Dae Won Moon

206 papers receiving 4.1k citations

Peers

Dae Won Moon
Comparison fields: 5 of 141
  • Surfaces, Coatings and Films 506
  • Computational Mechanics 820
  • Materials Chemistry 1.6k
  • Catalysis 233
  • Electrical and Electronic Engineering 1.6k
Replace Tae Geol Lee with:
Tae Geol Lee South Korea
Andreas Voigt Germany
Ching‐Yuan Su Taiwan
Kari Dalnoki‐Veress Canada
L. Lozzi Italy
Israel Rubinstein Israel
Paolo Milani Italy
Fernando Galembeck Brazil
Alessandro Podestà Italy
Anke Krueger Germany
Dae Won Moon relative to Tae Geol Lee South Korea Tae Geol Lee's profile →
Citations per field
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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-authors

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

Showing the 20 most-cited of 214 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013274
2 2004129
3 1985119
4 1985117
5 1987106
6 200793
7 199788
8 198788
9 200683
10 201176
11 202176
12 200075
13 200470
14 200466
15 199865
16 199762
17 200161
18 201061
19 200757
20 200351

About Dae Won Moon

Dae Won Moon is a scholar working on Computational Mechanics, Surfaces, Coatings and Films, Electrical and Electronic Engineering, Materials Chemistry and Spectroscopy, having authored 214 papers that have together received 4.2k indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (94 papers), Semiconductor materials and devices (71 papers), Integrated Circuits and Semiconductor Failure Analysis (43 papers), Electron and X-Ray Spectroscopy Techniques (20 papers), Electronic and Structural Properties of Oxides (20 papers), Mass Spectrometry Techniques and Applications (19 papers), Metal and Thin Film Mechanics (18 papers) and Advanced biosensing and bioanalysis techniques (15 papers). The work is most often cited by research in Surfaces, Coatings and Films (506 citations), Computational Mechanics (820 citations), Materials Chemistry (1.6k citations), Catalysis (233 citations) and Electrical and Electronic Engineering (1.6k citations). Dae Won Moon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Tae Geol Lee, Kyung Joong Kim, Steven L. Bernasek, Daniel J. Dwyer, 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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