Kundo Park
Impact in
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- Manufacturing Process and Optimization
- Automotive Engineering top 10%
- Additive Manufacturing and 3D Printing Technologies
Papers in
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- Machine Learning in Materials Science 8
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- Additive Manufacturing and 3D Printing Technologies 6
- Co-authors
- Seunghwa Ryu (16 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 (4 shared papers)Junhyeong Lee (3 shared papers)
- Journals
- Materials Horizons (2 papers)Advanced Engineering Materials (2 papers)Extreme Mechanics Letters (2 papers)Additive manufacturing (2 papers)Carbon (1 paper)
- Partner nations
- South KoreaUnited StatesItaly
In The Last Decade
Kundo Park
16 papers receiving 327 citations
Peers
Comparison fields: 5 of 72
- Industrial and Manufacturing Engineering 49
- Automotive Engineering 55
- Mechanical Engineering 115
- Mechanics of Materials 60
- Civil and Structural Engineering 52
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 | 131 | |
| 2 | 2023 | 59 | |
| 3 | 2022 | 27 | |
| 4 | 2022 | 26 | |
| 5 | 2020 | 25 | |
| 6 | 2023 | 20 | |
| 7 | 2024 | 11 | |
| 8 | 2024 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 5 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 4 | |
| 13 | 2022 | 3 | |
| 14 | 2025 | 2 | |
| 15 | 2023 | 2 | |
| 16 | 2025 | 1 | |
| 17 | 2024 | 0 | |
| 18 | 2025 | 0 |
About Kundo Park
Kundo Park is a scholar working on Materials Chemistry, Automotive Engineering, Mechanical Engineering, Civil and Structural Engineering and Mechanics of Materials, having authored 18 papers that have together received 338 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (8 papers), Additive Manufacturing and 3D Printing Technologies (6 papers), Manufacturing Process and Optimization (3 papers), Topology Optimization in Engineering (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Calcium Carbonate Crystallization and Inhibition (3 papers), Injection Molding Process and Properties (2 papers) and Photopolymerization techniques and applications (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (49 citations), Automotive Engineering (55 citations), Mechanical Engineering (115 citations), Mechanics of Materials (60 citations) and Civil and Structural Engineering (52 citations). Kundo Park has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Seunghwa Ryu, Grace X. Gu, Yongtae Kim, Youngsoo Kim, Charles Yang, Jinkyoo Park, Donggeun Park, Junhyeong Lee, Ikjin Lee and Mingyu Lee. Their work appears in journals such as Materials Horizons, Advanced Engineering Materials, Extreme Mechanics Letters, Additive manufacturing and Carbon.
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.