Jae-Hun Jung

1.3k total citations
88 papers, 921 citations indexed

About

Jae-Hun Jung is a scholar working on Electrical and Electronic Engineering, Mechanics of Materials and Computational Mechanics. According to data from OpenAlex, Jae-Hun Jung has authored 88 papers receiving a total of 921 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 13 papers in Mechanics of Materials and 13 papers in Computational Mechanics. Recurrent topics in Jae-Hun Jung's work include Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods in engineering (8 papers) and Numerical methods in inverse problems (6 papers). Jae-Hun Jung is often cited by papers focused on Advanced Numerical Methods in Computational Mathematics (10 papers), Numerical methods in engineering (8 papers) and Numerical methods in inverse problems (6 papers). Jae-Hun Jung collaborates with scholars based in South Korea, United States and Canada. Jae-Hun Jung's co-authors include Bernie D. Shizgal, Dongwook Kim, Yuna Seo, Sigal Gottlieb, Jangsun Hwang, Jin Ho Chang, Hyunjin Lee, Chungmin Han, Hyejin Kang and Jonghoon Choi and has published in prestigious journals such as Advanced Materials, Applied Physics Letters and PLoS ONE.

In The Last Decade

Jae-Hun Jung

69 papers receiving 867 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jae-Hun Jung South Korea 16 203 192 137 136 133 88 921
Clemens Heitzinger Austria 21 104 0.5× 499 2.6× 126 0.9× 166 1.2× 388 2.9× 125 1.1k
James W.H. Brown United States 9 135 0.7× 106 0.6× 27 0.2× 69 0.5× 57 0.4× 37 791
Johan L. A. Dubbeldam Netherlands 18 136 0.7× 345 1.8× 116 0.8× 120 0.9× 374 2.8× 45 1.2k
Hai Zhang China 16 50 0.2× 218 1.1× 66 0.5× 202 1.5× 344 2.6× 53 996
Li Xiao China 16 186 0.9× 27 0.1× 166 1.2× 134 1.0× 118 0.9× 61 1.1k
Kun Zhao United States 19 259 1.3× 445 2.3× 38 0.3× 193 1.4× 81 0.6× 76 1.6k
Bingchen Liu China 16 26 0.1× 142 0.7× 120 0.9× 36 0.3× 45 0.3× 127 871
Qi Duan China 19 97 0.5× 132 0.7× 84 0.6× 317 2.3× 237 1.8× 69 1.1k
Tianqi Wu China 17 369 1.8× 87 0.5× 265 1.9× 73 0.5× 23 0.2× 46 993
Yasuaki Hiraoka Japan 20 160 0.8× 42 0.2× 296 2.2× 44 0.3× 76 0.6× 57 1.4k

Countries citing papers authored by Jae-Hun Jung

Since Specialization
Citations

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

Fields of papers citing papers by Jae-Hun Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jae-Hun Jung. 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 Jae-Hun Jung. The network helps show where Jae-Hun Jung may publish in the future.

Co-authorship network of co-authors of Jae-Hun Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Jae-Hun Jung. A scholar is included among the top collaborators of Jae-Hun Jung 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 Jae-Hun Jung. Jae-Hun Jung 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.
Im, Myungshin, Seo-Won Chang, Jae-Hun Jung, et al.. (2025). GECKO Follow-up Observations of the Binary Neutron Star–Black Hole Merger Candidate S230518h. The Astrophysical Journal. 981(1). 38–38.
2.
Chen, Xinjuan, et al.. (2025). Explicit radial basis function Runge–Kutta methods. Numerical Algorithms. 1 indexed citations
3.
Olmos‐Liceaga, Daniel, et al.. (2025). A numerical study of WENO approximations to sharp propagating fronts for reaction-diffusion systems. Applied Numerical Mathematics. 211. 1–16.
4.
Jeong, Seogsong, Seulggie Choi, Yun Hwan Oh, et al.. (2024). Inverse association with COVID-19 vaccination status of the incidence of pneumonia after SARS-CoV-2 infection: A nationwide retrospective cohort study. Journal of Infection and Public Health. 17(4). 650–656.
5.
Jung, Jae-Hun & Daniel Olmos‐Liceaga. (2023). A Chebyshev multidomain adaptive mesh method for reaction-diffusion equations. Applied Numerical Mathematics. 190. 283–302. 2 indexed citations
6.
Jadhav, Sachin, Girijesh Kumar Patel, Priyanka Gupta, et al.. (2023). Exosomes/EVs: DEVELOPMENT OF AN END-TO-END SCALABLE PURIFICATION PLATFORM FOR EXTRACELLULAR VESICLES. Cytotherapy. 25(6). S111–S111.
7.
Park, Eun-Joo, Yujin Baek, Jae-Hun Jung, et al.. (2023). Development of exosome membrane materials-fused microbubbles for enhanced stability and efficient drug delivery of ultrasound contrast agent. Acta Pharmaceutica Sinica B. 13(12). 4983–4998. 15 indexed citations
8.
Jung, Jae-Hun, et al.. (2023). The effects of topological features on convolutional neural networks—an explanatory analysis via Grad-CAM. Machine Learning Science and Technology. 4(3). 35019–35019. 1 indexed citations
9.
Jung, Jae-Hun, et al.. (2021). Immunostaining Extracellular Vesicles Based on an Aqueous Two-Phase System: For Analysis of Tetraspanins. ACS Applied Bio Materials. 4(4). 3294–3303. 6 indexed citations
10.
Seo, Doochun, et al.. (2020). Characteristics of KOMPSAT-3A Key Image Quality Parameters During Normal Operation Phase. National Remote Sensing Bulletin. 36. 1493–1507. 2 indexed citations
11.
Jung, Jae-Hun, et al.. (2020). A Study on the Seamline Estimation for Mosaicking of KOMPSAT-3 Images. National Remote Sensing Bulletin. 36(6). 1537–1549. 1 indexed citations
12.
Kim, Haemin, Hohyeon Lee, Jangsun Hwang, et al.. (2020). Exosome-based photoacoustic imaging guided photodynamic and immunotherapy for the treatment of pancreatic cancer. Journal of Controlled Release. 330. 293–304. 97 indexed citations
13.
Jung, Jae-Hun, et al.. (2017). A numerical study of the local monotone polynomial edge detection for the hybrid WENO method. Journal of Computational and Applied Mathematics. 321. 232–245. 2 indexed citations
14.
Jung, Jae-Hun, et al.. (2010). Effects of temperature and catalysts on the synthesis of carbon nanotubes by chemical vapor deposition. Metals and Materials International. 16(4). 663–667. 10 indexed citations
15.
Shin, Kyomin, Hanna Lee, Jae-Hun Jung, et al.. (2009). Non‐invasive Transdermal Delivery Route Using Electrostatically Interactive Biocompatible Nanocapsules. Advanced Materials. 22(6). 739–743. 14 indexed citations
16.
Jung, Jae-Hun, et al.. (2007). Study of Artificial Aging Procedure for Asphalt Mixtures. International Journal of Highway Engineering. 9(4). 45–54. 4 indexed citations
17.
Kim, Kwang-Woo, et al.. (2006). Statistical Evaluation of Validity of KS Asphalt Penetration Grade System. International Journal of Highway Engineering. 8(4). 125–133. 1 indexed citations
18.
Jung, Jae-Hun. (2006). A note on the Gibbs phenomenon with multiquadric radial basis functions. Applied Numerical Mathematics. 57(2). 213–229. 37 indexed citations
19.
Jung, Jae-Hun, et al.. (2004). Optical properties and electronic structures in InAs/GaAs quantum dots. Journal of the Korean Physical Society. 45.
20.
Jung, Jae-Hun & Bernie D. Shizgal. (2004). Generalization of the inverse polynomial reconstruction method in the resolution of the Gibbs phenomenon. Journal of Computational and Applied Mathematics. 172(1). 131–151. 46 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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