Il Hyo Jung

1.8k total citations
98 papers, 1.3k citations indexed

About

Il Hyo Jung is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Genetics. According to data from OpenAlex, Il Hyo Jung has authored 98 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Public Health, Environmental and Occupational Health, 31 papers in Modeling and Simulation and 20 papers in Genetics. Recurrent topics in Il Hyo Jung's work include Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), Stability and Controllability of Differential Equations (14 papers) and COVID-19 epidemiological studies (14 papers). Il Hyo Jung is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (31 papers), Stability and Controllability of Differential Equations (14 papers) and COVID-19 epidemiological studies (14 papers). Il Hyo Jung collaborates with scholars based in South Korea, Pakistan and China. Il Hyo Jung's co-authors include Gul Zaman, Yong Han Kang, Sangil Kim, Kwang Su Kim, Abid Ali Lashari, Jong Yeoul Park, Keum‐Shik Hong, Quang Hieu Ngo, Kazeem O. Okosun and Muhammad Ozair and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Il Hyo Jung

91 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Il Hyo Jung South Korea 17 604 581 263 159 156 98 1.3k
Rafael J. Villanueva Spain 21 378 0.6× 536 0.9× 123 0.5× 147 0.9× 71 0.5× 148 1.4k
Jean Lubuma South Africa 23 748 1.2× 903 1.6× 297 1.1× 262 1.6× 64 0.4× 90 1.6k
Rashid Jan Saudi Arabia 34 989 1.6× 1.5k 2.5× 147 0.6× 196 1.2× 203 1.3× 190 2.6k
Hirokazu Ninomiya Japan 20 710 1.2× 264 0.5× 219 0.8× 128 0.8× 162 1.0× 84 1.7k
S. Blythe United Kingdom 18 833 1.4× 382 0.7× 380 1.4× 87 0.5× 126 0.8× 32 1.7k
Yong Han Kang South Korea 11 388 0.6× 357 0.6× 139 0.5× 77 0.5× 185 1.2× 44 709
Parvaiz Ahmad Naik China 27 1.1k 1.8× 1.3k 2.2× 284 1.1× 130 0.8× 139 0.9× 66 2.1k
Ali Raza Pakistan 23 828 1.4× 969 1.7× 208 0.8× 184 1.2× 72 0.5× 153 1.5k
Long Zhang China 24 811 1.3× 620 1.1× 458 1.7× 111 0.7× 114 0.7× 102 1.9k
Mostafa Rachik Morocco 20 633 1.0× 669 1.2× 189 0.7× 211 1.3× 128 0.8× 154 1.3k

Countries citing papers authored by Il Hyo Jung

Since Specialization
Citations

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

Fields of papers citing papers by Il Hyo Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Il Hyo 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 Il Hyo Jung. The network helps show where Il Hyo Jung may publish in the future.

Co-authorship network of co-authors of Il Hyo Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Il Hyo Jung. A scholar is included among the top collaborators of Il Hyo 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 Il Hyo Jung. Il Hyo 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.
Kim, Je Hyeong, Ju‐Hyun Bae, Il Hyo Jung, et al.. (2025). Plant-derived nanovesicles and therapeutic application. Pharmacology & Therapeutics. 269. 108832–108832. 10 indexed citations
2.
Jung, Il Hyo, et al.. (2024). Stability and fold bifurcation in a three-species model with mutual interference on parasitoids and hyperparasitoids. Advances in Continuous and Discrete Models. 2024(1).
3.
Kamran, Muhammad Ahmad, et al.. (2022). Synchronization Analysis of Multiple FitzHugh-Nagumo Noisy and Nonnoisy Neurobiological Networks. Mathematical Problems in Engineering. 2022. 1–23.
4.
Ejima, Keisuke, Kwang Su Kim, Shoya Iwanami, et al.. (2022). Designing isolation guidelines for COVID-19 patients with rapid antigen tests. Nature Communications. 13(1). 4910–4910. 19 indexed citations
5.
Kamran, Muhammad Ahmad, et al.. (2022). Lag Synchronization of Noisy and Nonnoisy Multiple Neurobiological Coupled FitzHugh–Nagumo Networks with and without Delayed Coupling. Computational Intelligence and Neuroscience. 2022. 1–23. 2 indexed citations
6.
Ejima, Keisuke, Kwang Su Kim, Shoya Iwanami, et al.. (2021). Revisiting the guidelines for ending isolation for COVID-19 patients. eLife. 10. 16 indexed citations
7.
8.
Jung, Il Hyo, et al.. (2020). SYNCHRONIZATION OF UNIDIRECTIONAL RING STRUCTURED IDENTICAL FITZHUGH-NAGUMO NETWORK UNDER IONIC AND EXTERNAL ELECTRICAL STIMULATIONS. East Asian Mathematical Journal. 36(5). 547–554. 2 indexed citations
9.
Jung, Il Hyo, et al.. (2020). A mathematical model for assessing the effectiveness of controlling relapse in Plasmodium vivax malaria endemic in the Republic of Korea. PLoS ONE. 15(1). e0227919–e0227919. 11 indexed citations
10.
Kamran, Muhammad Ahmad, et al.. (2020). Impact of Awareness to Control Malaria Disease: A Mathematical Modeling Approach. Complexity. 2020. 1–13. 16 indexed citations
11.
Balachandran, K., et al.. (2019). DYNAMICS OF A MODIFIED HOLLING-TANNER PREDATOR-PREY MODEL WITH DIFFUSION. Journal of the Korea Society for Industrial and Applied Mathematics. 23(2). 139–155. 1 indexed citations
12.
Jung, Il Hyo, et al.. (2018). An Impulsive Stage-Structured Optimal Control Problem and Optimal Harvest Strategy of Pacific Cod, Gadus Microcephalus, in the South Korea. East Asian Mathematical Journal. 34(5). 683–691. 1 indexed citations
13.
Kim, Kwang Su, et al.. (2018). Optimal Control Strategies Depending on Interest Level for the Spread of Rumor. Discrete Dynamics in Nature and Society. 2018. 1–15. 6 indexed citations
14.
Jung, Il Hyo, et al.. (2017). Analysis of a vector-bias effect in the spread of malaria between two different incidence areas. Journal of Theoretical Biology. 419. 66–76. 13 indexed citations
15.
Kim, Kwang Su, et al.. (2016). State‐Dependent Impulsive Control Strategies for a Tumor‐Immune Model. Discrete Dynamics in Nature and Society. 2016(1). 6 indexed citations
16.
Kim, Dae-Wook & Il Hyo Jung. (2011). Some boundary feedback control of a Nonlinear string equation of Kirchhoff-Carrier type. International Conference on Control, Automation and Systems. 254–257. 2 indexed citations
17.
Islam, Saeed, et al.. (2011). Optimal homotopy asymptotic method solution to convection heat transfer flow. International Journal of the Physical Sciences. 6(23). 5511–5519. 2 indexed citations
18.
Zaman, Gul, Yong Han Kang, & Il Hyo Jung. (2007). Optimal vaccination and treatment in the SIR epidemic model. 3(2). 31–33. 12 indexed citations
19.
Ding, Xie Ping, Jong Yeoul Park, & Il Hyo Jung. (2003). Pareto equilibria for constrained multiobjective games in locally L-convex spaces. Computers & Mathematics with Applications. 46(10-11). 1589–1599. 9 indexed citations
20.
Ding, Xie Ping, et al.. (2002). Existence of solutions for nonlinear inequalities in G-convex spaces. Applied Mathematics Letters. 15(6). 735–741. 7 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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