Moon Jung Chung
- Molecular Biology
- Artificial Intelligence
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 10%
- Hardware and Architecture top 10%
- Co-authors
- Sakti PramanikJin Ryoun KimPatrick KwonBrian T. PentlandSang‐Chul KimEunmi ChoiWen-Jing HsuA. Das
- Topics
- Manufacturing Process and Optimization (7 papers)Business Process Modeling and Analysis (6 papers)Parallel Computing and Optimization Techniques (6 papers)
- Cited by
- Hardware and ArchitectureManagement of Technology and InnovationComputational Theory and Mathematics
- Journals
- IEEE Transactions on Parallel and Distributed SystemsIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsJournal of Mechanical Design
- Partner nations
- United StatesSouth KoreaSingapore
In The Last Decade
Moon Jung Chung
30 papers receiving 310 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 94
- Artificial Intelligence 85
- Computer Networks and Communications 77
- Computational Theory and Mathematics 64
- Hardware and Architecture 49
Countries citing papers authored by Moon Jung Chung
This map shows the geographic impact of Moon Jung Chung'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 Moon Jung Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moon Jung Chung more than expected).
Fields of papers citing papers by Moon Jung Chung
This network shows the impact of papers produced by Moon Jung Chung. 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 Moon Jung Chung. The network helps show where Moon Jung Chung may publish in the future.
Co-authorship network of co-authors of Moon Jung Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Moon Jung Chung. A scholar is included among the top collaborators of Moon Jung Chung 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 Moon Jung Chung. Moon Jung Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 22 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 4 | |
| 9 | 18 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 87 | |
| 14 | 43 | |
| 15 | 2 | |
| 16 | 5 | |
| 17 | 13 | |
| 18 | 2 | |
| 19 | 4 | |
| 20 | 1 |
About Moon Jung Chung
Moon Jung Chung is a scholar working on Hardware and Architecture, Management of Technology and Innovation and Industrial and Manufacturing Engineering, having authored 31 papers that have together received 337 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (7 papers), Business Process Modeling and Analysis (6 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Hardware and Architecture (49 citations), Management of Technology and Innovation (40 citations) and Computational Theory and Mathematics (64 citations). Moon Jung Chung has collaborated with scholars based in United States, South Korea and Singapore. Frequent co-authors include Sakti Pramanik, Jin Ryoun Kim, Patrick Kwon, Brian T. Pentland, Sang‐Chul Kim, Eunmi Choi, Wen-Jing Hsu, A. Das, Hyun Kim and Mukkai S. Krishnamoorthy. Their work appears in journals such as IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and Journal of Mechanical Design.
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.