Jaeyong Lee
- Statistics and Probability top 1%
- Statistical Methods and Inference 25
- Statistical Methods and Bayesian Inference 18
- Computational Mathematics top 10%
- Space and Planetary Science top 10%
- Artificial Intelligence top 5%
- Bayesian Methods and Mixture Models 26
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- Blind Source Separation Techniques 4
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- Asymmetric Synthesis and Catalysis 4
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- Climate variability and models 4
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- Chemical Synthesis and Analysis 4
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- Hydrological Forecasting Using AI 3
Jaeyong Lee
55 papers receiving 619 citations
Peers
Comparison fields: 5 of 121
- Statistics and Probability 353
- Computational Mathematics 10
- Space and Planetary Science 10
- Artificial Intelligence 242
- Statistics, Probability and Uncertainty 30
Countries citing papers authored by Jaeyong Lee
This map shows the geographic impact of Jaeyong 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 Jaeyong Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jaeyong Lee more than expected).
Fields of papers citing papers by Jaeyong Lee
This network shows the impact of papers produced by Jaeyong 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 Jaeyong Lee. The network helps show where Jaeyong Lee may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jaeyong Lee, 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 | 2025 | 3 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 4 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2022 | 10 | |
| 11 | 2022 | 2 | |
| 12 | 2019 | 1 | |
| 13 | 2016 | 8 | |
| 14 | 2014 | 22 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 0 | |
| 17 | State space optimization using plan recognition and reinforcement learning on RTS game | 2008 | 1 |
| 18 | 2008 | 15 | |
| 19 | 2008 | 2 | |
| 20 | Studies on Utilization of Bark by Carbonization | 2006 | 1 |
About Jaeyong Lee
Jaeyong Lee is a scholar working on Statistics and Probability, Space and Planetary Science and Artificial Intelligence, having authored 66 papers that have together received 662 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (26 papers), Statistical Methods and Inference (25 papers), Statistical Methods and Bayesian Inference (18 papers), Blind Source Separation Techniques (4 papers), Asymmetric Synthesis and Catalysis (4 papers), Climate variability and models (4 papers), Chemical Synthesis and Analysis (4 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Statistics and Probability (353 citations), Computational Mathematics (10 citations) and Space and Planetary Science (10 citations). Jaeyong Lee has collaborated with scholars based in South Korea, United States and Chile. Frequent co-authors include Artin Armagan, David B. Dunson, Yongdai Kim, James O. Berger, Sarat C. Dass, David Wright, Hee‐Seok Oh, Scott MacEachern, Lizhen Lin and DongHwa Shin. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Journal of Econometrics.
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.