Yong-Mo Moon
Impact in
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- Manufacturing Process and Optimization
- Flexible and Reconfigurable Manufacturing Systems
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- Piezoelectric Actuators and Control
- Robotic Mechanisms and Dynamics
- Iterative Learning Control Systems
Papers in
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- Piezoelectric Actuators and Control 4
- Robotic Mechanisms and Dynamics 3
- Iterative Learning Control Systems 2
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- Design Education and Practice 2
- Advanced machining processes and optimization 2
- Co-authors
- Sridhar Kota (8 shared papers)Brian Trease (1 shared paper)Robert G. Landers (1 shared paper)Debasish Dutta (1 shared paper)Prabhjot Singh (1 shared paper)
- Journals
- Mechanism and Machine Theory (2 papers)Journal of Mechanical Design (1 paper)Journal of Manufacturing Science and Engineering (1 paper)Texas Digital Library (University of Texas) (1 paper)
- Partner nations
- United States
In The Last Decade
Yong-Mo Moon
11 papers receiving 473 citations
Peers
Comparison fields: 5 of 37
- Industrial and Manufacturing Engineering 143
- Control and Systems Engineering 317
- Management of Technology and Innovation 46
- Mechanical Engineering 156
- Civil and Structural Engineering 76
Countries citing papers authored by Yong-Mo Moon
This map shows the geographic impact of Yong-Mo 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 Yong-Mo Moon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong-Mo Moon more than expected).
Fields of papers citing papers by Yong-Mo Moon
This network shows the impact of papers produced by Yong-Mo 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 Yong-Mo Moon. The network helps show where Yong-Mo Moon may publish in the future.
Co-authors
The 5 scholars most cited alongside Yong-Mo 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
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 243 | |
| 2 | 2002 | 52 | |
| 3 | 2005 | 47 | |
| 4 | 2006 | 44 | |
| 5 | 2001 | 33 | |
| 6 | 2002 | 31 | |
| 7 | 1998 | 18 | |
| 8 | Virtual Arch Type Reconfigurable Machine Tool Design: Principles and Methodology | 2000 | 12 |
| 9 | 2003 | 6 | |
| 10 | 2005 | 2 | |
| 11 | 2000 | 2 |
About Yong-Mo Moon
Yong-Mo Moon is a scholar working on Control and Systems Engineering, Mechanical Engineering, Industrial and Manufacturing Engineering, Automotive Engineering and Biomedical Engineering, having authored 11 papers that have together received 490 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (5 papers), Piezoelectric Actuators and Control (4 papers), Robotic Mechanisms and Dynamics (3 papers), Design Education and Practice (2 papers), Advanced machining processes and optimization (2 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Iterative Learning Control Systems (2 papers) and Topology Optimization in Engineering (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (143 citations), Control and Systems Engineering (317 citations), Management of Technology and Innovation (46 citations), Mechanical Engineering (156 citations) and Civil and Structural Engineering (76 citations). Yong-Mo Moon has collaborated with scholars based in United States. Frequent co-authors include Sridhar Kota, Brian Trease, Robert G. Landers, Debasish Dutta and Prabhjot Singh. Their work appears in journals such as Mechanism and Machine Theory, Journal of Mechanical Design, Journal of Manufacturing Science and Engineering and Texas Digital Library (University of Texas).
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.