Moohyun Cha
Impact in
- Human-Computer Interaction top 5%
- Virtual Reality Applications and Impacts
Papers in
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- Simulation and Modeling Applications 7
- Human Motion and Animation 4
-
- Additive Manufacturing and 3D Printing Technologies 5
- Co-authors
- Soonhung Han (7 shared papers)Byung-Il Choi (6 shared papers)Duhwan Mun (10 shared papers)Hyungki Kim (7 shared papers)Jaho Seo (4 shared papers)Byung Chul Kim (2 shared papers)Jeongsam Yang (2 shared papers)Taeyun Kim (1 shared paper)
- Journals
- Multimedia Tools and Applications (2 papers)IEEE Access (2 papers)Robotics (1 paper)Fire Safety Journal (1 paper)Multimedia Systems (1 paper)
- Partner nations
- South KoreaCanadaChina
In The Last Decade
Moohyun Cha
28 papers receiving 327 citations
Peers
Comparison fields: 5 of 73
- Human-Computer Interaction 96
- Computer Graphics and Computer-Aided Design 23
- Ocean Engineering 97
- Industrial and Manufacturing Engineering 44
- Automotive Engineering 48
Countries citing papers authored by Moohyun Cha
This map shows the geographic impact of Moohyun Cha'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 Moohyun Cha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moohyun Cha more than expected).
Fields of papers citing papers by Moohyun Cha
This network shows the impact of papers produced by Moohyun Cha. 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 Moohyun Cha. The network helps show where Moohyun Cha may publish in the future.
Co-authors
The 24 scholars most cited alongside Moohyun Cha, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 172 | |
| 2 | 2019 | 19 | |
| 3 | 2016 | 16 | |
| 4 | 2021 | 14 | |
| 5 | 2018 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2010 | 12 | |
| 8 | 2017 | 12 | |
| 9 | 2008 | 11 | |
| 10 | 2019 | 9 | |
| 11 | 2005 | 8 | |
| 12 | 2012 | 5 | |
| 13 | 2008 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2024 | 4 | |
| 16 | 2009 | 4 | |
| 17 | 2010 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 2020 | 3 | |
| 20 | 2021 | 3 |
About Moohyun Cha
Moohyun Cha is a scholar working on Control and Systems Engineering, Automotive Engineering, Ocean Engineering, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 30 papers that have together received 348 indexed citations. Recurring topics across this work include Simulation and Modeling Applications (7 papers), Evacuation and Crowd Dynamics (6 papers), 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (6 papers), Manufacturing Process and Optimization (5 papers), Additive Manufacturing and 3D Printing Technologies (5 papers), Human Motion and Animation (4 papers) and 3D Surveying and Cultural Heritage (3 papers). The work is most often cited by research in Human-Computer Interaction (96 citations), Computer Graphics and Computer-Aided Design (23 citations), Ocean Engineering (97 citations), Industrial and Manufacturing Engineering (44 citations) and Automotive Engineering (48 citations). Moohyun Cha has collaborated with scholars based in South Korea, Canada and China. Frequent co-authors include Soonhung Han, Byung-Il Choi, Duhwan Mun, Hyungki Kim, Jaho Seo, Byung Chul Kim, Jeongsam Yang, Taeyun Kim, Byounghyun Yoo and Taesung Kim. Their work appears in journals such as Multimedia Tools and Applications, IEEE Access, Robotics, Fire Safety Journal and Multimedia Systems.
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.