Won Jun Song
Impact in
- Molecular Medicine top 5%
- Hydrogels: synthesis, properties, applications
- Polymers and Plastics top 5%
- Conducting polymers and applications
Papers in ⓘ
-
- Advanced Sensor and Energy Harvesting Materials 9
- Co-authors
- Jeong‐Yun Sun (10 shared papers)Young‐Hoon Lee (8 shared papers)Min-Gyu Lee (1 shared paper)Seol‐Ha Jeong (1 shared paper)Ji‐Ung Park (1 shared paper)Jae‐Man Park (7 shared papers)Yeonsu Jung (2 shared papers)Ho‐Young Kim (2 shared papers)
- Journals
- Advanced Materials (6 papers)Nano Energy (2 papers)Scientific Reports (1 paper)Science Advances (1 paper)Materials Today Physics (1 paper)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Won Jun Song
12 papers receiving 811 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Molecular Medicine 138
- Polymers and Plastics 227
- Biomedical Engineering 667
- Biomaterials 117
- Condensed Matter Physics 92
Countries citing papers authored by Won Jun Song
This map shows the geographic impact of Won Jun Song'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 Won Jun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Jun Song more than expected).
Fields of papers citing papers by Won Jun Song
This network shows the impact of papers produced by Won Jun Song. 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 Won Jun Song. The network helps show where Won Jun Song may publish in the future.
Co-authors
The 25 scholars most cited alongside Won Jun Song, 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 | Hydrogel soft robotics Hit paper breakdown → | 2020 | 405 |
| 2 | 2020 | 163 | |
| 3 | 2018 | 78 | |
| 4 | 2020 | 56 | |
| 5 | 2022 | 55 | |
| 6 | 2021 | 25 | |
| 7 | 2024 | 18 | |
| 8 | 2024 | 17 | |
| 9 | 2023 | 3 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 1 | |
| 13 | 2025 | 0 |
About Won Jun Song
Won Jun Song is a scholar working on Biomedical Engineering, Molecular Medicine, Human-Computer Interaction, Condensed Matter Physics and Mechanical Engineering, having authored 13 papers that have together received 823 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (9 papers), Modular Robots and Swarm Intelligence (3 papers), Tactile and Sensory Interactions (3 papers), Advanced Materials and Mechanics (2 papers), Conducting polymers and applications (2 papers), Micro and Nano Robotics (2 papers), Innovative Energy Harvesting Technologies (1 paper) and Food Supply Chain Traceability (1 paper). The work is most often cited by research in Molecular Medicine (138 citations), Polymers and Plastics (227 citations), Biomedical Engineering (667 citations), Biomaterials (117 citations) and Condensed Matter Physics (92 citations). Won Jun Song has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Jeong‐Yun Sun, Young‐Hoon Lee, Min-Gyu Lee, Seol‐Ha Jeong, Ji‐Ung Park, Jae‐Man Park, Yeonsu Jung, Ho‐Young Kim, Yong‐Woo Kang and Yong‐Lae Park. Their work appears in journals such as Advanced Materials, Nano Energy, Scientific Reports, Science Advances and Materials Today Physics.
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.