Minha Choi
About
In The Last Decade
Minha Choi
147 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 102
- Global and Planetary Change 2.2k
- Environmental Engineering 2.0k
- Atmospheric Science 1.5k
- Water Science and Technology 1.4k
- Civil and Structural Engineering 652
Countries citing papers authored by Minha Choi
This map shows the geographic impact of Minha Choi'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 Minha Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minha Choi more than expected).
Fields of papers citing papers by Minha Choi
This network shows the impact of papers produced by Minha Choi. 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 Minha Choi. The network helps show where Minha Choi may publish in the future.
Co-authorship network of co-authors of Minha Choi
This figure shows the co-authorship network connecting the top 25 collaborators of Minha Choi. A scholar is included among the top collaborators of Minha Choi 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 Minha Choi. Minha Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 59 | |
| 5 | 58 | |
| 6 | 37 | |
| 7 | Assessment of merging technique using Triple Collocation (TC) from satellite and reanalysis dataset over Different Land Covers in East Asia: GLDAS, MOD16, GLEAM, and MERRA. | 3 |
| 8 | 36 | |
| 9 | Intercomparison of AMSR2 and AMSR-E Soil Moisture Retrievals with MERRA-L data set over Australia | 1 |
| 10 | 36 | |
| 11 | Identifying Vulnerability Regions of Dust Outbreaks in East Asian Desert Areas: using SMOS, MODIS, and GLDAS | 1 |
| 12 | 129 | |
| 13 | AMSR2 soil moisture validation in South Korea | 1 |
| 14 | Spatial Downscaling of TRMM Precipitation using MODIS product in the Korean Peninsula | 1 |
| 15 | Evaluation of Drought Risk in Gyeongsang-do Using EDI | 1 |
| 16 | Comparison between supervised and unsupervised land cover classification using satellite image | 1 |
| 17 | The study of Application of Drought Index Using Measured Soil Moisture at KoFlux Tower | 1 |
| 18 | Prediction of Soil Moisture using Hydrometeorological Data in Selmacheon | 1 |
| 19 | Estimation on Trends of Reference Evapotranspiration of Weather Station Using Reference Evapotranspiration Calculator Software | 3 |
| 20 | Soil moisture structure for different soil depths from field to watershed scale during the Soil Moisture Experiment 2005 (SMEX05) | 1 |
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.