Kundo Park
Impact in
-
- Machine Learning in Materials Science
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
-
- Machine Learning in Materials Science 6
-
- Advanced Multi-Objective Optimization Algorithms 3
- Co-authors
- Seunghwa Ryu (15 shared papers)Grace X. Gu (3 shared papers)Yongtae Kim (3 shared papers)Youngsoo KiM (1 shared paper)Charles Yang (1 shared paper)Jinkyoo Park (3 shared papers)Donggeun Park (3 shared papers)Jiyoung Jung (4 shared papers)
- Journals
- Materials Horizons (2 papers)Additive manufacturing (2 papers)Advanced Engineering Materials (2 papers)Extreme Mechanics Letters (2 papers)Advanced Theory and Simulations (1 paper)
- Partner nations
- South KoreaUnited StatesSpain
In The Last Decade
Kundo Park
16 papers receiving 406 citations
Peers
Comparison fields: 5 of 47
- Materials Chemistry 178
- Automotive Engineering 29
- Mechanical Engineering 97
- Mechanics of Materials 48
- Statistical and Nonlinear Physics 24
Countries citing papers authored by Kundo Park
This map shows the geographic impact of Kundo Park'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 Kundo Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kundo Park more than expected).
Fields of papers citing papers by Kundo Park
This network shows the impact of papers produced by Kundo Park. 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 Kundo Park. The network helps show where Kundo Park may publish in the future.
Co-authors
The 25 scholars most cited alongside Kundo Park, 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 | 2021 | 151 | |
| 2 | 2023 | 77 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 30 | |
| 5 | 2023 | 29 | |
| 6 | 2020 | 26 | |
| 7 | 2024 | 16 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 7 | |
| 11 | 2025 | 7 | |
| 12 | 2023 | 6 | |
| 13 | 2023 | 5 | |
| 14 | 2025 | 4 | |
| 15 | 2022 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 0 |
About Kundo Park
Kundo Park is a scholar working on Materials Chemistry, Computational Theory and Mathematics, Mechanical Engineering, Automotive Engineering and Mechanics of Materials, having authored 17 papers that have together received 415 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (6 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Topology Optimization in Engineering (3 papers), Cellular and Composite Structures (3 papers), Additive Manufacturing and 3D Printing Technologies (2 papers), Injection Molding Process and Properties (2 papers), Advanced Sensor and Energy Harvesting Materials (1 paper) and Composite Material Mechanics (1 paper). The work is most often cited by research in Materials Chemistry (178 citations), Automotive Engineering (29 citations), Mechanical Engineering (97 citations), Mechanics of Materials (48 citations) and Statistical and Nonlinear Physics (24 citations). Kundo Park has collaborated with scholars based in South Korea, United States and Spain. Frequent co-authors include Seunghwa Ryu, Grace X. Gu, Yongtae Kim, Youngsoo KiM, Charles Yang, Jinkyoo Park, Donggeun Park, Jiyoung Jung, Junhyeong Lee and Mingyu Lee. Their work appears in journals such as Materials Horizons, Additive manufacturing, Advanced Engineering Materials, Extreme Mechanics Letters and Advanced Theory and Simulations.
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.