Ky Tran
Impact in
- Modeling and Simulation top 5%
- Mathematical Biology Tumor Growth
- Health top 10%
- Health disparities and outcomes
Papers in
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- Stability and Controllability of Differential Equations 10
-
- Mathematical and Theoretical Epidemiology and Ecology Models 10
- Co-authors
- William Fisher (1 shared paper)William Merrill (1 shared paper)Karen B. DeSalvo (1 shared paper)John Peabody (1 shared paper)George Yin (14 shared papers)Dang H. Nguyen (2 shared papers)Gang Yin (2 shared papers)Zhen-Qing Chen (2 shared papers)
- Journals
- Nonlinear Analysis Hybrid Systems (4 papers)Systems & Control Letters (3 papers)International Journal of Control (2 papers)Journal of Mathematical Biology (2 papers)IMA Journal of Mathematical Control and Information (2 papers)
- Partner nations
- United StatesSouth KoreaVietnam
In The Last Decade
Ky Tran
28 papers receiving 564 citations
Peers
Comparison fields: 5 of 114
- Modeling and Simulation 69
- Health 100
- Neuropsychology and Physiological Psychology 11
- Finance 62
- General Health Professions 132
Countries citing papers authored by Ky Tran
This map shows the geographic impact of Ky Tran'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 Ky Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ky Tran more than expected).
Fields of papers citing papers by Ky Tran
This network shows the impact of papers produced by Ky Tran. 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 Ky Tran. The network helps show where Ky Tran may publish in the future.
Co-authors
The 22 scholars most cited alongside Ky Tran, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 331 | |
| 2 | 2019 | 27 | |
| 3 | 2014 | 25 | |
| 4 | 2022 | 23 | |
| 5 | 2021 | 18 | |
| 6 | 2015 | 18 | |
| 7 | 2016 | 14 | |
| 8 | 2019 | 13 | |
| 9 | 2017 | 13 | |
| 10 | 2021 | 13 | |
| 11 | 2019 | 12 | |
| 12 | 2017 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2024 | 10 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2014 | 6 | |
| 18 | 2021 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2016 | 4 |
About Ky Tran
Ky Tran is a scholar working on Control and Systems Engineering, Public Health, Environmental and Occupational Health, Finance, Genetics and Computational Theory and Mathematics, having authored 34 papers that have together received 588 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (10 papers), Stability and Controllability of Differential Equations (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers), Evolution and Genetic Dynamics (7 papers), Advanced Mathematical Modeling in Engineering (5 papers), Ecosystem dynamics and resilience (5 papers), Nonlinear Differential Equations Analysis (4 papers) and Differential Equations and Numerical Methods (3 papers). The work is most often cited by research in Modeling and Simulation (69 citations), Health (100 citations), Neuropsychology and Physiological Psychology (11 citations), Finance (62 citations) and General Health Professions (132 citations). Ky Tran has collaborated with scholars based in United States, South Korea and Vietnam. Frequent co-authors include William Fisher, William Merrill, Karen B. DeSalvo, John Peabody, George Yin, Dang H. Nguyen, Gang Yin, Zhen-Qing Chen, Pham Huu Anh Ngoc and Xiaoshan Chen. Their work appears in journals such as Nonlinear Analysis Hybrid Systems, Systems & Control Letters, International Journal of Control, Journal of Mathematical Biology and IMA Journal of Mathematical Control and Information.
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.