Chanseok Ryu

511 total citations
46 papers, 416 citations indexed

About

Chanseok Ryu is a scholar working on Analytical Chemistry, Ecology and Plant Science. According to data from OpenAlex, Chanseok Ryu has authored 46 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Analytical Chemistry, 22 papers in Ecology and 16 papers in Plant Science. Recurrent topics in Chanseok Ryu's work include Spectroscopy and Chemometric Analyses (26 papers), Remote Sensing in Agriculture (21 papers) and Remote Sensing and Land Use (7 papers). Chanseok Ryu is often cited by papers focused on Spectroscopy and Chemometric Analyses (26 papers), Remote Sensing in Agriculture (21 papers) and Remote Sensing and Land Use (7 papers). Chanseok Ryu collaborates with scholars based in Japan, South Korea and United States. Chanseok Ryu's co-authors include Masahiko Suguri, Mikio Umeda, Michihisa Iida, Chungkeun Lee, Dong Hyeon Kang, Yang Gyu Ku, Martin Polovka, Seong‐Heon Kim, Jacek Namieśnik and Si Young Lee and has published in prestigious journals such as Food Chemistry, Journal of Allergy and Clinical Immunology and Sensors.

In The Last Decade

Chanseok Ryu

46 papers receiving 400 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chanseok Ryu Japan 11 227 220 179 49 37 46 416
Alireza Pourreza United States 13 172 0.8× 354 1.6× 157 0.9× 82 1.7× 34 0.9× 37 539
Renato Herrig Furlanetto Brazil 15 285 1.3× 300 1.4× 219 1.2× 139 2.8× 33 0.9× 42 557
Dandan Duan China 11 131 0.6× 110 0.5× 187 1.0× 30 0.6× 40 1.1× 25 336
Sourav Bhadra United States 9 328 1.4× 350 1.6× 188 1.1× 94 1.9× 54 1.5× 16 584
Lujie Xiao China 13 302 1.3× 246 1.1× 202 1.1× 132 2.7× 58 1.6× 46 524
Alwaseela Abdalla China 13 157 0.7× 320 1.5× 132 0.7× 54 1.1× 27 0.7× 23 550
Jingbo Li China 12 167 0.7× 206 0.9× 78 0.4× 71 1.4× 57 1.5× 29 408
Stien Mertens Belgium 7 197 0.9× 251 1.1× 147 0.8× 26 0.5× 16 0.4× 11 346
Sahameh Shafiee Norway 9 110 0.5× 114 0.5× 197 1.1× 44 0.9× 29 0.8× 16 445

Countries citing papers authored by Chanseok Ryu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Chanseok Ryu

This figure shows the co-authorship network connecting the top 25 collaborators of Chanseok Ryu. A scholar is included among the top collaborators of Chanseok Ryu 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 Chanseok Ryu. Chanseok Ryu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
3.
Park, Ki‐Su, et al.. (2023). Estimation of the Total Nonstructural Carbohydrate Concentration in Apple Trees Using Hyperspectral Imaging. Horticulturae. 9(9). 967–967. 4 indexed citations
4.
Lee, Seong-Tae, et al.. (2021). Assessment of Regression Models for Predicting Rice Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery. Remote Sensing. 13(8). 1508–1508. 16 indexed citations
5.
Ryu, Chanseok, et al.. (2021). Estimating the catechin concentrations of new shoots in green tea fields using ground-based hyperspectral imagery. Food Chemistry. 370. 130987–130987. 17 indexed citations
6.
Ryu, Chanseok, et al.. (2019). Application of Hyperspectral Imagery to Decision Tree Classifier for Assessment of Spring Potato (Solanum tuberosum) Damage by Salinity and Drought. Korean Journal of Agricultural and Forest Meteorology. 21(4). 317–326. 1 indexed citations
7.
Ryu, Chanseok, et al.. (2018). Integrating UAV Remote Sensing with GIS for Predicting Rice Grain Protein. Journal of Biosystems Engineering. 43(2). 148–159. 10 indexed citations
8.
Ryu, Chanseok, et al.. (2018). Artificial Neural Network-based Model for Predicting Moisture Content in Rice Using UAV Remote Sensing Data. National Remote Sensing Bulletin. 34(4). 611–624. 9 indexed citations
10.
Ryu, Chanseok, et al.. (2017). Estimation of rice protein content before harvest using ground-based hyperspectral imaging and region of interest analysis. Precision Agriculture. 19(4). 721–734. 16 indexed citations
11.
Kim, Seong Heon, et al.. (2017). Model Assessment Multi-temporal Monitoring of Chinese Cabbage Growth using Low Altitude Remote Sensing System. Journal of Agriculture & Life Science. 51(4). 149–160. 2 indexed citations
12.
Ryu, Chanseok, et al.. (2016). Development of an Onion Transplanter: Performance Analysis and Optimum Shape Investigation of a 4bar Link-Cam Type Transplanting Device. Journal of Agriculture & Life Science. 50(4). 213–224. 3 indexed citations
13.
Nakamura, Kimihito, et al.. (2012). Effects of Different Application Methods of Methane Fermentation Digested Liquid into the Paddy Plot on Soil Nitrogen Behavior and Rice Yield. 79(4). 265–274. 3 indexed citations
14.
Iida, Makoto, Katsuaki Ohdoi, Chanseok Ryu, & Mikio Umeda. (2009). Basal application of methane fermentation digested liquid using a slurry injector. Journal of the Japanese Society of Agricultural Machinery. 71(2). 81–87. 7 indexed citations
15.
Ryu, Chanseok, Masahiko Suguri, & Mikio Umeda. (2007). Estimation and Comparison of Nitrogen Contents Model of Rice Plant Using Remote Sensing. Journal of the Japanese Society of Agricultural Machinery. 69(3). 43–50. 3 indexed citations
16.
Ryu, Chanseok, Masahiko Suguri, Michihisa Iida, & Mikio Umeda. (2007). Validation of Rice Taste Elements Influenced by Amounts of Nitrogen Fertilizer and Estimation Using Remote Sensing. Journal of the Japanese Society of Agricultural Machinery. 69(1). 52–58. 2 indexed citations
17.
Ryu, Chanseok, et al.. (2005). Making nitrogen contents model using hyperspectral remote sensing and estimation nitrogens content by nitrogen content model. Journal of the Japanese Society of Agricultural Machinery. 67(6). 47–54. 5 indexed citations
18.
Ryu, Chanseok, et al.. (2005). Influence of Several Doses of Nitrogen Fertilizer on Rice Taste and Grain Yield. Journal of the Japanese Society of Agricultural Machinery. 67(6). 55–61. 9 indexed citations
19.
Ryu, Chanseok, Masahiko Suguri, Mikio Umeda, & Tatsuya Inamura. (2004). Estimation of Nitrogen Content of Rice Plant Using Remote Sensing Technology. Journal of the Japanese Society of Agricultural Machinery. 66(2). 85–96. 4 indexed citations
20.
Ryu, Chanseok, Michihisa Iida, Masahiko Suguri, et al.. (2004). Effect of Variable Rate Fertilizer Application Aimed at Reducing the Spatial Variability of Grain Yield on Rice Taste. Journal of the Japanese Society of Agricultural Machinery. 66(5). 49–62. 5 indexed citations

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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