June-Seong Yi

12 papers receiving 513 citations

Peers

June-Seong Yi
Comparison fields: 5 of 73
  • Radiological and Ultrasound Technology 169
  • Management Science and Operations Research 240
  • Building and Construction 240
  • Medical Laboratory Technology 11
  • Statistics, Probability and Uncertainty 44
Replace Nariman Ghodrati with:
Nariman Ghodrati New Zealand
Mohamad Abdul Nabi United States
Christofer Harper United States
Venkata Santosh Kumar Delhi India
Hamidreza Abbasianjahromi Iran
Yasser Yahya Al-Ashmori Malaysia
Dai Q. Tran United States
Andi Andi Indonesia
Malak Al Hattab Lebanon
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Citations per field
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Citations per year

Countries citing papers authored by June-Seong Yi

Since Specialization
Citations

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

Fields of papers citing papers by June-Seong Yi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by June-Seong Yi. 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 June-Seong Yi. The network helps show where June-Seong Yi may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2019130
2 201685
3 202072
4 201651
5 202146
6 201746
7 201139
8 201728
9 201318
10 20077
11 20216
12 20194

About June-Seong Yi

June-Seong Yi is a scholar working on Management Science and Operations Research, Building and Construction, Radiological and Ultrasound Technology, Social Psychology and Political Science and International Relations, having authored 12 papers that have together received 532 indexed citations. Recurring topics across this work include Construction Project Management and Performance (5 papers), BIM and Construction Integration (4 papers), Occupational Health and Safety Research (3 papers), Safety Warnings and Signage (2 papers), Capital Investment and Risk Analysis (1 paper), Housing Market and Economics (1 paper), Infrastructure Maintenance and Monitoring (1 paper) and Color perception and design (1 paper). The work is most often cited by research in Radiological and Ultrasound Technology (169 citations), Management Science and Operations Research (240 citations), Building and Construction (240 citations), Medical Laboratory Technology (11 citations) and Statistics, Probability and Uncertainty (44 citations). June-Seong Yi has collaborated with scholars based in South Korea and United States. Frequent co-authors include JeongWook Son, JeeHee Lee, Yong‐Woo Kim, Soowon Chang, WoonSeong Jeong, Youngjib Ham, Sungjoo Hwang, Bonsang Koo, Jinwoo Bae and Seung‐Yeong Song. Their work appears in journals such as Journal of Management in Engineering, Journal of Asian Architecture and Building Engineering, Sustainability, Accident Analysis & Prevention and Journal of Computing in Civil Engineering.

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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