Countries citing papers authored by Young‐Cheol Yoon
Since
Specialization
Citations
This map shows the geographic impact of Young‐Cheol Yoon'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 Young‐Cheol Yoon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young‐Cheol Yoon more than expected).
Fields of papers citing papers by Young‐Cheol Yoon
This network shows the impact of papers produced by Young‐Cheol Yoon. 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 Young‐Cheol Yoon. The network helps show where Young‐Cheol Yoon may publish in the future.
Co-authorship network of co-authors of Young‐Cheol Yoon
This figure shows the co-authorship network connecting the top 25 collaborators of Young‐Cheol Yoon.
A scholar is included among the top collaborators of Young‐Cheol Yoon 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 Young‐Cheol Yoon. Young‐Cheol Yoon is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Kim, Ki‐Seok, et al.. (2015). Numerical Validation of Tensile Strain Capacity of X80 Line Pipe Based on the GTN model. The Twenty-fifth International Ocean and Polar Engineering Conference.2 indexed citations
Yoon, Young‐Cheol & Hyuk-Chun Noh. (2011). Extended MLS Difference Method for Potential Problem with Weak and Strong Discontinuities. Journal of the Computational Structural Engineering Institute of Korea. 24(5). 577–588.
9.
Yoon, Young‐Cheol & Sangho Lee. (2009). Intrinsically Extended Moving Least Squares Finite Difference Method for Potential Problems with Interfacial Boundary. Journal of the Computational Structural Engineering Institute of Korea. 22(5). 411–420.1 indexed citations
10.
Lee, Seung-Jung, et al.. (2009). Large Deformation Inelastic Analysis of API-X80 Steel Linepipes. Journal of the Computational Structural Engineering Institute of Korea. 22(4). 363–370.3 indexed citations
11.
Yoon, Young‐Cheol & Do Wan Kim. (2009). Analysis of Moving Boundary Problem Using Extended Moving Least Squares Finite Difference Method. Journal of the Computational Structural Engineering Institute of Korea. 22(4). 315–322.
12.
Kim, Hyo-Jin, et al.. (2008). Interoperability Improvement in Cable-Stayed Bridge Monitoring System with IFC-based Information Model. 102–104.1 indexed citations
13.
Yoon, Young‐Cheol, et al.. (2007). Analysis of Stress Concentration Problems Using Moving Least Squares Finite Difference Method(II) : Application to crack and localization band problems. Journal of the Computational Structural Engineering Institute of Korea. 20(4). 501–507.
14.
Yoon, Young‐Cheol, et al.. (2007). Heat Transfer Analysis of Bi-Material Problem with Interfacial Boundary Using Moving Least Squares Finite Difference Method. Journal of the Computational Structural Engineering Institute of Korea. 20(6). 779–787.
15.
Yoon, Young‐Cheol, Hyo-Jin Kim, Dongjo Kim, et al.. (2007). Analysis of Stress Concentration Problems Using Moving Least Squares Finite Difference Method(I) : Formulation for Solid Mechanics Problem. Journal of the Computational Structural Engineering Institute of Korea. 20(4). 493–499.
16.
Yoon, Young‐Cheol, Dongjo Kim, & Sang-Ho Lee. (2007). A Gridless Finite Difference Method for Elastic Crack Analysis. Journal of the Computational Structural Engineering Institute of Korea. 20(3). 321–327.1 indexed citations
Yoon, Young‐Cheol, et al.. (2005). Consistent Diffuse Derivative Approximation in Particle Methods for Weak and Strong Formulations (1) : Mathematical Foundations and Discretizations. 25. 907–913.
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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.