Jonghan Ko

2.1k total citations
84 papers, 1.6k citations indexed

About

Jonghan Ko is a scholar working on Plant Science, Global and Planetary Change and Ecology. According to data from OpenAlex, Jonghan Ko has authored 84 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Plant Science, 42 papers in Global and Planetary Change and 37 papers in Ecology. Recurrent topics in Jonghan Ko's work include Remote Sensing in Agriculture (37 papers), Plant Water Relations and Carbon Dynamics (27 papers) and Plant responses to elevated CO2 (15 papers). Jonghan Ko is often cited by papers focused on Remote Sensing in Agriculture (37 papers), Plant Water Relations and Carbon Dynamics (27 papers) and Plant responses to elevated CO2 (15 papers). Jonghan Ko collaborates with scholars based in South Korea, United States and Germany. Jonghan Ko's co-authors include Giovanni Piccinni, Seungtaek Jeong, Jong‐Min Yeom, Thomas Marek, John Tenhunen, Andrew J. Kurdila, Terry A. Howell, Wei Xue, Terry A. Howell and Othon K. Rediniotis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Jonghan Ko

78 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonghan Ko South Korea 22 776 637 493 371 346 84 1.6k
Samuel Buis France 17 417 0.5× 354 0.6× 293 0.6× 193 0.5× 189 0.5× 38 962
S. S. Ray India 23 586 0.8× 412 0.6× 723 1.5× 196 0.5× 221 0.6× 72 1.6k
Andrew Davidson Canada 29 435 0.6× 843 1.3× 1.0k 2.1× 240 0.6× 107 0.3× 58 2.1k
Ruixiu Sui United States 21 621 0.8× 315 0.5× 285 0.6× 108 0.3× 495 1.4× 80 1.3k
Jean-Paul Lhomme France 29 481 0.6× 1.6k 2.4× 267 0.5× 118 0.3× 245 0.7× 64 2.0k
Daniel K. Fisher United States 24 817 1.1× 520 0.8× 128 0.3× 125 0.3× 426 1.2× 67 1.7k
Elizabeth A. Walter‐Shea United States 21 668 0.9× 1.3k 2.1× 1.1k 2.2× 128 0.3× 231 0.7× 56 2.1k
R. Troy Peters United States 22 793 1.0× 549 0.9× 245 0.5× 67 0.2× 626 1.8× 97 1.5k
Blaine L. Blad United States 27 1.0k 1.3× 1.4k 2.1× 1.0k 2.1× 93 0.3× 204 0.6× 73 2.3k
José L. Chávez United States 26 778 1.0× 1.8k 2.8× 653 1.3× 113 0.3× 812 2.3× 102 2.6k

Countries citing papers authored by Jonghan Ko

Since Specialization
Citations

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

Fields of papers citing papers by Jonghan Ko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonghan Ko. 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 Jonghan Ko. The network helps show where Jonghan Ko may publish in the future.

Co-authorship network of co-authors of Jonghan Ko

This figure shows the co-authorship network connecting the top 25 collaborators of Jonghan Ko. A scholar is included among the top collaborators of Jonghan Ko 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 Jonghan Ko. Jonghan Ko 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
1.
Jeong, Seungtaek, et al.. (2024). Deep learning-enhanced remote sensing-integrated crop modeling for rice yield prediction. Ecological Informatics. 84. 102886–102886. 10 indexed citations
2.
Yu, J., et al.. (2024). Enhanced Short-Term Prediction of Solar Radiation Using HRNet Model With Geostationary Satellite Data. IEEE Geoscience and Remote Sensing Letters. 21. 1–5. 2 indexed citations
3.
Jeong, Seungtaek, et al.. (2023). Development of a Radiometric Calibration Method for Multispectral Images of Croplands Obtained with a Remote-Controlled Aerial System. Remote Sensing. 15(5). 1408–1408. 7 indexed citations
4.
5.
Xue, Wei, Dandan Liu, Tiina Tosens, et al.. (2023). Cell wall thickness has phylogenetically consistent effects on the photosynthetic nitrogen‐use efficiency of terrestrial plants. Plant Cell & Environment. 46(8). 2323–2336. 12 indexed citations
6.
7.
Ko, Jonghan, et al.. (2022). Remote Sensing-Based Evaluation of Heat Stress Damage on Paddy Rice Using NDVI and PRI Measured at Leaf and Canopy Scales. Agronomy. 12(8). 1972–1972. 7 indexed citations
8.
Xue, Wei, Seungtaek Jeong, Jonghan Ko, & Jong‐Min Yeom. (2021). Contribution of Biophysical Factors to Regional Variations of Evapotranspiration and Seasonal Cooling Effects in Paddy Rice in South Korea. Remote Sensing. 13(19). 3992–3992. 5 indexed citations
9.
Jeong, Seungtaek, Jonghan Ko, & Jong‐Min Yeom. (2021). The spatial data of paddy rice classification over Northeast Asia using COMS geostationary satellite. SHILAP Revista de lepidopterología. 3(1). 18–22.
10.
Jeong, Seungtaek, Jonghan Ko, & Jong‐Min Yeom. (2021). Predicting rice yield at pixel scale through synthetic use of crop and deep learning models with satellite data in South and North Korea. The Science of The Total Environment. 802. 149726–149726. 97 indexed citations
11.
Jeong, Seungtaek, et al.. (2019). Mathematical Integration of Remotely-Sensed Information into a Crop Modelling Process for Mapping Crop Productivity. Remote Sensing. 11(18). 2131–2131. 20 indexed citations
12.
Ko, Jonghan, et al.. (2019). Delineation of Rice Productivity Projected via Integration of a Crop Model with Geostationary Satellite Imagery in North Korea. National Remote Sensing Bulletin. 35(1). 57–81. 1 indexed citations
13.
Yeom, Jong‐Min, Jonghan Ko, Jisoo Hwang, et al.. (2018). Updating Absolute Radiometric Characteristics for KOMPSAT-3 and KOMPSAT-3A Multispectral Imaging Sensors Using Well-Characterized Pseudo-Invariant Tarps and Microtops II. Remote Sensing. 10(5). 697–697. 10 indexed citations
14.
Jeong, Seungtaek, Jonghan Ko, & Jong‐Min Yeom. (2018). Nationwide Projection of Rice Yield Using a Crop Model Integrated with Geostationary Satellite Imagery: A Case Study in South Korea. Remote Sensing. 10(10). 1665–1665. 23 indexed citations
15.
Jeong, Seungtaek, et al.. (2018). Application of an unmanned aerial system for monitoring paddy productivity using the GRAMI-rice model. International Journal of Remote Sensing. 39(8). 2441–2462. 20 indexed citations
16.
Ko, Jonghan, et al.. (2012). A Classification of Ceramics Discovered in Kampung Senangeh, Samarahan, Sarawak. LXX(91). 183–198. 1 indexed citations
17.
Piccinni, Giovanni, Jonghan Ko, Thomas Marek, & Daniel I. Leskovar. (2009). Crop Coefficients Specific to Multiple Phenological Stages for Evapotranspiration-based Irrigation Management of Onion and Spinach. HortScience. 44(2). 421–425. 24 indexed citations
18.
Piccinni, Giovanni, Thomas J. Gerik, Daniel I. Leskovar, et al.. (2006). Crop Simulation and Crop Evapotranspiration for Irrigation Management of Spinach. HortScience. 41(4). 971B–971.
19.
Ko, Jonghan, et al.. (2005). Effect of Expanded Rice Husk Medium on Rice Seedling for Machine Transplanting. The Korean Journal of Crop Science. 50(1). 55–59. 6 indexed citations
20.
Ko, Jonghan, et al.. (2005). Chemical and Physical Characteristics of Expanded Rice Husk Medium on Growth of Rice Seedling. The Korean Journal of Crop Science. 50(2). 120–124. 8 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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