Seokjae Heo
- Building and Construction top 5%
- Information Systems and Management top 5%
- Artificial Intelligence
- Management Science and Operations Research top 10%
- Civil and Structural Engineering
- Co-authors
- Seunguk NaSehee HanYoon-Soo ShinYoung-Sook RohChunwei ZhangEunjong YuSang‐Hyun LeeIn Hyun Jung
- Topics
- BIM and Construction Integration (6 papers)Infrastructure Maintenance and Monitoring (4 papers)Recycled Aggregate Concrete Performance (4 papers)
- Partner nations
- South KoreaUnited KingdomAustralia
In The Last Decade
Seokjae Heo
19 papers receiving 317 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Building and Construction 113
- Information Systems and Management 88
- Artificial Intelligence 62
- Management Science and Operations Research 57
- Civil and Structural Engineering 55
Countries citing papers authored by Seokjae Heo
This map shows the geographic impact of Seokjae Heo'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 Seokjae Heo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seokjae Heo more than expected).
Fields of papers citing papers by Seokjae Heo
This network shows the impact of papers produced by Seokjae Heo. 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 Seokjae Heo. The network helps show where Seokjae Heo may publish in the future.
Co-authorship network of co-authors of Seokjae Heo
This figure shows the co-authorship network connecting the top 25 collaborators of Seokjae Heo. A scholar is included among the top collaborators of Seokjae Heo 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 Seokjae Heo. Seokjae Heo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 12 | |
| 7 | 2 | |
| 8 | 36 | |
| 9 | 1 | |
| 10 | 18 | |
| 11 | 8 | |
| 12 | 7 | |
| 13 | 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 |
| 14 | 47 | |
| 15 | 2 | |
| 16 | 18 | |
| 17 | 0 | |
| 18 | 12 | |
| 19 | 9 | |
| 20 | 2 |
About Seokjae Heo
Seokjae Heo is a scholar working on Building and Construction, Information Systems and Management and Geology, having authored 20 papers that have together received 336 indexed citations. Recurring topics across this work include BIM and Construction Integration (6 papers), Infrastructure Maintenance and Monitoring (4 papers) and Recycled Aggregate Concrete Performance (4 papers). The work is most often cited by research in Information Systems and Management (88 citations), Building and Construction (113 citations) and Health Informatics (11 citations). Seokjae Heo has collaborated with scholars based in South Korea, United Kingdom and Australia. Frequent co-authors include Seunguk Na, Sehee Han, Yoon-Soo Shin, Young-Sook Roh, Chunwei Zhang, Eunjong Yu, Sang‐Hyun Lee, In Hyun Jung, Byoung Seok Ye and Je‐Wook Park. Their work appears in journals such as PLoS ONE, IEEE Access and Experimental Gerontology.
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.