Hee‐Dae Kwon

1.0k citations
25 papers · 822 · h-index 10

Impact in

Papers in

Hee‐Dae Kwon

21 papers receiving 751 citations

Peers

Hee‐Dae Kwon
Comparison fields: 5 of 87
  • Modeling and Simulation 249
  • Virology 235
  • Public Health, Environmental and Occupational Health 546
  • Infectious Diseases 168
  • Immunology 154
Replace Xia Wang with:
Xia Wang China
Naveen K. Vaidya United States
Brian M. Adams United States
Stanca M. Ciupe United States
Livingstone S. Luboobi Uganda
Jessica M. Conway United States
Hem Raj Joshi United States
Irina Maljkovic Berry United States
Winston Garira Zimbabwe
Prasith Baccam United States
Hee‐Dae Kwon relative to Xia Wang China Xia Wang's profile →
Citations per field
00.5×1.5×1.8×
Xia Wang · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Hee‐Dae Kwon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hee‐Dae Kwon Line = papers co-authored together Hee‐Dae Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005198
2 2004180
3 2009164
4 201270
5 200659
6 200654
7 202122
8 201218
9
Feedback control of HIV antiviral therapy with long measurement time
201110
10 20169
11 20207
12 20037
13 20215
14 20054
15 20164
16 20223
17
Control approach for HIV Drug Therapies
20092
18 20222
19 20112
20 20241

About Hee‐Dae Kwon

Hee‐Dae Kwon is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation, Virology, Epidemiology and Immunology, having authored 25 papers that have together received 822 indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (15 papers), COVID-19 epidemiological studies (7 papers), HIV Research and Treatment (6 papers), Immune Cell Function and Interaction (5 papers), Influenza Virus Research Studies (4 papers), Fractional Differential Equations Solutions (2 papers), Evolution and Genetic Dynamics (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Modeling and Simulation (249 citations), Virology (235 citations), Public Health, Environmental and Occupational Health (546 citations), Infectious Diseases (168 citations) and Immunology (154 citations). Hee‐Dae Kwon has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Hien Tran, Brian M. Adams, Kbenesh W. Blayneh, Yanzhao Cao, H. T. Banks, H. T. Banks, Eric Rosenberg, Shannon Wynne, Marie Davidian and Jeehyun Lee. Their work appears in journals such as Mathematical Biosciences & Engineering, Applied Mathematics and Computation, Computers & Mathematics with Applications, Mathematics and Computers in Simulation and Numerical Methods for Partial Differential Equations.

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