Hee‐Dae Kwon

1.0k total citations
24 papers, 793 citations indexed

About

Hee‐Dae Kwon is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Virology. According to data from OpenAlex, Hee‐Dae Kwon has authored 24 papers receiving a total of 793 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Public Health, Environmental and Occupational Health, 9 papers in Modeling and Simulation and 6 papers in Virology. Recurrent topics in Hee‐Dae Kwon's work include Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (7 papers) and HIV Research and Treatment (6 papers). Hee‐Dae Kwon is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (16 papers), COVID-19 epidemiological studies (7 papers) and HIV Research and Treatment (6 papers). Hee‐Dae Kwon collaborates with scholars based in South Korea, United States and Poland. Hee‐Dae Kwon's co-authors include Hien Tran, Brian M. Adams, Kbenesh W. Blayneh, Yanzhao Cao, H. T. Banks, H. T. Banks, Marie Davidian, Eric Rosenberg, Shannon Wynne and Jeehyun Lee and has published in prestigious journals such as PLoS ONE, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

In The Last Decade

Hee‐Dae Kwon

21 papers receiving 724 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hee‐Dae Kwon South Korea 10 540 249 233 169 165 24 793
Brian M. Adams United States 9 277 0.5× 87 0.3× 209 0.9× 95 0.6× 68 0.4× 28 570
Xia Wang China 19 743 1.4× 407 1.6× 268 1.2× 144 0.9× 422 2.6× 70 993
Livingstone S. Luboobi Uganda 17 583 1.1× 392 1.6× 74 0.3× 188 1.1× 224 1.4× 82 883
E. Fabián Cardozo-Ojeda United States 12 244 0.5× 183 0.7× 178 0.8× 501 3.0× 46 0.3× 33 734
Naveen K. Vaidya United States 18 364 0.7× 250 1.0× 326 1.4× 418 2.5× 123 0.7× 59 1.0k
Edward A. Wenger United States 19 767 1.4× 247 1.0× 104 0.4× 430 2.5× 108 0.7× 33 1.4k
Hongying Shu China 17 1.1k 2.1× 602 2.4× 164 0.7× 62 0.4× 766 4.6× 45 1.3k
Cruz Vargas‐De‐León Mexico 16 862 1.6× 696 2.8× 43 0.2× 104 0.6× 357 2.2× 69 1.2k
Abdessamad Tridane United Arab Emirates 14 532 1.0× 476 1.9× 35 0.2× 69 0.4× 255 1.5× 70 803
Winston Garira Zimbabwe 23 994 1.8× 662 2.7× 114 0.5× 348 2.1× 497 3.0× 55 1.5k

Countries citing papers authored by Hee‐Dae Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Hee‐Dae Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hee‐Dae Kwon. 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 Hee‐Dae Kwon. The network helps show where Hee‐Dae Kwon may publish in the future.

Co-authorship network of co-authors of Hee‐Dae Kwon

This figure shows the co-authorship network connecting the top 25 collaborators of Hee‐Dae Kwon. A scholar is included among the top collaborators of Hee‐Dae Kwon 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 Hee‐Dae Kwon. Hee‐Dae Kwon 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.
Kwon, Hee‐Dae, et al.. (2024). Constrained optimal control problem of oncolytic viruses in cancer treatment. Mathematics and Computers in Simulation. 229. 842–854. 1 indexed citations
2.
Kwon, Hee‐Dae, et al.. (2023). A model of Plasmodium vivax malaria with delays: Mathematical analysis and numerical simulations. Mathematics and Computers in Simulation. 217. 169–187.
3.
Lee, Sang‐im, et al.. (2022). Reformulation of Trivers–Willard hypothesis for parental investment. Communications Biology. 5(1). 371–371. 1 indexed citations
4.
Kwon, Hee‐Dae, et al.. (2021). The effect of control measures on COVID-19 transmission in South Korea. PLoS ONE. 16(3). e0249262–e0249262. 21 indexed citations
5.
Kwon, Hee‐Dae, et al.. (2021). Estimation of the reproduction number of influenza A(H1N1)pdm09 in South Korea using heterogeneous models. BMC Infectious Diseases. 21(1). 658–658. 5 indexed citations
6.
Kwon, Hee‐Dae, et al.. (2020). Feedback control problem of an SIR epidemic model based on the Hamilton-Jacobi-Bellman equation. Mathematical Biosciences & Engineering. 17(3). 2284–2301. 7 indexed citations
7.
Kim, Jung‐Eun, Hee‐Dae Kwon, & Jeehyun Lee. (2016). Constrained optimal control applied to vaccination for influenza. Computers & Mathematics with Applications. 71(11). 2313–2329. 9 indexed citations
8.
Kwon, Hee‐Dae, et al.. (2016). Feedback control of the immune response of renal transplant recipients with inequality constraints. Computers & Mathematics with Applications. 71(11). 2338–2351. 3 indexed citations
9.
Kwon, Hee‐Dae, et al.. (2015). HIV-infection model stabilization. IFAC-PapersOnLine. 48(25). 214–217. 1 indexed citations
10.
Lee, Jeehyun, Jungeun Kim, & Hee‐Dae Kwon. (2012). Optimal Control of an Influenza Model with Seasonal Forcing and Age Structure. 7(1). 331–334.
11.
Banks, H. T., et al.. (2012). Modelling and optimal control of immune response of renal transplant recipients. Journal of Biological Dynamics. 6(2). 539–567. 17 indexed citations
12.
Aziz-Alaoui, M. A., et al.. (2012). Optimal control of chikungunya disease: Larvae reduction, treatment and prevention. Mathematical Biosciences & Engineering. 9(2). 369–392. 67 indexed citations
13.
Banks, H. T., et al.. (2011). An SDRE-Based Approach for HIV Feedback Control and Control of Thin Film Growth in a CVD Reactor. IFAC Proceedings Volumes. 44(1). 9601–9606. 2 indexed citations
14.
Kwon, Hee‐Dae, et al.. (2009). Control approach for HIV Drug Therapies. 49–49. 2 indexed citations
15.
Kwon, Hee‐Dae. (2006). Optimal treatment strategies derived from a HIV model with drug-resistant mutants. Applied Mathematics and Computation. 188(2). 1193–1204. 53 indexed citations
16.
Banks, H. T., Hee‐Dae Kwon, Jari Toivanen, & Hien Tran. (2006). A state‐dependent Riccati equation‐based estimator approach for HIV feedback control. Optimal Control Applications and Methods. 27(2). 93–121. 57 indexed citations
17.
Adams, Brian M., H. T. Banks, Marie Davidian, et al.. (2005). HIV dynamics: Modeling, data analysis, and optimal treatment protocols. Journal of Computational and Applied Mathematics. 184(1). 10–49. 191 indexed citations
18.
Hou, Lisheng, Oleg Imanuvilov, & Hee‐Dae Kwon. (2005). Eigen series solutions to terminal-state tracking optimal control problems and exact controllability problems constrained by linear parabolic PDEs. Journal of Mathematical Analysis and Applications. 313(1). 284–310. 4 indexed citations
19.
Adams, Brian M., H. T. Banks, Hee‐Dae Kwon, & Hien Tran. (2004). Dynamic Multidrug Therapies for HIV: Optimal and STI Control Approaches. Mathematical Biosciences & Engineering. 1(2). 223–241. 174 indexed citations
20.
Kwon, Hee‐Dae, Zeung nam Bien, & Il Hong Suh. (1989). An Effective Memory Mapping function for CMAC Controller. 대한전기학회 학술대회 논문집. 488–493.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Brian M. Adams Breakdown of academic impact, for papers by Xia Wang Breakdown of academic impact, for papers by Livingstone S. Luboobi Breakdown of academic impact, for papers by E. Fabián Cardozo-Ojeda Breakdown of academic impact, for papers by Naveen K. Vaidya Breakdown of academic impact, for papers by Edward A. Wenger Breakdown of academic impact, for papers by Hongying Shu Breakdown of academic impact, for papers by Cruz Vargas‐De‐León Breakdown of academic impact, for papers by Abdessamad Tridane Breakdown of academic impact, for papers by Winston Garira
Rankless by CCL
2026