Younghae Do

3.5k citations
114 papers · 2.7k indexed · h-index 28
Topics
Nanofluid Flow and Heat Transfer (29 papers)Nonlinear Dynamics and Pattern Formation (17 papers)Fluid Dynamics and Turbulent Flows (17 papers)

In The Last Decade

Younghae Do

107 papers receiving 2.6k citations

Peers

Younghae Do
Comparison fields: 5 of 155
  • Statistical and Nonlinear Physics 1.0k
  • Biomedical Engineering 839
  • Computational Mechanics 619
  • Mechanical Engineering 603
  • Computer Networks and Communications 383
Replace Fabio Dercole with:
Fabio Dercole Italy
Raymond H. Plaut United States
Randy Paffenroth United States
Thomas Richardson United Kingdom
David M. Walker Australia
Bogdan I. Epureanu United States
Yong Xu China
Anna Zafeiris Hungary
Ofer Shochet Israel
Stefano Lenci Italy
Younghae Do relative to Fabio Dercole Italy Fabio Dercole's profile →
Citations per field
00.5×6.7×
Fabio Dercole · 1×
Citations per year

Countries citing papers authored by Younghae Do

Since Specialization
Citations

This map shows the geographic impact of Younghae Do'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 Younghae Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Younghae Do more than expected).

Fields of papers citing papers by Younghae Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Younghae Do. 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 Younghae Do. The network helps show where Younghae Do may publish in the future.

Co-authorship network of co-authors of Younghae Do

This figure shows the co-authorship network connecting the top 25 collaborators of Younghae Do. A scholar is included among the top collaborators of Younghae Do 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 Younghae Do. Younghae Do is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 0
3 0
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5 2
6 7
7 2
8 1
9 15
10 11
11 4
12 15
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14 0
15 2
16 65
17 120
18 19
19
Detecting response behaviors of Medaka after the treatments of heavy metal in the boundary areas
2
20
Stability of fixed points on piecewise smooth systems
0

About Younghae Do

Younghae Do is a scholar working on Statistical and Nonlinear Physics, Modeling and Simulation and Computational Mechanics, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (29 papers), Nonlinear Dynamics and Pattern Formation (17 papers) and Fluid Dynamics and Turbulent Flows (17 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.0k citations), Modeling and Simulation (189 citations) and Computational Mechanics (619 citations). Younghae Do has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include M. Sankar, Ming Tang, Ying‐Cheng Lai, Tao Zhou, Ying Liu, Juan M. López, Wei Wang, Junpyo Park, Bongsoo Jang and GyuWon Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and PLoS ONE.

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.

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