Jaewan Mun
- Polymers and Plastics top 0.2%
- Conducting polymers and applications 18
- Polymer composites and self-healing 2
- Biomedical Engineering top 0.2%
- Advanced Sensor and Energy Harvesting Materials 19
- Cognitive Neuroscience top 2%
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- Organic Electronics and Photovoltaics 11
- Advanced Memory and Neural Computing 3
- Bioengineering top 2%
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- Photoreceptor and optogenetics research 3
- Neuroscience and Neural Engineering 2
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- Advanced Materials and Mechanics 2
- Co-authors
- Zhenan BaoJeffrey B.‐H. TokJiheong KangSteve ParkSeongjun ParkSe Young KwonJin Young OhYeongin Kim
- Partner nations
- United StatesSouth KoreaJapan
In The Last Decade
Jaewan Mun
26 papers receiving 5.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Polymers and Plastics 3.3k
- Biomedical Engineering 4.3k
- Cognitive Neuroscience 1.1k
- Electrical and Electronic Engineering 2.1k
- Bioengineering 186
Countries citing papers authored by Jaewan Mun
This map shows the geographic impact of Jaewan Mun'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 Jaewan Mun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaewan Mun more than expected).
Fields of papers citing papers by Jaewan Mun
This network shows the impact of papers produced by Jaewan Mun. 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 Jaewan Mun. The network helps show where Jaewan Mun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaewan Mun, 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 | 4 | |
| 2 | 2022 | 131 | |
| 3 | 2022 | 83 | |
| 4 | 2021 | 111 | |
| 5 | 2021 | 155 | |
| 6 | 2021 | 3 | |
| 7 | 2020 | 115 | |
| 8 | Artificial multimodal receptors based on ion relaxation dynamicsbreakdown → | 2020 | 484 |
| 9 | 2020 | 68 | |
| 10 | 2019 | 228 | |
| 11 | 2019 | 160 | |
| 12 | Electronic Skin: Recent Progress and Future Prospects for Skin‐Attachable Devices for Health Monitoring, Robotics, and Prostheticsbreakdown → | 2019 | 1382 |
| 13 | 2019 | 123 | |
| 14 | An integrated self-healable electronic skin system fabricated via dynamic reconstruction of a nanostructured conducting networkbreakdown → | 2018 | 837 |
| 15 | 2018 | 49 | |
| 16 | 2017 | 101 | |
| 17 | 2017 | 9 | |
| 18 | 2014 | 10 | |
| 19 | Global R&D Trends of GaN Electronic Devices | 2012 | 0 |
| 20 | 1991 | 0 |
About Jaewan Mun
Jaewan Mun is a scholar working on Polymers and Plastics, Biomedical Engineering, Toxicology, Electrical and Electronic Engineering and Cellular and Molecular Neuroscience, having authored 28 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (19 papers), Conducting polymers and applications (18 papers), Organic Electronics and Photovoltaics (11 papers), Photoreceptor and optogenetics research (3 papers), Advanced Memory and Neural Computing (3 papers), Advanced Materials and Mechanics (2 papers), Polymer composites and self-healing (2 papers) and Neuroscience and Neural Engineering (2 papers). The work is most often cited by research in Polymers and Plastics (3.3k citations), Biomedical Engineering (4.3k citations), Cognitive Neuroscience (1.1k citations), Electrical and Electronic Engineering (2.1k citations) and Bioengineering (186 citations). Jaewan Mun has collaborated with scholars based in United States, South Korea and Japan. Frequent co-authors include Zhenan Bao, Jeffrey B.‐H. Tok, Jiheong Kang, Steve Park, Seongjun Park, Se Young Kwon, Jin Young Oh, Yeongin Kim, Toru Katsumata and Ging‐Ji Nathan Wang. Their work appears in journals such as Advanced Materials, Advanced Functional Materials, ACS Nano, Nature Nanotechnology and Macromolecules.
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.