Jun Moon
Impact in
- Finance top 2%
- Stochastic processes and financial applications
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
Papers in
-
- Adaptive Control of Nonlinear Systems 19
- Stability and Control of Uncertain Systems 13
- Stability and Controllability of Differential Equations 8
- Finance 39
- Stochastic processes and financial applications 39
- Co-authors
- Tamer Başar (23 shared papers)Ngo Phong Nguyen (13 shared papers)Hyondong Oh (9 shared papers)Yoonsoo Kim (10 shared papers)Wonhee Kim (9 shared papers)Tyrone E. Duncan (2 shared papers)Hyun Jong Yang (2 shared papers)Wen‐Hua Chen (2 shared papers)
- Journals
- IEEE Transactions on Automatic Control (10 papers)IEEE Access (10 papers)Automatica (6 papers)Journal of the Franklin Institute (4 papers)International Journal of Robust and Nonlinear Control (3 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Jun Moon
81 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 69
- Finance 391
- Modeling and Simulation 105
- Control and Systems Engineering 437
- Management Science and Operations Research 127
- Demography 101
Countries citing papers authored by Jun Moon
This map shows the geographic impact of Jun Moon'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 Jun Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Moon more than expected).
Fields of papers citing papers by Jun Moon
This network shows the impact of papers produced by Jun Moon. 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 Jun Moon. The network helps show where Jun Moon may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Moon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 105 | |
| 2 | 2018 | 95 | |
| 3 | 2022 | 68 | |
| 4 | 2022 | 39 | |
| 5 | 2023 | 35 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2018 | 29 | |
| 9 | 2015 | 24 | |
| 10 | 2020 | 24 | |
| 11 | 2020 | 24 | |
| 12 | 2015 | 22 | |
| 13 | 2018 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2021 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2015 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2018 | 18 |
About Jun Moon
Jun Moon is a scholar working on Control and Systems Engineering, Finance, Computer Networks and Communications, Modeling and Simulation and Economics and Econometrics, having authored 90 papers that have together received 1.0k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (39 papers), Adaptive Control of Nonlinear Systems (19 papers), Stability and Control of Uncertain Systems (13 papers), Distributed Control Multi-Agent Systems (11 papers), Mathematical Biology Tumor Growth (11 papers), Insurance, Mortality, Demography, Risk Management (11 papers), Economic theories and models (10 papers) and Stability and Controllability of Differential Equations (8 papers). The work is most often cited by research in Finance (391 citations), Modeling and Simulation (105 citations), Control and Systems Engineering (437 citations), Management Science and Operations Research (127 citations) and Demography (101 citations). Jun Moon has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Tamer Başar, Ngo Phong Nguyen, Hyondong Oh, Yoonsoo Kim, Wonhee Kim, Tyrone E. Duncan, Hyun Jong Yang, Wen‐Hua Chen, Jun Yang and Masayoshi Tomizuka. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Access, Automatica, Journal of the Franklin Institute and International Journal of Robust and Nonlinear Control.
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.