Haeseong Cho
- Computational Mechanics top 5%
- Aerospace Engineering top 10%
- Civil and Structural Engineering top 10%
- Statistical and Nonlinear Physics top 10%
- Control and Systems Engineering top 10%
- Co-authors
- SangJoon ShinNamhun LeeSeungsoo LeeMaenghyo ChoChongam KimJunhee LeeYong Se KimSanghoon Yoon
- Topics
- Model Reduction and Neural Networks (17 papers)Fluid Dynamics and Vibration Analysis (14 papers)Biomimetic flight and propulsion mechanisms (13 papers)
- Journals
- Journal of Computational PhysicsEnergy Conversion and ManagementComputer Methods in Applied Mechanics and Engineering
- Partner nations
- South KoreaDenmarkUnited Kingdom
In The Last Decade
Haeseong Cho
54 papers receiving 363 citations
Peers
Comparison fields: 5 of 48
- Computational Mechanics 166
- Aerospace Engineering 157
- Civil and Structural Engineering 80
- Statistical and Nonlinear Physics 79
- Control and Systems Engineering 75
Countries citing papers authored by Haeseong Cho
This map shows the geographic impact of Haeseong Cho'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 Haeseong Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haeseong Cho more than expected).
Fields of papers citing papers by Haeseong Cho
This network shows the impact of papers produced by Haeseong Cho. 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 Haeseong Cho. The network helps show where Haeseong Cho may publish in the future.
Co-authorship network of co-authors of Haeseong Cho
This figure shows the co-authorship network connecting the top 25 collaborators of Haeseong Cho. A scholar is included among the top collaborators of Haeseong Cho 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 Haeseong Cho. Haeseong Cho 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 3 | |
| 13 | 9 | |
| 14 | 1 | |
| 15 | 0 | |
| 16 | 14 | |
| 17 | 18 | |
| 18 | 3 | |
| 19 | 1 | |
| 20 | Improved Finite Element Domain Decomposition Method Using Local and Mixed Lagrange Multipliers | 2 |
About Haeseong Cho
Haeseong Cho is a scholar working on Computational Mechanics, Statistical and Nonlinear Physics and Aerospace Engineering, having authored 66 papers that have together received 371 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (17 papers), Fluid Dynamics and Vibration Analysis (14 papers) and Biomimetic flight and propulsion mechanisms (13 papers). The work is most often cited by research in Computational Mechanics (166 citations), Statistical and Nonlinear Physics (79 citations) and Aerospace Engineering (157 citations). Haeseong Cho has collaborated with scholars based in South Korea, Denmark and United Kingdom. Frequent co-authors include SangJoon Shin, Namhun Lee, Seungsoo Lee, Maenghyo Cho, Chongam Kim, Junhee Lee, Yong Se Kim, Sanghoon Yoon, Jack J. Yoh and Sang Joon Shin. Their work appears in journals such as Journal of Computational Physics, Energy Conversion and Management and Computer Methods in Applied Mechanics and Engineering.
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.