Joon Chung

693 citations
48 papers · 434 · h-index 13

Impact in

Papers in

Joon Chung

44 papers receiving 406 citations

Peers

Joon Chung
Comparison fields: 5 of 81
  • Statistics, Probability and Uncertainty 80
  • Aerospace Engineering 218
  • Computational Theory and Mathematics 88
  • Computational Mechanics 110
  • Global and Planetary Change 94
Replace Raymond de Callafon with:
Raymond de Callafon United States
K. Sham Bhat United States
Toru Asai Japan
Rajkumar S. Pant India
A. Cengiz Öztireli Switzerland
Xixiang Yang China
Cunbao Ma China
Yupin Luo China
Kathiravan Thangavel United Arab Emirates
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Citations per field
00.5×10×15×17.6×
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Citations per year

Countries citing papers authored by Joon Chung

Since Specialization
Citations

This map shows the geographic impact of Joon Chung'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 Joon Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joon Chung more than expected).

Fields of papers citing papers by Joon Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joon Chung. 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 Joon Chung. The network helps show where Joon Chung may publish in the future.

Co-authors

The 25 scholars most cited alongside Joon Chung, 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 Joon Chung Line = papers co-authored together Joon Chung links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 48 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200046
2 201944
3 201144
4 201023
5 201923
6 200923
7 201121
8 201518
9 201617
10 200515
11 201414
12 200313
13 202312
14 200010
15 20149
16 20229
17 20187
18 20226
19 20116
20 20055

About Joon Chung

Joon Chung is a scholar working on Aerospace Engineering, Global and Planetary Change, Computational Theory and Mathematics, Statistics, Probability and Uncertainty and Automotive Engineering, having authored 48 papers that have together received 434 indexed citations. Recurring topics across this work include Advanced Aircraft Design and Technologies (17 papers), Advanced Multi-Objective Optimization Algorithms (11 papers), Probabilistic and Robust Engineering Design (9 papers), Aerospace and Aviation Technology (7 papers), Biomimetic flight and propulsion mechanisms (6 papers), Aerospace Engineering and Energy Systems (5 papers), Fluid Dynamics and Turbulent Flows (5 papers) and Optimal Experimental Design Methods (4 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (80 citations), Aerospace Engineering (218 citations), Computational Theory and Mathematics (88 citations), Computational Mechanics (110 citations) and Global and Planetary Change (94 citations). Joon Chung has collaborated with scholars based in Canada, South Korea and China. Frequent co-authors include Kamran Behdinan, Dong‐Ha Kim, Dong-Ha Kim, Jae Wook Lee, Jae-Woo Lee, Jo Won Chang, Pierre E. Sullivan, Michael Ohh, Andrew M. Roberts and Dong Ha Kim. Their work appears in journals such as Aerospace Science and Technology, Structural and Multidisciplinary Optimization, The Aeronautical Journal, Journal of Aircraft and Value in Health.

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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