Daeyoon Moon

462 citations
12 papers · 326 · h-index 6

Impact in

Papers in

Daeyoon Moon

12 papers receiving 299 citations

Peers

Daeyoon Moon
Comparison fields: 5 of 60
  • Geology 155
  • Space and Planetary Science 16
  • Industrial and Manufacturing Engineering 96
  • Building and Construction 117
  • Environmental Engineering 88
Replace Samuel A. Prieto with:
Samuel A. Prieto Spain
Marko Radanović Australia
Blanca Quintana Spain
Atefe Makhmalbaf United States
Zhongya Mei China
Shakiba Davari United States
Katherine A. Liapi United States
Reza Maalek Germany
Andrzej Szymon Borkowski Poland
Gilles Albeaino United States
Daeyoon Moon relative to Samuel A. Prieto Spain Samuel A. Prieto's profile →
Citations per field
00.5×1.5×1.9×
Samuel A. Prieto · 1×
Citations per year

Countries citing papers authored by Daeyoon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Daeyoon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 10 scholars most cited alongside Daeyoon 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 Daeyoon Moon Line = papers co-authored together Daeyoon Moon links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2018126
2 2021109
3 201744
4 201821
5 20198
6 20155
7 20205
8 20173
9 20172
10 20211
11 20141
12 20151

About Daeyoon Moon

Daeyoon Moon is a scholar working on Building and Construction, Geology, Environmental Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 12 papers that have together received 326 indexed citations. Recurring topics across this work include 3D Surveying and Cultural Heritage (6 papers), BIM and Construction Integration (5 papers), Remote Sensing and LiDAR Applications (5 papers), Augmented Reality Applications (2 papers), Elevator Systems and Control (2 papers), 3D Modeling in Geospatial Applications (2 papers), Digital Transformation in Industry (1 paper) and Internet of Things and Social Network Interactions (1 paper). The work is most often cited by research in Geology (155 citations), Space and Planetary Science (16 citations), Industrial and Manufacturing Engineering (96 citations), Building and Construction (117 citations) and Environmental Engineering (88 citations). Daeyoon Moon has collaborated with scholars based in South Korea, Germany and United Arab Emirates. Frequent co-authors include Soon‐Wook Kwon, Jongwon Seo, Jaewoo Park, Heesung Park, Donghyun Kim, Chung-Suk Cho, Borja García de Soto, Thomas Böck, Jinwoo Song and Song Yi Lee. Their work appears in journals such as Journal of Asian Architecture and Building Engineering, Sustainability, Automation in Construction, KSCE Journal of Civil Engineering and Korean Journal of Construction Engineering and Management.

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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