Doyeop Lee

26 papers receiving 484 citations

Peers

Doyeop Lee
Comparison fields: 5 of 63
  • Radiological and Ultrasound Technology 183
  • Geology 117
  • Building and Construction 252
  • Industrial and Manufacturing Engineering 64
  • Statistics, Probability and Uncertainty 46
Replace Olga Golovina with:
Olga Golovina Germany
Ung-Kyun Lee South Korea
Sooyoung Choe United States
Weiguang Jiang China
Muhammad Khan South Korea
Seokyon Hwang United States
Kwang-Pyo Lee South Korea
Ala Nekouvaght Tak Iran
Do-Yeop Lee South Korea
Przemysław Sekuła Poland
Doyeop Lee relative to Olga Golovina Germany Olga Golovina's profile →
Citations per field
00.5×3.3×
Olga Golovina · 1×
Citations per year

Countries citing papers authored by Doyeop Lee

Since Specialization
Citations

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

Fields of papers citing papers by Doyeop Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 24 scholars most cited alongside Doyeop Lee, 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 Doyeop Lee Line = papers co-authored together Doyeop Lee links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201692
2 202154
3 202145
4 202333
5 202130
6 202129
7 202027
8 202422
9 202221
10 202321
11 202316
12 202315
13 202014
14 202412
15 202312
16 202410
17 20218
18 20208
19 20208
20 20247

About Doyeop Lee

Doyeop Lee is a scholar working on Radiological and Ultrasound Technology, Building and Construction, Civil and Structural Engineering, Artificial Intelligence and Social Psychology, having authored 28 papers that have together received 505 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (16 papers), BIM and Construction Integration (12 papers), Infrastructure Maintenance and Monitoring (9 papers), Risk and Safety Analysis (3 papers), Blockchain Technology Applications and Security (3 papers), 3D Surveying and Cultural Heritage (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Semantic Web and Ontologies (2 papers). The work is most often cited by research in Radiological and Ultrasound Technology (183 citations), Geology (117 citations), Building and Construction (252 citations), Industrial and Manufacturing Engineering (64 citations) and Statistics, Probability and Uncertainty (46 citations). Doyeop Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Chansik Park, Numan Khan, Si Van-Tien Tran, Hung-Lin Chi, Jun Wang, Xiangyu Wang, Man-Woo Park, Dongmin Lee, Muhammad Khan and Shoaib Khan. Their work appears in journals such as Automation in Construction, Buildings, IEEE Access, Sustainability and Computers in Industry.

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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