engineering, Microbiology, Health, Toxicology and Mutagenesis, Polymers and Plastics and Endocrinology, Diabetes and Metabolism, having authored 40 papers that have together received 724 indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (9 papers), ZnO doping and properties (6 papers), Heavy Metal Exposure and Toxicity (4 papers), Perovskite Materials and Applications (3 papers), Trace Elements in Health (3 papers), Advanced Memory and Neural Computing (3 papers), Semiconductor materials and devices (3 papers) and Antimicrobial Peptides and Activities (3 papers). The work is most often cited by research in Polymers and Plastics (100 citations), Health, Toxicology and Mutagenesis (79 citations), Electrical and Electronic Engineering (326 citations), Microbiology (33 citations) and Pollution (37 citations). Daeun Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kisok Kim, Ho Won Jang, Seung Ju Kim, Kyung Ju Kwak, Chan-Yong Jeong, Hyuck‐In Kwon, Sang-Hun Song, Jong‐In Kim, Youngjoon Han and Yong-Jin Choi. Their work appears in journals such as IEEE Electron Device Letters, Semiconductor Science and Technology, Antioxidants, Applied Physics Letters and Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena.

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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