Yung-Seop Lee
- Artificial Intelligence top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Environmental Engineering
- Co-authors
- Javier CabreraDhammika AmaratungaHyunjoong KimSunwoo HanAndreas BujaYoungdoo SonSeong‐Sik ParkHyun‐Goo Kim
- Topics
- Energy Load and Power Forecasting (8 papers)Technology and Data Analysis (5 papers)Solar Radiation and Photovoltaics (4 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Yung-Seop Lee
33 papers receiving 385 citations
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 123
- Molecular Biology 87
- Electrical and Electronic Engineering 46
- Computer Vision and Pattern Recognition 45
- Environmental Engineering 45
Countries citing papers authored by Yung-Seop Lee
This map shows the geographic impact of Yung-Seop Lee'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 Yung-Seop Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yung-Seop Lee more than expected).
Fields of papers citing papers by Yung-Seop Lee
This network shows the impact of papers produced by Yung-Seop Lee. 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 Yung-Seop Lee. The network helps show where Yung-Seop Lee may publish in the future.
Co-authorship network of co-authors of Yung-Seop Lee
This figure shows the co-authorship network connecting the top 25 collaborators of Yung-Seop Lee. A scholar is included among the top collaborators of Yung-Seop Lee 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 Yung-Seop Lee. Yung-Seop Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 43 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 6 | |
| 8 | A Study on the Hydrometeorological Observation Positions in the Nak-Dong Upriver by Using Fractal Dimension of the Correlation Intergral | 1 |
| 9 | 0 | |
| 10 | 6 | |
| 11 | A Study on the Statistical Matching between Survey Data and Administrative Data | 1 |
| 12 | Development of the Wind Power Forecasting System, KIER Forecaster | 1 |
| 13 | A Study on Statistical Forecasting Models of PM10 in Pohang Region by the Variable Transformation | 1 |
| 14 | A Study on Development of a Forecasting Model of Wind Power Generation for Walryong Site | 4 |
| 15 | A Comparative Study on the Characteristics (Sweat, Stool, Urine, Digestion) of Soyang.Soeumin and Taeyang.Taeumin in Sasang Constitution | 11 |
| 16 | A Clinical Study of Sleeping, Stool, Urine According to Taeyangsoyangin(Yangin) and Taeumsoeumin(Eumin) | 7 |
| 17 | A Clinical Study on the Ordinary Sleeping Patterns of Soyangin | 5 |
| 18 | A Study On the Station Density Using Fractal Dimension | 1 |
| 19 | A Study on the Clinical Features of Ordinary Sleeping Patterns Based on the Sasang Constitution, Using the Logistic Regression | 8 |
| 20 | A Comparison of Clustering Algorithm in Data Mining | 2 |
About Yung-Seop Lee
Yung-Seop Lee is a scholar working on Complementary and alternative medicine, Ecological Modeling and Information Systems, having authored 40 papers that have together received 434 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (8 papers), Technology and Data Analysis (5 papers) and Solar Radiation and Photovoltaics (4 papers). The work is most often cited by research in Artificial Intelligence (123 citations), Complementary and alternative medicine (30 citations) and Health Information Management (16 citations). Yung-Seop Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Javier Cabrera, Dhammika Amaratunga, Hyunjoong Kim, Sunwoo Han, Andreas Buja, Youngdoo Son, Seong‐Sik Park, Hyun‐Goo Kim, Changwon Lim and Junghoon Park. Their work appears in journals such as Bioinformatics, Atmospheric Environment and Expert Systems with Applications.
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.