Yanghong Huang
- Modeling and Simulation top 0.5%
- Applied Mathematics top 2%
- Computational Theory and Mathematics top 5%
- Public Health, Environmental and Occupational Health top 10%
- Statistical and Nonlinear Physics top 5%
- Co-authors
- José A. CarrilloRazvan C. FetecauAdam M. ObermanThéodore KolokolnikovAlina ChertockAndrea L. BertozziMartin BurgerS. Martin
- Topics
- Mathematical Biology Tumor Growth (14 papers)Mathematical and Theoretical Epidemiology and Ecology Models (10 papers)Advanced Mathematical Modeling in Engineering (6 papers)
- Journals
- Journal of Computational PhysicsSIAM Journal on Numerical AnalysisPhysica D Nonlinear Phenomena
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Yanghong Huang
26 papers receiving 692 citations
Peers
Comparison fields: 5 of 67
- Modeling and Simulation 414
- Applied Mathematics 226
- Computational Theory and Mathematics 176
- Public Health, Environmental and Occupational Health 169
- Statistical and Nonlinear Physics 111
Countries citing papers authored by Yanghong Huang
This map shows the geographic impact of Yanghong Huang'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 Yanghong Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanghong Huang more than expected).
Fields of papers citing papers by Yanghong Huang
This network shows the impact of papers produced by Yanghong Huang. 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 Yanghong Huang. The network helps show where Yanghong Huang may publish in the future.
Co-authorship network of co-authors of Yanghong Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Yanghong Huang. A scholar is included among the top collaborators of Yanghong Huang 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 Yanghong Huang. Yanghong Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 14 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 47 | |
| 7 | 23 | |
| 8 | 22 | |
| 9 | 19 | |
| 10 | 21 | |
| 11 | 36 | |
| 12 | 32 | |
| 13 | 127 | |
| 14 | 3 | |
| 15 | 14 | |
| 16 | 42 | |
| 17 | Self-Similar Blowup Solutions of the Aggregation Equation | 2 |
| 18 | 15 | |
| 19 | Optimal Design for the Grating Coupler of Surface Plamons | 2 |
| 20 | 3 |
About Yanghong Huang
Yanghong Huang is a scholar working on Modeling and Simulation, Applied Mathematics and Mathematical Physics, having authored 26 papers that have together received 743 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (14 papers), Mathematical and Theoretical Epidemiology and Ecology Models (10 papers) and Advanced Mathematical Modeling in Engineering (6 papers). The work is most often cited by research in Modeling and Simulation (414 citations), Applied Mathematics (226 citations) and Numerical Analysis (97 citations). Yanghong Huang has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include José A. Carrillo, Razvan C. Fetecau, Adam M. Oberman, Théodore Kolokolnikov, Alina Chertock, Andrea L. Bertozzi, Martin Burger, S. Martin, Michel Chipot and Juan Luís Vázquez. Their work appears in journals such as Journal of Computational Physics, SIAM Journal on Numerical Analysis and Physica D Nonlinear Phenomena.
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.