Phillip Won
- Biomedical Engineering top 0.5%
- Advanced Sensor and Energy Harvesting Materials 34
- Dielectric materials and actuators 5
- Polymers and Plastics top 2%
- Conducting polymers and applications 6
- Cognitive Neuroscience top 5%
- Tactile and Sensory Interactions 8
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- Nanomaterials and Printing Technologies 12
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- Advanced Materials and Mechanics 14
- Modular Robots and Swarm Intelligence 2
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- Micro and Nano Robotics 4
- Co-authors
- Seung Hwan KoSukjoon HongInho HaJinhyeong KwonHabeom LeeHyunmin ChoJinhwan LeeJoonhwa Choi
- Journals
- Advanced Functional Materials (6 papers)Advanced Materials Technologies (4 papers)ACS Applied Materials & Interfaces (3 papers)
- Partner nations
- South KoreaUnited StatesPuerto Rico
In The Last Decade
Phillip Won
41 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Biomedical Engineering 3.0k
- Polymers and Plastics 872
- Cognitive Neuroscience 657
- Electronic, Optical and Magnetic Materials 502
- Electrical and Electronic Engineering 1.5k
Countries citing papers authored by Phillip Won
This map shows the geographic impact of Phillip Won'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 Phillip Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Phillip Won more than expected).
Fields of papers citing papers by Phillip Won
This network shows the impact of papers produced by Phillip Won. 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 Phillip Won. The network helps show where Phillip Won may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Phillip Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 27 | |
| 2 | 2023 | 22 | |
| 3 | 2022 | 8 | |
| 4 | 2022 | 56 | |
| 5 | 2021 | 81 | |
| 6 | 2021 | 180 | |
| 7 | 2020 | 8 | |
| 8 | 2020 | 1 | |
| 9 | A deep-learned skin sensor decoding the epicentral human motionsbreakdown → | 2020 | 243 |
| 10 | 2020 | 211 | |
| 11 | 2020 | 45 | |
| 12 | 2020 | 105 | |
| 13 | 2019 | 73 | |
| 14 | 2019 | 14 | |
| 15 | 2017 | 35 | |
| 16 | 2017 | 291 | |
| 17 | 2017 | 105 | |
| 18 | 2017 | 224 | |
| 19 | 2016 | 81 | |
| 20 | 2016 | 138 |
About Phillip Won
Phillip Won is a scholar working on Acoustics and Ultrasonics, Biomedical Engineering and Polymers and Plastics, having authored 42 papers that have together received 3.9k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (34 papers), Advanced Materials and Mechanics (14 papers), Nanomaterials and Printing Technologies (12 papers), Tactile and Sensory Interactions (8 papers), Conducting polymers and applications (6 papers), Dielectric materials and actuators (5 papers), Micro and Nano Robotics (4 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Biomedical Engineering (3.0k citations), Polymers and Plastics (872 citations) and Cognitive Neuroscience (657 citations). Phillip Won has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Seung Hwan Ko, Sukjoon Hong, Inho Ha, Jinhyeong Kwon, Habeom Lee, Hyunmin Cho, Jinhwan Lee, Joonhwa Choi, Kyun Kyu Kim and Jinwook Jung. Their work appears in journals such as Advanced Functional Materials, Advanced Materials Technologies, ACS Applied Materials & Interfaces, Advanced Materials and Nature Communications.
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.