Yoo-Shin Kim
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery 2
- Pharmaceutical Science top 5%
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- Nanoplatforms for cancer theranostics 3
- Ultrasound and Hyperthermia Applications 2
- Photoacoustic and Ultrasonic Imaging 2
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- Advanced Battery Materials and Technologies 2
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- RNA Interference and Gene Delivery 2
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- Neural Networks and Applications 2
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- Image and Signal Denoising Methods 1
- Co-authors
- Hesson ChungSeo Young JeongRang‐Woon ParkJae Hyung ParkMinsu LeeIn‐San KimIck Chan KwonSeunglee Kwon
- Partner nations
- South KoreaUnited StatesRussia
In The Last Decade
Yoo-Shin Kim
13 papers receiving 397 citations
Peers
Comparison fields: 5 of 99
- Biomaterials 190
- Pharmaceutical Science 81
- Molecular Medicine 32
- Surfaces, Coatings and Films 36
- Biomedical Engineering 127
Countries citing papers authored by Yoo-Shin Kim
This map shows the geographic impact of Yoo-Shin Kim'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 Yoo-Shin Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoo-Shin Kim more than expected).
Fields of papers citing papers by Yoo-Shin Kim
This network shows the impact of papers produced by Yoo-Shin Kim. 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 Yoo-Shin Kim. The network helps show where Yoo-Shin Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoo-Shin Kim, 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 | 2019 | 5 | |
| 3 | 2015 | 35 | |
| 4 | 2015 | 1 | |
| 5 | 2014 | 40 | |
| 6 | Developing a public-centered government policy acceptance and diffusion model from a public relations perspective : An exploratory study on three different types of government policies | 2013 | 1 |
| 7 | Flora and Vegetation of Mt. Gwaebyung and Galmi-bong, Gangwon Province, Korea | 2012 | 2 |
| 8 | 2012 | 0 | |
| 9 | 2012 | 4 | |
| 10 | Preservice Elementary Teacher Mental Models about Astronomical Phenomena: Seasons and Moon Phases | 2006 | 6 |
| 11 | 2005 | 236 | |
| 12 | A Selective Deinterlacing Based on the Local Feature of Image | 2004 | 0 |
| 13 | 2003 | 0 | |
| 14 | 2002 | 34 | |
| 15 | 2001 | 30 | |
| 16 | 2000 | 18 | |
| 17 | Economic power dispatch for piecewise quadratic cost function using Hopfield neural network | 1991 | 1 |
About Yoo-Shin Kim
Yoo-Shin Kim is a scholar working on Energy Engineering and Power Technology, Ecological Modeling and Media Technology, having authored 17 papers that have together received 417 indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (3 papers), Advanced Battery Materials and Technologies (2 papers), RNA Interference and Gene Delivery (2 papers), Ultrasound and Hyperthermia Applications (2 papers), Photoacoustic and Ultrasonic Imaging (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Neural Networks and Applications (2 papers) and Image and Signal Denoising Methods (1 paper). The work is most often cited by research in Biomaterials (190 citations), Pharmaceutical Science (81 citations) and Molecular Medicine (32 citations). Yoo-Shin Kim has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Hesson Chung, Seo Young Jeong, Rang‐Woon Park, Jae Hyung Park, Minsu Lee, In‐San Kim, Ick Chan Kwon, Seunglee Kwon, Ji-Hyun Kim and Brian E. O’Neill. Their work appears in journals such as Biomaterials, Cancer Research and Environmental Pollution.
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.