Inkyung Ahn

727 total citations
52 papers, 539 citations indexed

About

Inkyung Ahn is a scholar working on Public Health, Environmental and Occupational Health, Genetics and Modeling and Simulation. According to data from OpenAlex, Inkyung Ahn has authored 52 papers receiving a total of 539 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Public Health, Environmental and Occupational Health, 36 papers in Genetics and 33 papers in Modeling and Simulation. Recurrent topics in Inkyung Ahn's work include Mathematical and Theoretical Epidemiology and Ecology Models (42 papers), Evolution and Genetic Dynamics (36 papers) and Mathematical Biology Tumor Growth (24 papers). Inkyung Ahn is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (42 papers), Evolution and Genetic Dynamics (36 papers) and Mathematical Biology Tumor Growth (24 papers). Inkyung Ahn collaborates with scholars based in South Korea, China and United States. Inkyung Ahn's co-authors include Kimun Ryu, Wonlyul Ko, Changwook Yoon, Zhigui Lin, Jooyoung Park, Kwang-Joong Kim, Lige Li, Jong‐Shenq Guo, Taehwan Kim and Kyung Hyun Kim and has published in prestigious journals such as Journal of Theoretical Biology, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Inkyung Ahn

46 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inkyung Ahn South Korea 13 455 340 319 80 76 52 539
Zhengyi Lu China 16 498 1.1× 194 0.6× 258 0.8× 69 0.9× 141 1.9× 45 641
Kousuke Kuto Japan 13 549 1.2× 422 1.2× 348 1.1× 132 1.6× 106 1.4× 37 653
Huidong Cheng China 14 358 0.8× 161 0.5× 211 0.7× 45 0.6× 95 1.3× 28 449
Zhihua Liu China 14 437 1.0× 208 0.6× 207 0.6× 101 1.3× 92 1.2× 38 496
Hebatallah J. Alsakaji United Arab Emirates 14 405 0.9× 395 1.2× 165 0.5× 42 0.5× 29 0.4× 17 544
Mohamed El Fatini Morocco 16 562 1.2× 523 1.5× 310 1.0× 55 0.7× 27 0.4× 68 696
Dianli Zhao China 12 272 0.6× 216 0.6× 155 0.5× 74 0.9× 29 0.4× 33 390
Xin-You Meng China 16 602 1.3× 287 0.8× 364 1.1× 55 0.7× 143 1.9× 49 670
Gaël Raoul France 11 209 0.5× 226 0.7× 133 0.4× 98 1.2× 48 0.6× 13 415
Yi Song China 11 299 0.7× 201 0.6× 184 0.6× 31 0.4× 61 0.8× 33 425

Countries citing papers authored by Inkyung Ahn

Since Specialization
Citations

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

Fields of papers citing papers by Inkyung Ahn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inkyung Ahn

This figure shows the co-authorship network connecting the top 25 collaborators of Inkyung Ahn. A scholar is included among the top collaborators of Inkyung Ahn 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 Inkyung Ahn. Inkyung Ahn 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.
Ahn, Inkyung, et al.. (2024). Spreading dynamics for an epidemic model of West-Nile virus with shifting environment. Nonlinear Analysis Real World Applications. 80. 104144–104144. 1 indexed citations
2.
Ahn, Inkyung, et al.. (2024). A risk-induced dispersal strategy of the infected population for a disease-free state in the SIS epidemic model. Journal of Biological Dynamics. 18(1). 2352359–2352359.
3.
Ahn, Inkyung, et al.. (2023). Predator–prey models with different starvation-driven diffusions and resources. Discrete and Continuous Dynamical Systems - S. 17(4). 1430–1445. 2 indexed citations
4.
Lee, Gibaek, Ho‐Young Kang, Jae-Chan Lee, et al.. (2022). Fabrication of Ni Nanoparticle-Embedded Porous Carbon Nanofibers Through Selective Etching of Selectively Oxidized MgO. Electronic Materials Letters. 18(2). 198–204. 4 indexed citations
5.
Ahn, Inkyung, et al.. (2022). On the Fitness of Predators with Prey-Induced Dispersal in a Habitat with Spatial Heterogeneity. Bulletin of Mathematical Biology. 84(10). 111–111. 2 indexed citations
6.
Kim, Kwang-Joong, et al.. (2021). Reaction-advection-diffusion competition models under lethal boundary conditions. Discrete and Continuous Dynamical Systems - B. 27(9). 4749–4749. 1 indexed citations
7.
Ahn, Inkyung, et al.. (2020). Effect of diffusion in a spatial SIS epidemic model with spontaneous infection. Discrete and Continuous Dynamical Systems - B. 26(8). 4045–4057. 2 indexed citations
8.
Ahn, Inkyung, et al.. (2018). Strong competition model with non-uniform dispersal in a heterogeneous environment. Applied Mathematics Letters. 88. 96–102. 12 indexed citations
9.
Ahn, Inkyung, et al.. (2016). The spreading fronts of an infective environment in a man–environment–man epidemic model. Applied Mathematical Modelling. 40(15-16). 7082–7101. 51 indexed citations
10.
Ko, Wonlyul, Inkyung Ahn, & Shengqiang Liu. (2015). Asymptotical behaviors of a general diffusive consumer-resource model with maturation delay. Discrete and Continuous Dynamical Systems - B. 20(6). 1715–1733. 2 indexed citations
11.
Ahn, Inkyung, et al.. (2014). Investigation of the C-SEIRA model for controlling malicious code infection in computer networks. Applied Mathematical Modelling. 39(14). 4121–4133. 17 indexed citations
12.
Ko, Wonlyul & Inkyung Ahn. (2012). A diffusive one-prey and two-competing-predator system with a ratio-dependent functional response: II stationary pattern formation. Journal of Mathematical Analysis and Applications. 397(1). 29–45. 9 indexed citations
13.
Ahn, Inkyung, et al.. (2011). Upper–lower solutions for nonlinear parabolic systems and their applications. Journal of Mathematical Analysis and Applications. 378(2). 620–633. 2 indexed citations
14.
Ahn, Inkyung, et al.. (2011). Drug scheduling of cancer chemotherapy based on natural actor-critic approach. Biosystems. 106(2-3). 121–129. 16 indexed citations
15.
Li, Lige, et al.. (2007). A theorem on upper–lower solutions for nonlinear elliptic systems and its applications. Journal of Mathematical Analysis and Applications. 340(1). 175–182. 4 indexed citations
16.
Ko, Wonlyul & Inkyung Ahn. (2007). Analysis of ratio-dependent food chain model. Journal of Mathematical Analysis and Applications. 335(1). 498–523. 35 indexed citations
17.
Ryu, Kimun & Inkyung Ahn. (2005). Positive solutions for ratio-dependent predator–prey interaction systems. Journal of Differential Equations. 218(1). 117–135. 38 indexed citations
18.
Ryu, Kimun & Inkyung Ahn. (2003). Coexistence theorem of steady states for nonlinear self-cross diffusion systems with competitive dynamics. Journal of Mathematical Analysis and Applications. 283(1). 46–65. 49 indexed citations
19.
Ryu, Kimun & Inkyung Ahn. (2001). POSITIVE COEXISTENCE OF STEADY STATES FOR COMPETITIVE INTERACTING SYSTEM WITH SELF-DIFFUSION PRESSURES. Bulletin of the Korean Mathematical Society. 38(4). 643–655. 11 indexed citations
20.
Ahn, Inkyung. (1997). Mathematical Models describing Interactons between Certain Two Species with Nonlinear Diffusions. 110–115.

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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