Jun Moon

1.5k total citations
90 papers, 989 citations indexed

About

Jun Moon is a scholar working on Control and Systems Engineering, Finance and Computer Networks and Communications. According to data from OpenAlex, Jun Moon has authored 90 papers receiving a total of 989 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Control and Systems Engineering, 39 papers in Finance and 16 papers in Computer Networks and Communications. Recurrent topics in Jun Moon's work include Stochastic processes and financial applications (39 papers), Adaptive Control of Nonlinear Systems (19 papers) and Stability and Control of Uncertain Systems (13 papers). Jun Moon is often cited by papers focused on Stochastic processes and financial applications (39 papers), Adaptive Control of Nonlinear Systems (19 papers) and Stability and Control of Uncertain Systems (13 papers). Jun Moon collaborates with scholars based in South Korea, United States and United Kingdom. Jun Moon's 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 Youngwoo Lee and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and Expert Systems with Applications.

In The Last Decade

Jun Moon

79 papers receiving 966 citations

Peers

Jun Moon
Comparison fields: 5 of 69
  • Control and Systems Engineering 423
  • Finance 382
  • Economics and Econometrics 166
  • Computer Networks and Communications 128
  • Management Science and Operations Research 122
Replace Juanjuan Xu with:
Juanjuan Xu China
Hiroaki Mukaidani Japan
Hisham Abou‐Kandil France
James A. Primbs United States
Mustapha Ait Rami Spain
Shuping Chen China
Changjun Yu China
Xiaofeng Zong China
Vladimir Gaitsgory Australia
P. Bernhard France
Juanjuan Xu China View profile →
Citations per field, relative to Jun Moon
Jun Moon · 1×
Citations per year, relative to Jun Moon
Jun Moon · 1×

Countries citing papers authored by Jun Moon

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jun Moon

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Moon. A scholar is included among the top collaborators of Jun Moon 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 Jun Moon. Jun Moon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 0
3 0
4 2
5 0
6 0
7 1
8 7
9 8
10 60
11 36
12 2
13 3
14 29
15
State and Control Paths-Dependent Stochastic Zero-Sum Differential Games: Dynamic Programming Principle and Viscosity Solution of Paths-Dependent Hamilton-Jacobi-Isaacs Equation
0
16
Robustness of Hierarchical Schemes for Multi-agent Systems
2
17 11
18 19
19 7
20 12

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026