Youngsu Cha

2.1k citations
111 papers · 1.7k · h-index 21

Impact in

Papers in

    • Advanced Sensor and Energy Harvesting Materials 77
    • Dielectric materials and actuators 35
    • Soft Robotics and Applications 29
    • Innovative Energy Harvesting Technologies 26
    • Advanced Materials and Mechanics 10
    • Modular Robots and Swarm Intelligence 10

Youngsu Cha

105 papers receiving 1.6k citations

Peers

Youngsu Cha
Comparison fields: 5 of 99
  • Biomedical Engineering 1.3k
  • Human-Computer Interaction 111
  • Mechanical Engineering 675
  • Cognitive Neuroscience 253
  • Polymers and Plastics 162
Replace Uikyum Kim with:
Uikyum Kim South Korea
Yingzhong Tian China
Hongbo Wang China
Biao Wang China
Dylan Shah United States
Michelle C. Yuen United States
Benjamin Shih United States
Vanessa Sanchez United States
Ja Choon Koo South Korea
Moritz A. Graule United States
Youngsu Cha relative to Uikyum Kim South Korea Uikyum Kim's profile →
Citations per field
00.5×1.5×2.2×
Uikyum Kim · 1×
Citations per year

Countries citing papers authored by Youngsu Cha

Since Specialization
Citations

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

Fields of papers citing papers by Youngsu Cha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Youngsu Cha, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Youngsu Cha Line = papers co-authored together Youngsu Cha links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019117
2 201583
3 201975
4 202074
5 201271
6 201469
7 201364
8 201358
9 202053
10 201848
11 201745
12 201741
13 201641
14 201339
15 201937
16 202133
17 201329
18 201328
19 201325
20 201224

About Youngsu Cha

Youngsu Cha is a scholar working on Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 111 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (77 papers), Dielectric materials and actuators (35 papers), Soft Robotics and Applications (29 papers), Innovative Energy Harvesting Technologies (26 papers), Tactile and Sensory Interactions (19 papers), Advanced Materials and Mechanics (10 papers), Modular Robots and Swarm Intelligence (10 papers) and Robot Manipulation and Learning (9 papers). The work is most often cited by research in Biomedical Engineering (1.3k citations), Human-Computer Interaction (111 citations), Mechanical Engineering (675 citations), Cognitive Neuroscience (253 citations) and Polymers and Plastics (162 citations). Youngsu Cha has collaborated with scholars based in South Korea, United States and Canada. Frequent co-authors include Maurizio Porfiri, Hubert Kim, Jung-Min Park, Jun-Sik Kim, Sean D. Peterson, Matteo Aureli, Sang–Rok Oh, Keehoon Kim, Filippo Cellini and Sohyun Kim. Their work appears in journals such as Smart Materials and Structures, Sensors and Actuators A Physical, Scientific Reports, IEEE Access and IEEE/ASME Transactions on Mechatronics.

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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