Daewon Moon

11 papers receiving 341 citations

Peers

Daewon Moon
Comparison fields: 5 of 91
  • Aging 29
  • Surfaces, Coatings and Films 34
  • Structural Biology 5
  • Materials Chemistry 155
  • Endocrine and Autonomic Systems 20
Replace M. Hadi Zareie with:
M. Hadi Zareie United States
Edgardo Farias United States
Byungjin Lee South Korea
Virginie Monnier France
Arandi Ginane Bezerra Brazil
Marion Hoyer United States
Fei Feng China
M. Rocchia Italy
Manuela Nania United Kingdom
Hélène Roberge France
Daewon Moon relative to M. Hadi Zareie United States M. Hadi Zareie's profile →
Citations per field
00.5×3.6×
M. Hadi Zareie · 1×
Citations per year

Countries citing papers authored by Daewon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Daewon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2013212
2 201844
3 201529
4 201828
5 201317
6 19976
7 20185
8 20194
9 20192
10 20241
11 20201
12 20171
13
시스톨릭 어레이 구조를 갖는 고속 확장 QRD-RLS 알고리즘
20090
14 20250

About Daewon Moon

Daewon Moon is a scholar working on Computational Mechanics, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Computer Networks and Communications, having authored 14 papers that have together received 350 indexed citations. Recurring topics across this work include Ion-surface interactions and analysis (6 papers), Electronic and Structural Properties of Oxides (3 papers), VLSI and Analog Circuit Testing (2 papers), Internet of Things and Social Network Interactions (2 papers), Electron and X-Ray Spectroscopy Techniques (2 papers), Embedded Systems Design Techniques (2 papers), Semiconductor materials and devices (2 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Aging (29 citations), Surfaces, Coatings and Films (34 citations), Structural Biology (5 citations), Materials Chemistry (155 citations) and Endocrine and Autonomic Systems (20 citations). Daewon Moon has collaborated with scholars based in South Korea, Brazil and United States. Frequent co-authors include Mark Engelhard, Grant E. Johnson, Julia Laskin, Jinfeng Lai, Hongfei Wang, Ajay Karakoti, Karl T. Mueller, Suntharampillai Thevuthasan, Nancy Washton and Satyanarayana V. N. T. Kuchibhatla. Their work appears in journals such as Surface and Interface Analysis, Scientific Reports, PLoS Biology, 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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