Chanseok Ryu
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
- Ecology top 10%
- Remote Sensing in Agriculture
Papers in
-
- Spectroscopy and Chemometric Analyses 26
- Ecology 22
- Remote Sensing in Agriculture 21
- Co-authors
- Masahiko Suguri (19 shared papers)Mikio Umeda (12 shared papers)Michihisa Iida (13 shared papers)Chungkeun Lee (1 shared paper)Dong Hyeon Kang (3 shared papers)Yang Gyu Ku (2 shared papers)Shela Gorinstein (1 shared paper)Si‐Bum Park (2 shared papers)
- Journals
- Precision Agriculture (3 papers)Food Chemistry (2 papers)Biosystems Engineering (2 papers)Horticulturae (1 paper)Field Crops Research (1 paper)
- Partner nations
- JapanSouth KoreaUnited States
In The Last Decade
Chanseok Ryu
46 papers receiving 400 citations
Peers
Comparison fields: 5 of 69
- Analytical Chemistry 179
- Ecology 227
- Plant Science 220
- Environmental Engineering 49
- Industrial and Manufacturing Engineering 28
Countries citing papers authored by Chanseok Ryu
This map shows the geographic impact of Chanseok Ryu'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 Chanseok Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chanseok Ryu more than expected).
Fields of papers citing papers by Chanseok Ryu
This network shows the impact of papers produced by Chanseok Ryu. 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 Chanseok Ryu. The network helps show where Chanseok Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chanseok Ryu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 65 | |
| 2 | 2009 | 34 | |
| 3 | 2017 | 31 | |
| 4 | 2010 | 23 | |
| 5 | 2021 | 17 | |
| 6 | 2021 | 16 | |
| 7 | 2017 | 16 | |
| 8 | 2023 | 14 | |
| 9 | 2020 | 14 | |
| 10 | 2015 | 13 | |
| 11 | 2013 | 13 | |
| 12 | 2018 | 10 | |
| 13 | 2015 | 10 | |
| 14 | 2005 | 9 | |
| 15 | 2018 | 9 | |
| 16 | 2014 | 8 | |
| 17 | 2011 | 8 | |
| 18 | Basal application of methane fermentation digested liquid using a slurry injector | 2009 | 7 |
| 19 | 2002 | 7 | |
| 20 | 2018 | 6 |
About Chanseok Ryu
Chanseok Ryu is a scholar working on Analytical Chemistry, Ecology, Plant Science, Industrial and Manufacturing Engineering and Atmospheric Science, having authored 46 papers that have together received 416 indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (26 papers), Remote Sensing in Agriculture (21 papers), Remote Sensing and Land Use (7 papers), Water Quality Monitoring and Analysis (7 papers), Smart Agriculture and AI (7 papers), Leaf Properties and Growth Measurement (6 papers), Agriculture, Soil, Plant Science (3 papers) and Tea Polyphenols and Effects (3 papers). The work is most often cited by research in Analytical Chemistry (179 citations), Ecology (227 citations), Plant Science (220 citations), Environmental Engineering (49 citations) and Industrial and Manufacturing Engineering (28 citations). Chanseok Ryu has collaborated with scholars based in Japan, South Korea and United States. Frequent co-authors include Masahiko Suguri, Mikio Umeda, Michihisa Iida, Chungkeun Lee, Dong Hyeon Kang, Yang Gyu Ku, Shela Gorinstein, Si‐Bum Park, Martin Polovka and Seong‐Heon Kim. Their work appears in journals such as Precision Agriculture, Food Chemistry, Biosystems Engineering, Horticulturae and Field Crops Research.
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.