Seonghyeon Moon

648 citations
21 papers · 412 · h-index 10

Impact in

Papers in

Seonghyeon Moon

19 papers receiving 397 citations

Peers

Seonghyeon Moon
Comparison fields: 5 of 69
  • Radiological and Ultrasound Technology 126
  • Building and Construction 137
  • Management Science and Operations Research 109
  • Statistics, Probability and Uncertainty 47
  • Medical Laboratory Technology 8
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Tuyen Le United States
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Naimeh Sadeghi Canada
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Citations per field
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Citations per year

Countries citing papers authored by Seonghyeon Moon

Since Specialization
Citations

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

Fields of papers citing papers by Seonghyeon Moon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Seonghyeon 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 Seonghyeon Moon Line = papers co-authored together Seonghyeon Moon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202273
2 202072
3 202139
4 201637
5 202331
6 202030
7 201825
8 202125
9 202316
10 201716
11 20239
12 20199
13 20227
14 20217
15 20225
16 20185
17 20224
18 20251
19 20181
20 20240

About Seonghyeon Moon

Seonghyeon Moon is a scholar working on Building and Construction, Artificial Intelligence, Management Science and Operations Research, Radiological and Ultrasound Technology and Information Systems, having authored 21 papers that have together received 412 indexed citations. Recurring topics across this work include BIM and Construction Integration (8 papers), Occupational Health and Safety Research (5 papers), Construction Project Management and Performance (5 papers), Software Engineering Research (4 papers), Infrastructure Maintenance and Monitoring (3 papers), Natural Language Processing Techniques (2 papers), Noise Effects and Management (2 papers) and Underground infrastructure and sustainability (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (126 citations), Building and Construction (137 citations), Management Science and Operations Research (109 citations), Statistics, Probability and Uncertainty (47 citations) and Medical Laboratory Technology (8 citations). Seonghyeon Moon has collaborated with scholars based in South Korea, Singapore and United States. Frequent co-authors include Seokho Chi, Bon‐Gang Hwang, Madhav Nepal, Jay Yang, Hao Zhang, Jung-Hoon Kim, Vladimir Pavlović, Sejong Yoon, Mubbasir Kapadia and Juhyun Kim. Their work appears in journals such as Journal of Management in Engineering, Advanced Engineering Informatics, Automation in Construction, Journal of Performance of Constructed Facilities and 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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