Hien Tran

119 papers receiving 3.4k citations

Peers

Hien Tran
Comparison fields: 5 of 183
  • Virology 225
  • Modeling and Simulation 201
  • Statistical and Nonlinear Physics 433
  • Numerical Analysis 172
  • Statistics, Probability and Uncertainty 220
Replace H. T. Banks with:
H. T. Banks United States
Mark Fleming United States
Marc Lavielle France
Charles A. Taylor United States
Masahiro Nakagawa Japan
Noah Simon United States
Thomas S. Parker United States
Hongyu Miao United States
Hans G. Feichtinger Austria
Ming‐Chen Hsu United States
Hien Tran relative to H. T. Banks United States H. T. Banks's profile →
Citations per field
00.5×3.9×
H. T. Banks · 1×
Citations per year

Countries citing papers authored by Hien Tran

Since Specialization
Citations

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

Fields of papers citing papers by Hien Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hien Tran, 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 Hien Tran Line = papers co-authored together Hien Tran links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20243
5 20245
6 20229
7 20214
8 20198
9 20188
10 20171
11 201711
12 201649
13 2012324
14 20095
15 200717
16 200627
17 200656
18 2005191
19 200425
20 200430

About Hien Tran

Hien Tran is a scholar working on Transplantation, Modeling and Simulation, Numerical Analysis, Statistical and Nonlinear Physics and General Energy, having authored 134 papers that have together received 3.6k indexed citations. Recurring topics across this work include Cardiovascular Health and Disease Prevention (10 papers), Mathematical and Theoretical Epidemiology and Ecology Models (9 papers), Model Reduction and Neural Networks (8 papers), Heart Rate Variability and Autonomic Control (7 papers), Renal Transplantation Outcomes and Treatments (6 papers), Gyrotron and Vacuum Electronics Research (6 papers), Numerical methods for differential equations (6 papers) and Mathematical Biology Tumor Growth (5 papers). The work is most often cited by research in Virology (225 citations), Modeling and Simulation (201 citations), Statistical and Nonlinear Physics (433 citations), Numerical Analysis (172 citations) and Statistics, Probability and Uncertainty (220 citations). Hien Tran has collaborated with scholars based in United States, Vietnam and Denmark. Frequent co-authors include Hung V. Ly, H. T. Banks, H. T. Banks, Hee‐Dae Kwon, Mette S. Olufsen, Brian M. Adams, Brian M. Lewis, Vera Novak, Johnny T. Ottesen and Jerry J. Batzel. Their work appears in journals such as Optimal Control Applications and Methods, Bulletin of Mathematical Biology, Journal of Mathematical Biology, IEEE Transactions on Plasma Science and SIAM Journal on Numerical Analysis.

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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