Jeong‐Mo Hong
- Computational Mechanics top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Control and Systems Engineering top 10%
- Mechanics of Materials
- Co-authors
- Chang‐Hun KimRonald FedkiwTamar ShinarHo‐Young LeeJoseph TeranHengchin YehWilliam MossDinesh Manocha
- Topics
- Computer Graphics and Visualization Techniques (22 papers)Fluid Dynamics and Heat Transfer (9 papers)3D Shape Modeling and Analysis (7 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- ACM Transactions on GraphicsIEEE Transactions on Visualization and Computer GraphicsComputer Graphics Forum
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Jeong‐Mo Hong
24 papers receiving 659 citations
Peers
Comparison fields: 5 of 49
- Computational Mechanics 528
- Computer Graphics and Computer-Aided Design 511
- Computer Vision and Pattern Recognition 175
- Control and Systems Engineering 86
- Mechanics of Materials 34
Countries citing papers authored by Jeong‐Mo Hong
This map shows the geographic impact of Jeong‐Mo Hong'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 Jeong‐Mo Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeong‐Mo Hong more than expected).
Fields of papers citing papers by Jeong‐Mo Hong
This network shows the impact of papers produced by Jeong‐Mo Hong. 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 Jeong‐Mo Hong. The network helps show where Jeong‐Mo Hong may publish in the future.
Co-authorship network of co-authors of Jeong‐Mo Hong
This figure shows the co-authorship network connecting the top 25 collaborators of Jeong‐Mo Hong. A scholar is included among the top collaborators of Jeong‐Mo Hong 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 Jeong‐Mo Hong. Jeong‐Mo Hong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 1 | |
| 6 | 7 | |
| 7 | 39 | |
| 8 | 4 | |
| 9 | 30 | |
| 10 | 89 | |
| 11 | 24 | |
| 12 | 69 | |
| 13 | 32 | |
| 14 | 25 | |
| 15 | 31 | |
| 16 | 30 | |
| 17 | 139 | |
| 18 | Controlling fluid animation with geometric potential: Research Articles | 13 |
| 19 | 53 | |
| 20 | 77 |
About Jeong‐Mo Hong
Jeong‐Mo Hong is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Surfaces, Coatings and Films, having authored 24 papers that have together received 696 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (22 papers), Fluid Dynamics and Heat Transfer (9 papers) and 3D Shape Modeling and Analysis (7 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (511 citations), Computational Mechanics (528 citations) and Computer Vision and Pattern Recognition (175 citations). Jeong‐Mo Hong has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Chang‐Hun Kim, Ronald Fedkiw, Tamar Shinar, Ho‐Young Lee, Joseph Teran, Hengchin Yeh, William Moss, Dinesh Manocha, Myungjoo Kang and Shin-Jin Kang. Their work appears in journals such as ACM Transactions on Graphics, IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum.
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.