Youngkeun Song
- Global and Planetary Change top 5%
- Ecology top 10%
- Environmental Engineering top 5%
- Health, Toxicology and Mutagenesis top 10%
- Nature and Landscape Conservation top 10%
- Co-authors
- Youngryel RyuWanmo KangYingnan LiHyungsuk KimmYukihiro MORIMOTOSung–Ho KilJunichi ImanishiJames H. Thorne
- Topics
- Land Use and Ecosystem Services (21 papers)Urban Green Space and Health (14 papers)Remote Sensing in Agriculture (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaRemote Sensing of EnvironmentIEEE Transactions on Geoscience and Remote Sensing
- Partner nations
- South KoreaJapanChina
In The Last Decade
Youngkeun Song
49 papers receiving 519 citations
Peers
Comparison fields: 5 of 69
- Global and Planetary Change 285
- Ecology 254
- Environmental Engineering 232
- Health, Toxicology and Mutagenesis 111
- Nature and Landscape Conservation 76
Countries citing papers authored by Youngkeun Song
This map shows the geographic impact of Youngkeun 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 Youngkeun Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngkeun Song more than expected).
Fields of papers citing papers by Youngkeun Song
This network shows the impact of papers produced by Youngkeun 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 Youngkeun Song. The network helps show where Youngkeun Song may publish in the future.
Co-authorship network of co-authors of Youngkeun Song
This figure shows the co-authorship network connecting the top 25 collaborators of Youngkeun Song. A scholar is included among the top collaborators of Youngkeun Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Youngkeun Song. Youngkeun Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 3 | |
| 9 | 5 | |
| 10 | 41 | |
| 11 | Identification of Freshwater Fish Species in Korea Using Environmental DNA Technique – From the Experiment at the Freshwater Fish Ecological Learning Center in Yangpyeong, Gyeonggi Do – | 2 |
| 12 | 4 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 3 | |
| 16 | 0 | |
| 17 | 25 | |
| 18 | 1 | |
| 19 | 9 | |
| 20 | Importance of the green spectral region for remote assessment of tree vigor condition: a case study of Cerasus species | 1 |
About Youngkeun Song
Youngkeun Song is a scholar working on Environmental Engineering, Global and Planetary Change and Ecological Modeling, having authored 53 papers that have together received 542 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (21 papers), Urban Green Space and Health (14 papers) and Remote Sensing in Agriculture (13 papers). The work is most often cited by research in Environmental Engineering (232 citations), Global and Planetary Change (285 citations) and Ecological Modeling (46 citations). Youngkeun Song has collaborated with scholars based in South Korea, Japan and China. Frequent co-authors include Youngryel Ryu, Wanmo Kang, Yingnan Li, Hyungsuk Kimm, Yukihiro MORIMOTO, Sung–Ho Kil, Junichi Imanishi, James H. Thorne, J. H. Kim and Keiko Ioki. Their work appears in journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.
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.