W.-T. Yun
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
- Tropical and Extratropical Cyclones Research
- Precipitation Measurement and Analysis
- Global and Planetary Change top 5%
- Climate variability and models
- Hydrology and Drought Analysis
- Atmospheric and Environmental Gas Dynamics
Papers in
-
- Meteorological Phenomena and Simulations 6
- Precipitation Measurement and Analysis 2
- Atmospheric Ozone and Climate 1
-
- Climate variability and models 6
- Hydrology and Drought Analysis 2
- Co-authors
- Lydia Stefanova (3 shared papers)T. N. Krishnamurti (3 shared papers)William K. Dewar (2 shared papers)Ashis K. Mitra (2 shared papers)T. S. V. Vijaya Kumar (2 shared papers)David Jones (1 shared paper)R. K. Kolli (1 shared paper)Normand Gagnon (1 shared paper)
- Journals
- Tellus A Dynamic Meteorology and Oceanography (2 papers)Atmospheric measurement techniques (1 paper)Journal of Climate (1 paper)Climate Research (1 paper)Theoretical and Applied Climatology (1 paper)
- Partner nations
- South KoreaUnited StatesIndia
In The Last Decade
W.-T. Yun
7 papers receiving 339 citations
Peers
Comparison fields: 5 of 39
- Atmospheric Science 282
- Global and Planetary Change 310
- Oceanography 48
- Environmental Engineering 36
- Ecology, Evolution, Behavior and Systematics 26
Countries citing papers authored by W.-T. Yun
This map shows the geographic impact of W.-T. Yun'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 W.-T. Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites W.-T. Yun more than expected).
Fields of papers citing papers by W.-T. Yun
This network shows the impact of papers produced by W.-T. Yun. 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 W.-T. Yun. The network helps show where W.-T. Yun may publish in the future.
Co-authors
The 21 scholars most cited alongside W.-T. Yun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 124 | |
| 2 | 2005 | 76 | |
| 3 | 2010 | 64 | |
| 4 | 2010 | 48 | |
| 5 | 2005 | 36 | |
| 6 | 2013 | 4 | |
| 7 | 2006 | 3 |
About W.-T. Yun
W.-T. Yun is a scholar working on Atmospheric Science, Global and Planetary Change, Astronomy and Astrophysics, Oceanography and Statistics, Probability and Uncertainty, having authored 7 papers that have together received 355 indexed citations. Recurring topics across this work include Climate variability and models (6 papers), Meteorological Phenomena and Simulations (6 papers), Hydrology and Drought Analysis (2 papers), Precipitation Measurement and Analysis (2 papers), Oceanographic and Atmospheric Processes (1 paper), Scientific Measurement and Uncertainty Evaluation (1 paper), Atmospheric Ozone and Climate (1 paper) and Ionosphere and magnetosphere dynamics (1 paper). The work is most often cited by research in Atmospheric Science (282 citations), Global and Planetary Change (310 citations), Oceanography (48 citations), Environmental Engineering (36 citations) and Ecology, Evolution, Behavior and Systematics (26 citations). W.-T. Yun has collaborated with scholars based in South Korea, United States and India. Frequent co-authors include Lydia Stefanova, T. N. Krishnamurti, William K. Dewar, Ashis K. Mitra, T. S. V. Vijaya Kumar, David Jones, R. K. Kolli, Normand Gagnon, Yihui Ding and G. J. Boer. Their work appears in journals such as Tellus A Dynamic Meteorology and Oceanography, Atmospheric measurement techniques, Journal of Climate, Climate Research and Theoretical and Applied Climatology.
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.