Won Soon Chang

651 citations
28 papers · 529 · h-index 10

Impact in

Papers in

Won Soon Chang

26 papers receiving 503 citations

Peers

Won Soon Chang
Comparison fields: 5 of 48
  • Computational Mechanics 212
  • Mechanical Engineering 367
  • Fluid Flow and Transfer Processes 46
  • Aerospace Engineering 120
  • Renewable Energy, Sustainability and the Environment 52
Replace Shiva Singh with:
Shiva Singh India
C. Nonino Italy
Xianghua Xu China
Tim Ameel United States
Marco Lorenzini Italy
Yasuyoshi Kato Japan
Konstantin Nikitin Japan
Y. Jaluria United States
Timothy A. Ameel United States
Janusz T. Cieśliński Poland
Won Soon Chang relative to Shiva Singh India Shiva Singh's profile →
Citations per field
00.5×1.5×2.3×
Shiva Singh · 1×
Citations per year

Countries citing papers authored by Won Soon Chang

Since Specialization
Citations

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

Fields of papers citing papers by Won Soon Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Soon Chang. 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 Won Soon Chang. The network helps show where Won Soon Chang may publish in the future.

Co-authors

The 13 scholars most cited alongside Won Soon Chang, 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 Won Soon Chang Line = papers co-authored together Won Soon Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989136
2 199988
3 199071
4 198542
5 200937
6 199134
7 198428
8 199125
9 199711
10 19929
11
Heat Transfer from Stable, Evaporating Thin Films in the Neighborhood of a Contact Line
19937
12 19937
13 19925
14 19925
15 19853
16 19983
17 19913
18 19983
19 19982
20 19902

About Won Soon Chang

Won Soon Chang is a scholar working on Mechanical Engineering, Computational Mechanics, Aerospace Engineering, Mathematical Physics and Control and Systems Engineering, having authored 28 papers that have together received 529 indexed citations. Recurring topics across this work include Heat Transfer and Boiling Studies (16 papers), Heat Transfer and Optimization (13 papers), Heat Transfer Mechanisms (4 papers), Combustion and flame dynamics (4 papers), Radiative Heat Transfer Studies (3 papers), Numerical methods in inverse problems (3 papers), Thermoelastic and Magnetoelastic Phenomena (3 papers) and Thermal Analysis in Power Transmission (3 papers). The work is most often cited by research in Computational Mechanics (212 citations), Mechanical Engineering (367 citations), Fluid Flow and Transfer Processes (46 citations), Aerospace Engineering (120 citations) and Renewable Energy, Sustainability and the Environment (52 citations). Won Soon Chang has collaborated with scholars based in United States, Switzerland and South Korea. Frequent co-authors include Amir Faghri, Yiding Cao, Louis C. Chow, Tae Y. Choi, Chang‐Soo Han, Dimos Poulikakos, Kevin P. Hallinan, Martin R. Pais, Jeffrey R. Brown and David M. Pratt. Their work appears in journals such as Journal of Thermophysics and Heat Transfer, International Journal of Heat and Mass Transfer, Numerical Heat Transfer Part B Fundamentals, Journal of Heat Transfer and Nanotechnology.

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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