Young-Min Song

About

Young-Min Song is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Young-Min Song has authored 15 papers receiving a total of 258 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Biomedical Engineering and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Young-Min Song’s work include Video Surveillance and Tracking Methods (7 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Plasmonics for Photovoltaic Devices (3 papers). Young-Min Song is often cited by papers focused on Video Surveillance and Tracking Methods (7 papers), Advanced Sensor and Energy Harvesting Materials (4 papers) and Plasmonics for Photovoltaic Devices (3 papers). Young-Min Song collaborates with scholars based in South Korea, Australia and Canada. Young-Min Song's co-authors include Moongu Jeon, Kwangjin Yoon, Young-Chul Yoon, Du Yong Kim, Byoung-Dai Lee, Nojun Kwak, Namgi Kim, Younghae Do, Mu Sook Lee and Kin Choong Yow and has published in prestigious journals such as ACS Applied Materials & Interfaces, IEEE Access and Information Sciences.

In The Last Decade

Co-authorship network of co-authors of Young-Min Song i

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Fields of papers citing papers by Young-Min Song

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Young-Min 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 Young-Min Song. The network helps show where Young-Min Song may publish in the future.

Countries citing papers authored by Young-Min Song

Since Specialization

Citations

This map shows the geographic impact of Young-Min 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 Young-Min Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Min Song more than expected).

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.

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