Seunguk Na
- Building and Construction top 5%
- Civil and Structural Engineering top 10%
- Information Systems and Management top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Topics
- Recycled Aggregate Concrete Performance (11 papers)Environmental Impact and Sustainability (7 papers)Sustainable Building Design and Assessment (6 papers)
- Partner nations
- South KoreaUnited Kingdom
In The Last Decade
Seunguk Na
25 papers receiving 445 citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Building and Construction 200
- Civil and Structural Engineering 124
- Information Systems and Management 91
- Artificial Intelligence 66
- Management Science and Operations Research 61
Countries citing papers authored by Seunguk Na
This map shows the geographic impact of Seunguk Na'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 Seunguk Na with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunguk Na more than expected).
Fields of papers citing papers by Seunguk Na
This network shows the impact of papers produced by Seunguk Na. 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 Seunguk Na. The network helps show where Seunguk Na may publish in the future.
Co-authorship network of co-authors of Seunguk Na
This figure shows the co-authorship network connecting the top 25 collaborators of Seunguk Na. A scholar is included among the top collaborators of Seunguk Na based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Seunguk Na. Seunguk Na is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 36 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 8 | |
| 8 | 7 | |
| 9 | Acceptance Model of Artificial Intelligence (AI)-Based Technologies in Construction Firms: Applying the Technology Acceptance Model (TAM) in Combination with the Technology–Organisation–Environment (TOE) Frameworkbreakdown → | 152 |
| 10 | 47 | |
| 11 | 2 | |
| 12 | 20 | |
| 13 | 18 | |
| 14 | 5 | |
| 15 | 10 | |
| 16 | 26 | |
| 17 | 13 | |
| 18 | 13 | |
| 19 | 14 | |
| 20 | 8 |
About Seunguk Na
Seunguk Na is a scholar working on Building and Construction, Environmental Engineering and Geology, having authored 25 papers that have together received 466 indexed citations. Recurring topics across this work include Recycled Aggregate Concrete Performance (11 papers), Environmental Impact and Sustainability (7 papers) and Sustainable Building Design and Assessment (6 papers). The work is most often cited by research in Building and Construction (200 citations), Information Systems and Management (91 citations) and Health Informatics (11 citations). Seunguk Na has collaborated with scholars based in South Korea and United Kingdom. Frequent co-authors include Seokjae Heo, Sehee Han, Yoon-Soo Shin, Young-Sook Roh, Seungho Cho, Junhee Kim and Sang‐Hyun Lee. Their work appears in journals such as IEEE Access, International Journal of Environmental Research and Public Health and Sustainability.
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.