Hoang‐Hung Vo
- Public Health, Environmental and Occupational Health top 10%
- Applied Mathematics top 5%
- Modeling and Simulation top 2%
- Mathematical Physics top 10%
- Computational Theory and Mathematics top 10%
- Topics
- Nonlinear Differential Equations Analysis (11 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)Nonlinear Partial Differential Equations (8 papers)
- Journals
- SIAM Journal on Numerical AnalysisJournal of Differential EquationsJournal of Computational and Applied Mathematics
- Partner nations
- VietnamUnited StatesFrance
In The Last Decade
Hoang‐Hung Vo
18 papers receiving 230 citations
Peers
Comparison fields: 5 of 24
- Public Health, Environmental and Occupational Health 140
- Applied Mathematics 129
- Modeling and Simulation 122
- Mathematical Physics 83
- Computational Theory and Mathematics 46
Countries citing papers authored by Hoang‐Hung Vo
This map shows the geographic impact of Hoang‐Hung Vo'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 Hoang‐Hung Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoang‐Hung Vo more than expected).
Fields of papers citing papers by Hoang‐Hung Vo
This network shows the impact of papers produced by Hoang‐Hung Vo. 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 Hoang‐Hung Vo. The network helps show where Hoang‐Hung Vo may publish in the future.
Co-authorship network of co-authors of Hoang‐Hung Vo
This figure shows the co-authorship network connecting the top 25 collaborators of Hoang‐Hung Vo. A scholar is included among the top collaborators of Hoang‐Hung Vo 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 Hoang‐Hung Vo. Hoang‐Hung Vo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 28 | |
| 12 | 2 | |
| 13 | 7 | |
| 14 | 9 | |
| 15 | 2 | |
| 16 | 17 | |
| 17 | 82 | |
| 18 | 73 | |
| 19 | 3 | |
| 20 | Nonlocal heterogeneous KPP equations in $\R^N$ | 1 |
About Hoang‐Hung Vo
Hoang‐Hung Vo is a scholar working on Applied Mathematics, Mathematical Physics and Modeling and Simulation, having authored 21 papers that have together received 245 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (11 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Nonlinear Partial Differential Equations (8 papers). The work is most often cited by research in Modeling and Simulation (122 citations), Applied Mathematics (129 citations) and Mathematical Physics (83 citations). Hoang‐Hung Vo has collaborated with scholars based in Vietnam, United States and France. Frequent co-authors include Jérôme Coville, Henri Berestycki, Zhongwei Shen, Dang Duc Trong, Jian‐Wen Sun and Anup Biswas. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Differential Equations and Journal of Computational and Applied Mathematics.
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.