Dae Won Moon

4.4k citations
190 papers · 3.5k indexed · h-index 32

Dae Won Moon

187 papers receiving 3.4k citations

Peers

Dae Won Moon
Comparison fields: 5 of 129
  • Surfaces, Coatings and Films 378
  • Aging 71
  • Computational Mechanics 723
  • Catalysis 220
  • Materials Chemistry 1.3k
Replace Tae Geol Lee with:
Tae Geol Lee South Korea
Ching‐Yuan Su Taiwan
Salvador Mafé Spain
Satoshi Okada Japan
Nobuatsu Watanabe Japan
Akira Yabe Japan
Jarosław Majewski United States
Paolo Milani Italy
Sumeet Mahajan United Kingdom
Dae Won Moon relative to Tae Geol Lee South Korea Tae Geol Lee's profile →
Citations per field
00.5×8.9×
Tae Geol Lee · 1×
Citations per year

Countries citing papers authored by Dae Won Moon

Since Specialization
Citations

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

Fields of papers citing papers by Dae Won Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dae Won Moon. 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 Dae Won Moon. The network helps show where Dae Won Moon may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20223
2 202165
3 202013
4 201597
5 20147
6 201219
7 201126
8 201145
9 20093
10 200918
11 200815
12 200821
13 200610
14 200513
15
Optical Characterization of Si Nanocrystals in Si-rich SiOx and SiOx/SiO(2) Multilayers Grown by Ion Beam Sputtering
20047
16
Determination of In / Si(111) - 4x1 phase coverage and bias dependent STM images
20032
17 20036
18
Nitrogen Depth Profiles in Ultrathin Oxynitride Films
20021
19 200161
20
Microstructure and Third Order Optical Nonlinearities of Ion-Implanted and Thermally Annealed $Cu-SiO_2$ Thin Films
19972

About Dae Won Moon

Dae Won Moon is a scholar working on Computational Mechanics, Surfaces, Coatings and Films and Electrical and Electronic Engineering, having authored 190 papers that have together received 3.5k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (88 papers), Semiconductor materials and devices (66 papers), Integrated Circuits and Semiconductor Failure Analysis (42 papers), Mass Spectrometry Techniques and Applications (18 papers), Electronic and Structural Properties of Oxides (17 papers), Metal and Thin Film Mechanics (17 papers), Advanced biosensing and bioanalysis techniques (16 papers) and Electron and X-Ray Spectroscopy Techniques (16 papers). The work is most often cited by research in Surfaces, Coatings and Films (378 citations), Aging (71 citations) and Computational Mechanics (723 citations). Dae Won Moon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Tae Geol Lee, Steven L. Bernasek, Daniel J. Dwyer, Kyung Joong Kim, Hyun Kyong Shon, John L. Gland, Young‐Pil Kim, Hyo Sik Chang, Donggeun Jung and Hak‐Sung Kim. Their work appears in journals such as Applied Physics Letters, Surface and Interface Analysis, Applied Surface Science, Journal of Vacuum Science & Technology A Vacuum Surfaces and Films and Analytical Chemistry.

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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