Youngdo Shin
Impact in
- Polymers and Plastics top 5%
- Conducting polymers and applications
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials
- Dielectric materials and actuators
- Muscle activation and electromyography studies
Papers in
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- Conducting polymers and applications 6
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- Advanced Sensor and Energy Harvesting Materials 7
- Co-authors
- Sudeep Sharma (7 shared papers)Jae Yeong Park (7 shared papers)Kumar Shrestha (6 shared papers)Trilochan Bhatta (6 shared papers)S M Sohel Rana (5 shared papers)Sanghyun Lee (4 shared papers)Dongkyun Kim (3 shared papers)Gagan Bahadur Pradhan (4 shared papers)
- Journals
- Advanced Functional Materials (3 papers)Nano Energy (2 papers)Nano Today (1 paper)Nano Research (1 paper)Bioorganic & Medicinal Chemistry Letters (1 paper)
- Partner nations
- South Korea
In The Last Decade
Youngdo Shin
8 papers receiving 442 citations
Peers
Comparison fields: 5 of 49
- Polymers and Plastics 242
- Biomedical Engineering 392
- Electronic, Optical and Magnetic Materials 99
- Cognitive Neuroscience 90
- Human-Computer Interaction 17
Countries citing papers authored by Youngdo Shin
This map shows the geographic impact of Youngdo 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 Youngdo Shin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngdo Shin more than expected).
Fields of papers citing papers by Youngdo Shin
This network shows the impact of papers produced by Youngdo 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 Youngdo Shin. The network helps show where Youngdo Shin may publish in the future.
Co-authors
The 21 scholars most cited alongside Youngdo Shin, 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 | 2022 | 137 | |
| 2 | 2022 | 95 | |
| 3 | 2022 | 73 | |
| 4 | 2022 | 62 | |
| 5 | 2022 | 36 | |
| 6 | 2023 | 36 | |
| 7 | 2023 | 5 | |
| 8 | 2022 | 3 |
About Youngdo Shin
Youngdo Shin is a scholar working on Polymers and Plastics, Biomedical Engineering, Cognitive Neuroscience, Electronic, Optical and Magnetic Materials and Automotive Engineering, having authored 8 papers that have together received 447 indexed citations. Recurring topics across this work include Advanced Sensor and Energy Harvesting Materials (7 papers), Conducting polymers and applications (6 papers), Tactile and Sensory Interactions (3 papers), Supercapacitor Materials and Fabrication (2 papers), Neuroscience and Neural Engineering (1 paper), PI3K/AKT/mTOR signaling in cancer (1 paper), Advanced Battery Technologies Research (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Polymers and Plastics (242 citations), Biomedical Engineering (392 citations), Electronic, Optical and Magnetic Materials (99 citations), Cognitive Neuroscience (90 citations) and Human-Computer Interaction (17 citations). Youngdo Shin has collaborated with scholars based in South Korea. Frequent co-authors include Sudeep Sharma, Jae Yeong Park, Kumar Shrestha, Trilochan Bhatta, S M Sohel Rana, Sanghyun Lee, Dongkyun Kim, Gagan Bahadur Pradhan, Md Sharifuzzaman and Pukar Maharjan. Their work appears in journals such as Advanced Functional Materials, Nano Energy, Nano Today, Nano Research and Bioorganic & Medicinal Chemistry 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.