Sungwon Kim
Sungwon Kim publishes mostly in Environmental Engineering, Artificial Intelligence and Water Science and Technology, on topics such as Hydrological Forecasting Using AI, Hydrology and Watershed Management Studies and Energy Load and Power Forecasting.
- World rank
- #261,260 of 7,710,434 ranked researchers
- Rank in South Korea
- #1,738 of 162,609
- Works
- 194
- Citations
- 5.3k
- Citations per work
- 27.5
What does Sungwon Kim research?
Sungwon Kim's work is mostly in Environmental Science (44%), Computer Science (15%), Engineering (12%).
Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.
The fields and subfields, with their numbers
- Physical Sciences13971.4%
- Environmental Science8543.8%
- Computer Science2915.2%
- Engineering2412.4%
- Everything else5528.6%
- 1Environmental Engineering24% of their works
- 2Artificial Intelligence15% of their works
- 3Water Science and Technology12% of their works
- 4Global and Planetary Change8% of their works
- 5Electrical and Electronic Engineering6% of their works
- 6Civil and Structural Engineering6% of their works
Research topics
Which keywords describe Sungwon Kim's research?
The keywords of their largest research topics: Water Resources, Forecasting, Machine Learning, Hydrology, Rainfall-Runoff Modeling, Climate Change, Hydrological Modeling and Renewable Energy.
- Tree Mortality
- Surface Water Mapping
- Feedforward Networks
- Solar Radiation
- Water Quality Monitoring
- Load Forecasting
- Model Evaluation
- Remote Sensing
- Renewable Energy
- Climate Change
- Hydrology
- Forecasting
- Water Resources
- Machine Learning
- Rainfall-Runoff Modeling
- Hydrological Modeling
- Neural Networks
- Global Hydrology
- Electricity Price Forecasting
- Aquaculture
- Photovoltaic Power
- Extreme Learning Machine
- Flood Risk
- Drought
Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.
All 24 words, with their numbers
- Water Resources1302 topics
- Forecasting1142 topics
- Machine Learning1142 topics
- Hydrology971 topic
- Rainfall-Runoff Modeling971 topic
- Climate Change623 topics
- Hydrological Modeling482 topics
- Renewable Energy482 topics
- Neural Networks462 topics
- Remote Sensing382 topics
- Global Hydrology331 topic
- Model Evaluation331 topic
- Electricity Price Forecasting311 topic
- Load Forecasting311 topic
- Aquaculture231 topic
- Water Quality Monitoring231 topic
- Photovoltaic Power171 topic
- Solar Radiation171 topic
- Extreme Learning Machine151 topic
- Feedforward Networks151 topic
- Flood Risk151 topic
- Surface Water Mapping151 topic
- Drought141 topic
- Tree Mortality141 topic
Where does Sungwon Kim work?
Sungwon Kim's main affiliation in the publication record is Dongyang University, South Korea.
How many publications and citations does Sungwon Kim have?
OpenAlex counts 194 works and 5,326 citations for Sungwon Kim, an h-index of 39, ranking #261,260 of 7,710,434 researchers worldwide on the quality score.
Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.
Other researchers named Sungwon Kim
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