Junho Lee
Impact in
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- Parkinson's Disease Mechanisms and Treatments
- Neurological disorders and treatments
- Artificial Intelligence top 10%
- Solar Radiation and Photovoltaics
Papers in
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- Spatial and Panel Data Analysis 7
- Historical Economic and Social Studies 1
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- Data-Driven Disease Surveillance 6
- Co-authors
- Ying Sun (5 shared papers)Fouzi Harrou (3 shared papers)Wu Wang (2 shared papers)Jun Zhu (5 shared papers)Ronald E. Gangnon (4 shared papers)Heather A. O’Connell (2 shared papers)Katherine J. Curtis (2 shared papers)Howard H. Chang (1 shared paper)
- Journals
- IEEE Access (2 papers)Statistics in Medicine (2 papers)Environmetrics (2 papers)Spatial and Spatio-temporal Epidemiology (1 paper)Demography (1 paper)
- Partner nations
- United StatesSaudi ArabiaSouth Korea
In The Last Decade
Junho Lee
15 papers receiving 454 citations
Peers
Comparison fields: 5 of 102
- Neurology 86
- Artificial Intelligence 162
- Renewable Energy, Sustainability and the Environment 66
- Physiology 81
- Modeling and Simulation 14
Countries citing papers authored by Junho Lee
This map shows the geographic impact of Junho 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 Junho Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junho Lee more than expected).
Fields of papers citing papers by Junho Lee
This network shows the impact of papers produced by Junho 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 Junho Lee. The network helps show where Junho Lee may publish in the future.
Co-authors
The 19 scholars most cited alongside Junho 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 | 2020 | 192 | |
| 2 | 2020 | 123 | |
| 3 | 2020 | 80 | |
| 4 | 2018 | 25 | |
| 5 | 2016 | 25 | |
| 6 | 2019 | 11 | |
| 7 | 2017 | 7 | |
| 8 | 2020 | 7 | |
| 9 | 2021 | 2 | |
| 10 | 2006 | 2 | |
| 11 | 2024 | 1 | |
| 12 | 2023 | 1 | |
| 13 | A Study on the Local Governance Building for the Cooperative Exchange between North and South Korea: Comparison of Case Studies of Kangwon, Kyunggi, and Kyungsang | 2008 | 1 |
| 14 | 2025 | 1 | |
| 15 | 2006 | 1 | |
| 16 | 2021 | 1 | |
| 17 | 2024 | 0 |
About Junho Lee
Junho Lee is a scholar working on Economics and Econometrics, Epidemiology, Artificial Intelligence, Health, Toxicology and Mutagenesis and Electrical and Electronic Engineering, having authored 17 papers that have together received 480 indexed citations. Recurring topics across this work include Spatial and Panel Data Analysis (7 papers), Data-Driven Disease Surveillance (6 papers), COVID-19 epidemiological studies (2 papers), Air Quality and Health Impacts (2 papers), Bayesian Methods and Mixture Models (2 papers), Energy Load and Power Forecasting (2 papers), Solar Radiation and Photovoltaics (2 papers) and Historical Economic and Social Studies (1 paper). The work is most often cited by research in Neurology (86 citations), Artificial Intelligence (162 citations), Renewable Energy, Sustainability and the Environment (66 citations), Physiology (81 citations) and Modeling and Simulation (14 citations). Junho Lee has collaborated with scholars based in United States, Saudi Arabia and South Korea. Frequent co-authors include Ying Sun, Fouzi Harrou, Wu Wang, Jun Zhu, Ronald E. Gangnon, Heather A. O’Connell, Katherine J. Curtis, Howard H. Chang, Jingjing Liang and Kris Villez. Their work appears in journals such as IEEE Access, Statistics in Medicine, Environmetrics, Spatial and Spatio-temporal Epidemiology and Demography.
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.