Hee‐Sup Shin
- Biomedical Engineering top 10%
- Cognitive Neuroscience top 10%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Electrical and Electronic Engineering
- Co-authors
- Yong‐Lae ParkVincent DuchaineJean-Baptiste ChossatSarah BergbreiterDmitry BerensonSung‐Hwan JangJaiyoung RyuCarmel Majidi
- Topics
- Advanced Sensor and Energy Harvesting Materials (15 papers)Tactile and Sensory Interactions (5 papers)Biomimetic flight and propulsion mechanisms (4 papers)
- Journals
- Proceedings of the National Academy of SciencesNature CommunicationsApplied Physics Letters
- Partner nations
- United StatesSouth KoreaPhilippines
In The Last Decade
Hee‐Sup Shin
17 papers receiving 356 citations
Peers
Comparison fields: 5 of 46
- Biomedical Engineering 311
- Cognitive Neuroscience 105
- Mechanical Engineering 74
- Control and Systems Engineering 71
- Electrical and Electronic Engineering 54
Countries citing papers authored by Hee‐Sup Shin
This map shows the geographic impact of Hee‐Sup Shin'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 Hee‐Sup Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hee‐Sup Shin more than expected).
Fields of papers citing papers by Hee‐Sup Shin
This network shows the impact of papers produced by Hee‐Sup Shin. 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 Hee‐Sup Shin. The network helps show where Hee‐Sup Shin may publish in the future.
Co-authorship network of co-authors of Hee‐Sup Shin
This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Sup Shin. A scholar is included among the top collaborators of Hee‐Sup Shin 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 Hee‐Sup Shin. Hee‐Sup Shin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 6 | |
| 7 | 37 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 23 | |
| 11 | 12 | |
| 12 | 11 | |
| 13 | 7 | |
| 14 | 45 | |
| 15 | 106 | |
| 16 | 10 | |
| 17 | 4 | |
| 18 | 86 |
About Hee‐Sup Shin
Hee‐Sup Shin is a scholar working on Biomedical Engineering, Human-Computer Interaction and Bioengineering, having authored 18 papers that have together received 365 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (15 papers), Tactile and Sensory Interactions (5 papers) and Biomimetic flight and propulsion mechanisms (4 papers). The work is most often cited by research in Biomedical Engineering (311 citations), Bioengineering (38 citations) and Cognitive Neuroscience (105 citations). Hee‐Sup Shin has collaborated with scholars based in United States, South Korea and Philippines. Frequent co-authors include Yong‐Lae Park, Vincent Duchaine, Jean-Baptiste Chossat, Sarah Bergbreiter, Dmitry Berenson, Sung‐Hwan Jang, Jaiyoung Ryu, Carmel Majidi, J. Sean Humbert and Taekyoung Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and Applied Physics Letters.
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.