Daeun Lee

814 citations
41 papers · 652 · h-index 16

Impact in

Papers in

Daeun Lee

41 papers receiving 642 citations

Peers

Daeun Lee
Comparison fields: 5 of 106
  • Polymers and Plastics 97
  • Electrical and Electronic Engineering 307
  • Microbiology 32
  • Health, Toxicology and Mutagenesis 61
  • Materials Chemistry 136
Replace Jingjing An with:
Jingjing An China
Jang-Su Park South Korea
P. Balamurugan India
Jikun Du China
Da Hye Kim South Korea
Tong Wu China
S.C. Goheen United States
Miguel Ángel González Martínez Spain
Siqi Zhang China
Nitish Rai India
Daeun Lee relative to Jingjing An China Jingjing An's profile →
Citations per field
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Jingjing An · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202279
2 202178
3 202260
4 201636
5 201535
6 201425
7 202324
8 202024
9 201823
10 201422
11 201420
12 201519
13 201417
14 201916
15 201716
16 201516
17 202114
18 201314
19 200413
20 202012

About Daeun Lee

Daeun Lee is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Health, Toxicology and Mutagenesis and Endocrinology, Diabetes and Metabolism, having authored 41 papers that have together received 652 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), Advanced Memory and Neural Computing (3 papers), Antimicrobial Peptides and Activities (3 papers), Semiconductor materials and devices (3 papers) and Trace Elements in Health (3 papers). The work is most often cited by research in Polymers and Plastics (97 citations), Electrical and Electronic Engineering (307 citations), Microbiology (32 citations), Health, Toxicology and Mutagenesis (61 citations) and Materials Chemistry (136 citations). Daeun Lee has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Kisok Kim, Ho Won Jang, Kyung Ju Kwak, Seung Ju Kim, 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 Antioxidants, IEEE Electron Device Letters, Journal of Vacuum Science & Technology B Nanotechnology and Microelectronics Materials Processing Measurement and Phenomena, Applied Physics Letters and Semiconductor Science and Technology.

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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