Sung-Hyuk Song

2.1k citations
42 papers · 1.7k indexed · h-index 15
Topics
Advanced Materials and Mechanics (11 papers)Soft Robotics and Applications (10 papers)Modular Robots and Swarm Intelligence (7 papers)

In The Last Decade

Sung-Hyuk Song

37 papers receiving 1.6k citations

Peers

Sung-Hyuk Song
Comparison fields: 5 of 88
  • Biomedical Engineering 1.1k
  • Mechanical Engineering 685
  • Materials Chemistry 388
  • Condensed Matter Physics 317
  • Aerospace Engineering 256
Replace Yonas Tadesse with:
Yonas Tadesse United States
Hugo Rodrigue South Korea
Min‐Woo Han South Korea
Luquan Ren China
Daniel M. Aukes United States
Honglie Song China
Yichao Tang United States
Heng Zhang China
Yiming Liang China
Sung-Hyuk Song relative to Yonas Tadesse United States Yonas Tadesse's profile →
Citations per field
00.5×3.4×
Yonas Tadesse · 1×
Citations per year

Countries citing papers authored by Sung-Hyuk Song

Since Specialization
Citations

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

Fields of papers citing papers by Sung-Hyuk Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sung-Hyuk 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 Sung-Hyuk Song. The network helps show where Sung-Hyuk Song may publish in the future.

Co-authorship network of co-authors of Sung-Hyuk Song

This figure shows the co-authorship network connecting the top 25 collaborators of Sung-Hyuk Song. A scholar is included among the top collaborators of Sung-Hyuk 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 Sung-Hyuk Song. Sung-Hyuk Song 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 0
2 1
3 14
4 1
5 2
6 4
7 0
8 0
9 1
10 1
11 238
12 7
13 1
14 117
15 89
16 66
17 201
18
SMA-Based Soft Morphing Actuators with Flexible and Rigid Segments
1
19
N-channel Single Crystal Si Nanoparticle Schottky Barrier Transistor
1
20 5

About Sung-Hyuk Song

Sung-Hyuk Song is a scholar working on Biomedical Engineering, Mechanical Engineering and Aerospace Engineering, having authored 42 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Materials and Mechanics (11 papers), Soft Robotics and Applications (10 papers) and Modular Robots and Swarm Intelligence (7 papers). The work is most often cited by research in Condensed Matter Physics (317 citations), Biomedical Engineering (1.1k citations) and Mechanical Engineering (685 citations). Sung-Hyuk Song has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sung‐Hoon Ahn, Hugo Rodrigue, Min‐Woo Han, Won‐Shik Chu, Hyung-Jung Kim, Wei Wang, Hyung‐Il Kim, Kyung‐Tae Lee, Min‐Soo Kim and Jang-Yeob Lee. Their work appears in journals such as Biomaterials, Scientific Reports and IEEE Transactions on Industrial Electronics.

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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