Kundo Park

537 citations
18 papers · 361 · h-index 9

Impact in

Papers in

Kundo Park

17 papers receiving 358 citations

Peers

Kundo Park
Comparison fields: 5 of 72
  • Industrial and Manufacturing Engineering 52
  • Automotive Engineering 55
  • Mechanical Engineering 118
  • Mechanics of Materials 61
  • Civil and Structural Engineering 53
Replace Kaiyong Jiang with:
Kaiyong Jiang China
Frederic E. Bock Germany
Anaïs Barasinski France
Pin Wen China
Weihao Zhang China
Rolanas Daukševičius Lithuania
Mohammed Ahmed Mohiuddin United States
Benedikt Finke Germany
Ewald Fauster Austria
Charnnarong Saikaew Thailand
Kundo Park relative to Kaiyong Jiang China Kaiyong Jiang's profile →
Citations per field
00.5×1.5×2.3×
Kaiyong Jiang · 1×
Citations per year

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-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.

Border = papers with Kundo Park Line = papers co-authored together Kundo Park links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2021140
2 202364
3 202231
4 202227
5 202024
6 202323
7 202412
8 20248
9 20248
10 20236
11 20245
12 20234
13 20223
14 20252
15 20232
16 20251
17 20251
18 20240

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 361 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), Calcium Carbonate Crystallization and Inhibition (3 papers), Advanced Multi-Objective Optimization Algorithms (3 papers), Topology Optimization in Engineering (3 papers), Injection Molding Process and Properties (2 papers) and Material Selection and Properties (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (52 citations), Automotive Engineering (55 citations), Mechanical Engineering (118 citations), Mechanics of Materials (61 citations) and Civil and Structural Engineering (53 citations). Kundo Park has collaborated with scholars based in South Korea, United States and Italy. Frequent co-authors include Grace X. Gu, Yongtae Kim, Charles Yang, Youngsoo Kim, Jinkyoo Park, Donggeun Park, Junhyeong Lee, Ikjin Lee, Mingyu Lee and Jiyoung Jung. Their work appears in journals such as Advanced Engineering Materials, Materials Horizons, 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.

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