Junho Song
- Civil and Structural Engineering top 0.2%
- Electrical and Electronic Engineering top 2%
- Statistics, Probability and Uncertainty top 0.05%
- Automotive Engineering top 0.5%
- Electronic, Optical and Magnetic Materials top 5%
- Co-authors
- Armen Der KiureghianGláucio H. PaulinoWon‐Hee KangTaeyong KimYoung‐Jun KimZiqi WangOh‐Sung KwonTam H. Nguyen
- Topics
- Probabilistic and Robust Engineering Design (61 papers)Seismic Performance and Analysis (54 papers)Structural Health Monitoring Techniques (49 papers)
- Cited by
- Statistics, Probability and UncertaintyCivil and Structural EngineeringAutomotive Engineering
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Junho Song
220 papers receiving 6.1k citations
Peers
Comparison fields: 5 of 146
- Civil and Structural Engineering 3.0k
- Electrical and Electronic Engineering 2.0k
- Statistics, Probability and Uncertainty 1.8k
- Automotive Engineering 883
- Electronic, Optical and Magnetic Materials 616
Countries citing papers authored by Junho Song
This map shows the geographic impact of Junho Song'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 Junho Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junho Song more than expected).
Fields of papers citing papers by Junho Song
This network shows the impact of papers produced by Junho Song. 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 Junho Song. The network helps show where Junho Song may publish in the future.
Co-authorship network of co-authors of Junho Song
This figure shows the co-authorship network connecting the top 25 collaborators of Junho Song. A scholar is included among the top collaborators of Junho Song 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 Junho Song. Junho Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 15 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 22 | |
| 19 | 31 | |
| 20 | 105 |
About Junho Song
Junho Song is a scholar working on Statistics, Probability and Uncertainty, Civil and Structural Engineering and Safety, Risk, Reliability and Quality, having authored 238 papers that have together received 6.4k indexed citations. Recurring topics across this work include Probabilistic and Robust Engineering Design (61 papers), Seismic Performance and Analysis (54 papers) and Structural Health Monitoring Techniques (49 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (1.8k citations), Civil and Structural Engineering (3.0k citations) and Automotive Engineering (883 citations). Junho Song has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Armen Der Kiureghian, Gláucio H. Paulino, Won‐Hee Kang, Taeyong Kim, Young‐Jun Kim, Ziqi Wang, Oh‐Sung Kwon, Tam H. Nguyen, Taeeun Yim and Seung‐Yong Ok. Their work appears in journals such as Nano Letters, Advanced Functional Materials and Advanced Energy Materials.
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.