Yoonjin Won

1.9k total citations
81 papers, 1.5k citations indexed

About

Yoonjin Won is a scholar working on Mechanical Engineering, Materials Chemistry and Electrical and Electronic Engineering. According to data from OpenAlex, Yoonjin Won has authored 81 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Mechanical Engineering, 31 papers in Materials Chemistry and 27 papers in Electrical and Electronic Engineering. Recurrent topics in Yoonjin Won's work include Heat Transfer and Boiling Studies (24 papers), Heat Transfer and Optimization (16 papers) and Surface Modification and Superhydrophobicity (15 papers). Yoonjin Won is often cited by papers focused on Heat Transfer and Boiling Studies (24 papers), Heat Transfer and Optimization (16 papers) and Surface Modification and Superhydrophobicity (15 papers). Yoonjin Won collaborates with scholars based in United States, South Korea and Japan. Yoonjin Won's co-authors include Kenneth E. Goodson, Mehdi Asheghi, Youngjoon Suh, Damena Agonafer, Quang N. Pham, Jungwan Cho, Michael T. Barako, Hyoungsoon Lee, Ramin Bostanabad and Bowen Shao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Applied Physics Letters and Journal of Applied Physics.

In The Last Decade

Yoonjin Won

78 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoonjin Won United States 24 584 540 513 303 276 81 1.5k
Dong-Chuan Mo China 26 686 1.2× 900 1.7× 553 1.1× 305 1.0× 323 1.2× 83 2.1k
Zongwei Xu China 25 403 0.7× 960 1.8× 658 1.3× 323 1.1× 885 3.2× 128 1.9k
Yijian Jiang China 22 299 0.5× 755 1.4× 514 1.0× 181 0.6× 472 1.7× 87 1.4k
Chang‐Pin Chou Taiwan 21 279 0.5× 682 1.3× 520 1.0× 153 0.5× 339 1.2× 68 1.3k
Daosheng Deng China 19 234 0.4× 285 0.5× 504 1.0× 194 0.6× 613 2.2× 39 1.3k
Pragya Tiwari India 23 713 1.2× 822 1.5× 349 0.7× 124 0.4× 224 0.8× 85 1.7k
Michael Kopnarski Germany 22 738 1.3× 741 1.4× 336 0.7× 196 0.6× 316 1.1× 124 1.7k
Haisheng Fang China 17 186 0.3× 242 0.4× 379 0.7× 184 0.6× 168 0.6× 74 862
Yunwei Mao United States 19 431 0.7× 979 1.8× 268 0.5× 82 0.3× 751 2.7× 28 2.0k
Peter Schweizer Switzerland 20 181 0.3× 620 1.1× 739 1.4× 218 0.7× 252 0.9× 65 1.5k

Countries citing papers authored by Yoonjin Won

Since Specialization
Citations

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

Fields of papers citing papers by Yoonjin Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoonjin Won

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

All Works

20 of 20 papers shown
1.
Suh, Youngjoon, Aparna Chandramowlishwaran, & Yoonjin Won. (2024). Recent progress of artificial intelligence for liquid-vapor phase change heat transfer. npj Computational Materials. 10(1). 16 indexed citations
2.
Suh, Youngjoon, et al.. (2024). DropletMask: Leveraging visual data for droplet impact analysis. 3(4). 2 indexed citations
3.
4.
Won, Yoonjin, et al.. (2024). Multi-Fidelity Design of Porous Microstructures for Thermofluidic Applications. Journal of Mechanical Design. 146(10). 3 indexed citations
5.
Suh, Youngjoon, et al.. (2023). Rapid identification of boiling crisis with event-based visual streaming analysis. Applied Thermal Engineering. 239. 122004–122004. 9 indexed citations
6.
Chang, S., et al.. (2023). BubbleMask: Autonomous visualization of digital flow bubbles for predicting critical heat flux. International Journal of Heat and Mass Transfer. 217. 124656–124656. 7 indexed citations
7.
Yin, Chenxi, et al.. (2023). Machine Learning Analysis of Autonomous Vehicle Sensors Under Extreme Conditions in Alaska. Journal of Electronic Packaging. 145(4). 1 indexed citations
8.
Suh, Youngjoon, S. Chang, Muhammad Jahidul Hoque, et al.. (2023). VISION-iT: Deep Nuclei Tracking Framework for Digitalizing Bubbles and Droplets. SSRN Electronic Journal. 4 indexed citations
9.
Suh, Youngjoon, Xiao Yan, Soumyadip Sett, et al.. (2021). A Deep Learning Perspective on Dropwise Condensation. Advanced Science. 8(22). e2101794–e2101794. 40 indexed citations
10.
Suh, Youngjoon, Ramin Bostanabad, & Yoonjin Won. (2021). Deep learning predicts boiling heat transfer. Scientific Reports. 11(1). 5622–5622. 66 indexed citations
11.
Suh, Youngjoon, Xiao Yan, Soumyadip Sett, et al.. (2021). A Deep Learning Perspective on Dropwise Condensation (Adv. Sci. 22/2021). Advanced Science. 8(22). 1 indexed citations
12.
Won, Yoonjin, et al.. (2021). Microflow-Enhanced Bubble Dynamics Along With Gradient Porous Surfaces. Journal of Electronic Packaging. 143(4). 2 indexed citations
13.
Suh, Youngjoon, et al.. (2020). In situ investigation of particle clustering dynamics in colloidal assemblies using fluorescence microscopy. Journal of Colloid and Interface Science. 576. 195–202. 6 indexed citations
14.
George, Derosh, Adrian Garcia, Tuo Zhou, et al.. (2020). Fabrication of patterned graphitized carbon wires using low voltage near-field electrospinning, pyrolysis, electrodeposition, and chemical vapor deposition. Microsystems & Nanoengineering. 6(1). 7–7. 27 indexed citations
15.
Shao, Bowen, et al.. (2018). Two-Level Copper Oxide Nanostructured Surfaces for Condensation Heat Transfer. 12–18. 2 indexed citations
16.
17.
Pham, Quang N., Michael T. Barako, Jesse Tice, & Yoonjin Won. (2017). Microscale Liquid Transport in Polycrystalline Inverse Opals across Grain Boundaries. Scientific Reports. 7(1). 10465–10465. 42 indexed citations
18.
Agonafer, Damena, Hyoungsoon Lee, Pablo Vásquez, et al.. (2017). Porous micropillar structures for retaining low surface tension liquids. Journal of Colloid and Interface Science. 514. 316–327. 31 indexed citations
19.
Pham, Quang N., et al.. (2017). Controlled Wetting Properties through Heterogeneous Surfaces Containing Two-level Nanofeatures. ACS Omega. 2(11). 7916–7922. 9 indexed citations
20.
Palko, James W., Hyoungsoon Lee, Chi Zhang, et al.. (2017). Extreme Two‐Phase Cooling from Laser‐Etched Diamond and Conformal, Template‐Fabricated Microporous Copper. Advanced Functional Materials. 27(45). 114 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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