Seunghyeon Wang
- Computer Vision and Pattern Recognition top 10%
- Civil and Structural Engineering
- Radiological and Ultrasound Technology top 5%
- Control and Systems Engineering
- Artificial Intelligence
- Topics
- Infrastructure Maintenance and Monitoring (10 papers)3D Surveying and Cultural Heritage (4 papers)Occupational Health and Safety Research (4 papers)
- Partner nations
- South KoreaUnited Kingdom
In The Last Decade
Seunghyeon Wang
21 papers receiving 322 citations
Hit Papers
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 89
- Civil and Structural Engineering 67
- Radiological and Ultrasound Technology 49
- Control and Systems Engineering 39
- Artificial Intelligence 30
Countries citing papers authored by Seunghyeon Wang
This map shows the geographic impact of Seunghyeon Wang'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 Seunghyeon Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seunghyeon Wang more than expected).
Fields of papers citing papers by Seunghyeon Wang
This network shows the impact of papers produced by Seunghyeon Wang. 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 Seunghyeon Wang. The network helps show where Seunghyeon Wang may publish in the future.
Co-authorship network of co-authors of Seunghyeon Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Seunghyeon Wang. A scholar is included among the top collaborators of Seunghyeon Wang 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 Seunghyeon Wang. Seunghyeon Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Heavy Equipment Detection on Construction Sites Using You Only Look Once (YOLO-Version 10) with Transformer Architecturesbreakdown → | 21 |
| 5 | Automated fault diagnosis detection of air handling units using real operational labelled data and transformer-based methods at 24-hour operation hospitalbreakdown → | 16 |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 6 | |
| 9 | 11 | |
| 10 | Image Augmentation Approaches for Building Dimension Estimation in Street View Images Using Object Detection and Instance Segmentation Based on Deep Learningbreakdown → | 20 |
| 11 | 10 | |
| 12 | 13 | |
| 13 | Effectiveness of Image Augmentation Techniques on Non-Protective Personal Equipment Detection Using YOLOv8breakdown → | 18 |
| 14 | 6 | |
| 15 | 31 | |
| 16 | 23 | |
| 17 | 14 | |
| 18 | 24 | |
| 19 | 20 | |
| 20 | 34 |
About Seunghyeon Wang
Seunghyeon Wang is a scholar working on Medical Laboratory Technology, Radiological and Ultrasound Technology and Geology, having authored 28 papers that have together received 324 indexed citations. Recurring topics across this work include Infrastructure Maintenance and Monitoring (10 papers), 3D Surveying and Cultural Heritage (4 papers) and Occupational Health and Safety Research (4 papers). The work is most often cited by research in Medical Laboratory Technology (27 citations), Radiological and Ultrasound Technology (49 citations) and Geology (26 citations). Seunghyeon Wang has collaborated with scholars based in South Korea and United Kingdom. Frequent co-authors include Ju-Hyung Kim, Jae-Jun Kim, Sungkon Moon, Mengqiu Cao and Mincheol Kim. Their work appears in journals such as Scientific Reports, Energy and Buildings and Building and Environment.
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.