Yeon-Hee Kim
- Atmospheric Science top 5%
- Global and Planetary Change top 5%
- Environmental Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Biomedical Engineering top 10%
- Co-authors
- Jong‐Jin BaikSangil HanSanjit GaikwadHye‐Yeong ChunSamjin ChoiWansun KimMaeng‐Ki KimHun‐Kuk Park
- Topics
- Meteorological Phenomena and Simulations (30 papers)Climate variability and models (19 papers)Precipitation Measurement and Analysis (12 papers)
- Partner nations
- South KoreaUnited KingdomUnited States
In The Last Decade
Yeon-Hee Kim
93 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 117
- Atmospheric Science 487
- Global and Planetary Change 480
- Environmental Engineering 442
- Electrical and Electronic Engineering 365
- Biomedical Engineering 276
Countries citing papers authored by Yeon-Hee Kim
This map shows the geographic impact of Yeon-Hee Kim'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 Yeon-Hee Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeon-Hee Kim more than expected).
Fields of papers citing papers by Yeon-Hee Kim
This network shows the impact of papers produced by Yeon-Hee Kim. 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 Yeon-Hee Kim. The network helps show where Yeon-Hee Kim may publish in the future.
Co-authorship network of co-authors of Yeon-Hee Kim
This figure shows the co-authorship network connecting the top 25 collaborators of Yeon-Hee Kim. A scholar is included among the top collaborators of Yeon-Hee Kim 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 Yeon-Hee Kim. Yeon-Hee Kim 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 | 0 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 22 | |
| 9 | 2 | |
| 10 | 8 | |
| 11 | 1 | |
| 12 | 15 | |
| 13 | 6 | |
| 14 | EXAMINATION OF THE GLOBAL LORENZ ENERGY CYCLE USING MERRA | 2 |
| 15 | The Effects of Learning Strategies on Academic Achievement | 2 |
| 16 | 43 | |
| 17 | A Study on Strength Properties of Mortar added Nano Titanium Dioxide | 0 |
| 18 | An Application of Brightness Temperature Received from a Ground-based Microwave Radiometer to Estimation of Precipitation Occurrences and Rainfall Intensity | 19 |
| 19 | A Study on Heat Exchange Efficiency of EGR Cooler for Diesel Hybrid | 1 |
| 20 | 16 |
About Yeon-Hee Kim
Yeon-Hee Kim is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering, having authored 109 papers that have together received 1.8k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (30 papers), Climate variability and models (19 papers) and Precipitation Measurement and Analysis (12 papers). The work is most often cited by research in Environmental Engineering (442 citations), Atmospheric Science (487 citations) and Global and Planetary Change (480 citations). Yeon-Hee Kim has collaborated with scholars based in South Korea, United Kingdom and United States. Frequent co-authors include Jong‐Jin Baik, Sangil Han, Sanjit Gaikwad, Hye‐Yeong Chun, Samjin Choi, Wansun Kim, Maeng‐Ki Kim, Hun‐Kuk Park, Bumsuk Kim and Jin Hwi Kim. Their work appears in journals such as ACS Nano, ACS Applied Materials & Interfaces and Atmospheric Environment.
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.