What is he best known for?
The fields of study he is best known for:
- Statistics
- Normal distribution
- Regression analysis
Eun-Sung Chung focuses on Downscaling, Watershed, HSPF, Precipitation and Multiple-criteria decision analysis.
Eun-Sung Chung regularly ties together related areas like Impervious surface in his Downscaling studies.
His Watershed research is multidisciplinary, incorporating perspectives in Drainage basin, Streamflow, Groundwater, Effects of global warming and Surface runoff.
Eun-Sung Chung has included themes like DPSIR and Environmental resource management in his HSPF study.
His studies deal with areas such as Cropping, Spatial distribution, Agricultural productivity and Monsoon as well as Precipitation.
His Multiple-criteria decision analysis research is multidisciplinary, relying on both Analytic hierarchy process and Flood myth.
His most cited work include:
- Prioritization of water management for sustainability using hydrologic simulation model and multicriteria decision making techniques. (118 citations)
- Prioritizing the best sites for treated wastewater instream use in an urban watershed using fuzzy TOPSIS (85 citations)
- Development of spatial water resources vulnerability index considering climate change impacts (75 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Precipitation, Watershed, Statistics, Water resources and Environmental resource management.
His Precipitation research incorporates themes from Coupled model intercomparison project, Forecast skill, Evapotranspiration, Monsoon and Return period.
His work deals with themes such as Ranking, Streamflow and Operations research, which intersect with Watershed.
As part of the same scientific family, Eun-Sung Chung usually focuses on Environmental resource management, concentrating on Multiple-criteria decision analysis and intersecting with Regret.
His studies in HSPF integrate themes in fields like Water resource management, DPSIR, Downscaling and Water cycle.
The Watershed management study combines topics in areas such as Analytic hierarchy process and Flood myth.
He most often published in these fields:
- Precipitation (19.35%)
- Watershed (19.35%)
- Statistics (12.90%)
What were the highlights of his more recent work (between 2017-2021)?
- Precipitation (19.35%)
- Evapotranspiration (8.39%)
- Coupled model intercomparison project (7.74%)
In recent papers he was focusing on the following fields of study:
Precipitation, Evapotranspiration, Coupled model intercomparison project, Water resources and General Circulation Model are his primary areas of study.
His Precipitation study combines topics in areas such as Representative Concentration Pathways, Selection, Forecast skill, Monsoon and Return period.
The concepts of his Selection study are interwoven with issues in Compromise programming, Ranking, Statistics and Forcing.
His research in Coupled model intercomparison project intersects with topics in Watershed, Atmospheric circulation and Streamflow.
His work carried out in the field of Watershed brings together such families of science as Frequency analysis, Flood myth, Flood frequency analysis, Non stationarity and Water supply.
Eun-Sung Chung has researched Projection in several fields, including Uncertainty analysis, TOPSIS, Climate model and Downscaling.
Between 2017 and 2021, his most popular works were:
- Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh (57 citations)
- Trend analysis of droughts during crop growing seasons of Nigeria (54 citations)
- Trends analysis of rainfall and rainfall extremes in Sarawak, Malaysia using modified Mann–Kendall test (51 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Normal distribution
- Artificial intelligence
Eun-Sung Chung mainly focuses on Precipitation, Downscaling, Representative Concentration Pathways, Evapotranspiration and Monsoon.
While the research belongs to areas of Precipitation, Eun-Sung Chung spends his time largely on the problem of Selection, intersecting his research to questions surrounding Compromise programming.
His biological study spans a wide range of topics, including Random forest, Quantile and Coupled model intercomparison project.
His Coupled model intercomparison project research includes themes of Range and Spatial distribution.
His Monsoon study incorporates themes from Test, Flood myth, Flash flood and Mann kendall.
His research integrates issues of Ranking, Feature selection, Global warming and Forcing in his study of Cru.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
