Kundo Park

497 total citations
18 papers, 338 citations indexed

About

Kundo Park is a scholar working on Materials Chemistry, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Kundo Park has authored 18 papers receiving a total of 338 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Materials Chemistry, 6 papers in Automotive Engineering and 5 papers in Mechanical Engineering. Recurrent topics in Kundo Park's work include Machine Learning in Materials Science (8 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Kundo Park is often cited by papers focused on Machine Learning in Materials Science (8 papers), Additive Manufacturing and 3D Printing Technologies (6 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Kundo Park collaborates with scholars based in South Korea, United States and Italy. Kundo Park's co-authors include Seunghwa Ryu, Yongtae Kim, Grace X. Gu, Youngsoo Kim, Charles Yang, Jinkyoo Park, Donggeun Park, Junhyeong Lee, Mingyu Lee and Ikjin Lee and has published in prestigious journals such as Carbon, Composites Science and Technology and Advanced Science.

In The Last Decade

Kundo Park

16 papers receiving 327 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kundo Park South Korea 9 115 92 70 60 55 18 338
Vinamra Agrawal United States 12 110 1.0× 94 1.0× 71 1.0× 99 1.6× 97 1.8× 26 381
Kaiyong Jiang China 12 165 1.4× 52 0.6× 35 0.5× 54 0.9× 25 0.5× 50 343
Frederic E. Bock Germany 9 198 1.7× 118 1.3× 47 0.7× 106 1.8× 55 1.0× 10 422
Mohammed Ahmed Mohiuddin United States 10 122 1.1× 125 1.4× 93 1.3× 72 1.2× 29 0.5× 21 365
Pin Wen China 12 228 2.0× 85 0.9× 86 1.2× 107 1.8× 106 1.9× 32 447
Weihao Zhang China 13 230 2.0× 25 0.3× 119 1.7× 47 0.8× 29 0.5× 51 525
M. Sasikumar India 13 165 1.4× 52 0.6× 87 1.2× 106 1.8× 29 0.5× 30 469
L. Shan China 10 134 1.2× 130 1.4× 49 0.7× 242 4.0× 24 0.4× 20 499
Der Ho Wu Taiwan 10 168 1.5× 157 1.7× 99 1.4× 70 1.2× 37 0.7× 12 408
Xihang Jiang United States 7 248 2.2× 24 0.3× 116 1.7× 45 0.8× 76 1.4× 7 381

Countries citing papers authored by Kundo Park

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Kundo Park

This figure shows the co-authorship network connecting the top 25 collaborators of Kundo Park. A scholar is included among the top collaborators of Kundo Park 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 Kundo Park. Kundo Park is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Jung, Jiyoung, Kundo Park, & Grace X. Gu. (2025). Strength through curvature: Engineering multi-phase materials based on chiral aperiodic monotile patterns. Composite Structures. 365. 119131–119131. 2 indexed citations
2.
Jung, Jiyoung, Kundo Park, & Grace X. Gu. (2025). Exploring the mechanical properties of aperiodic monotile composite family through Gaussian process regression. Extreme Mechanics Letters. 78. 102370–102370. 1 indexed citations
4.
Park, Kundo, et al.. (2024). Innovative 3D printing of mechanoluminescent composites: Vat photopolymerization meets machine learning. Additive manufacturing. 90. 104324–104324. 9 indexed citations
5.
Jung, Jiyoung, et al.. (2024). Comparative Study of Multi‐objective Bayesian Optimization and NSGA‐III based Approaches for Injection Molding Process. Advanced Theory and Simulations. 7(7). 5 indexed citations
6.
Park, Donggeun, et al.. (2024). Optimization of grid composite configuration to maximize toughness using integrated hierarchical deep neural network and genetic algorithm. Materials & Design. 238. 112700–112700. 8 indexed citations
7.
Yang, Ziyue, Kundo Park, Jaewon Cho, et al.. (2024). Multi‐Objective Bayesian Optimization for Laminate‐Inspired Mechanically Reinforced Piezoelectric Self‐Powered Sensing Yarns. Advanced Science. 11(33). e2402440–e2402440. 11 indexed citations
8.
Lee, Junhyeong, Kyungseo Park, Kundo Park, et al.. (2024). Electrode Placement Optimization for Electrical Impedance Tomography Using Active Learning. Advanced Engineering Materials. 26(11).
9.
Lee, Junhyeong, Donggeun Park, Mingyu Lee, et al.. (2023). Machine learning-based inverse design methods considering data characteristics and design space size in materials design and manufacturing: a review. Materials Horizons. 10(12). 5436–5456. 59 indexed citations
11.
Park, Donggeun, Jaemin Lee, Kundo Park, & Seunghwa Ryu. (2023). Hierarchical Generative Network: A Hierarchical Multitask Learning Approach for Accelerated Composite Material Design and Discovery. Advanced Engineering Materials. 25(21). 4 indexed citations
12.
Kim, Yongtae, et al.. (2023). Designing directional adhesive pillars using deep learning-based optimization, 3D printing, and testing. Mechanics of Materials. 185. 104778–104778. 5 indexed citations
13.
Park, Kundo, et al.. (2023). Multi-objective Bayesian optimization for the design of nacre-inspired composites: optimizing and understanding biomimetics through AI. Materials Horizons. 10(10). 4329–4343. 20 indexed citations
14.
Park, Kundo, et al.. (2022). Designing staggered platelet composite structure with Gaussian process regression based Bayesian optimization. Composites Science and Technology. 220. 109254–109254. 26 indexed citations
15.
Park, Kundo, et al.. (2022). Isotropic 3D printing using material extrusion of thin shell and post-casting of reinforcement core. Additive manufacturing. 58. 102974–102974. 3 indexed citations
16.
Jung, Jiyoung, Kundo Park, Byungjin Cho, Jinkyoo Park, & Seunghwa Ryu. (2022). Optimization of injection molding process using multi-objective bayesian optimization and constrained generative inverse design networks. Journal of Intelligent Manufacturing. 34(8). 3623–3636. 27 indexed citations
17.
Kim, Yongtae, Youngsoo Kim, Charles Yang, et al.. (2021). Deep learning framework for material design space exploration using active transfer learning and data augmentation. npj Computational Materials. 7(1). 131 indexed citations
18.
Park, Kundo, Diego Scaccabarozzi, Claudio Sbarufatti, et al.. (2020). Coupled health monitoring system for CNT-doped self-sensing composites. Carbon. 166. 193–204. 25 indexed citations

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.

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