Youngsu Cha
Impact in
- Biomedical Engineering top 2%
- Advanced Sensor and Energy Harvesting Materials
- Dielectric materials and actuators
- Soft Robotics and Applications
- Human-Computer Interaction top 5%
Papers in
-
- Advanced Sensor and Energy Harvesting Materials 79
- Dielectric materials and actuators 37
- Soft Robotics and Applications 29
-
- Innovative Energy Harvesting Technologies 26
- Advanced Materials and Mechanics 11
- Modular Robots and Swarm Intelligence 10
- Co-authors
- Maurizio Porfiri (34 shared papers)Hubert Kim (5 shared papers)Jun-Sik Kim (4 shared papers)Jung-Min Park (4 shared papers)Yeunhee Kim (1 shared paper)Kahye Song (9 shared papers)Sean D. Peterson (5 shared papers)Matteo Aureli (2 shared papers)
- Journals
- Smart Materials and Structures (16 papers)Sensors and Actuators A Physical (10 papers)IEEE Robotics and Automation Letters (5 papers)IEEE Access (5 papers)Scientific Reports (5 papers)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Youngsu Cha
111 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Biomedical Engineering 1.3k
- Human-Computer Interaction 113
- Mechanical Engineering 708
- Cognitive Neuroscience 262
- Polymers and Plastics 172
Countries citing papers authored by Youngsu Cha
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
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.
All Works
Showing the 20 most-cited of 115 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 123 | |
| 2 | 2015 | 88 | |
| 3 | 2019 | 78 | |
| 4 | 2020 | 76 | |
| 5 | 2014 | 74 | |
| 6 | 2012 | 73 | |
| 7 | 2013 | 65 | |
| 8 | 2013 | 61 | |
| 9 | 2020 | 57 | |
| 10 | 2018 | 48 | |
| 11 | 2017 | 47 | |
| 12 | 2016 | 44 | |
| 13 | 2017 | 42 | |
| 14 | 2019 | 41 | |
| 15 | 2013 | 40 | |
| 16 | 2021 | 33 | |
| 17 | 2013 | 31 | |
| 18 | 2013 | 29 | |
| 19 | 2012 | 28 | |
| 20 | 2013 | 27 |
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 115 papers that have together received 1.8k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (79 papers), Dielectric materials and actuators (37 papers), Soft Robotics and Applications (29 papers), Innovative Energy Harvesting Technologies (26 papers), Tactile and Sensory Interactions (19 papers), Advanced Materials and Mechanics (11 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 (113 citations), Mechanical Engineering (708 citations), Cognitive Neuroscience (262 citations) and Polymers and Plastics (172 citations). Youngsu Cha has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Maurizio Porfiri, Hubert Kim, Jun-Sik Kim, Jung-Min Park, Yeunhee Kim, Kahye Song, Sean D. Peterson, Matteo Aureli, Sang–Rok Oh and Keehoon Kim. Their work appears in journals such as Smart Materials and Structures, Sensors and Actuators A Physical, IEEE Robotics and Automation Letters, IEEE Access and Scientific Reports.
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.