Hoang Tran
- Computational Mechanics top 5%
- Computational Theory and Mathematics top 5%
- Numerical Analysis top 10%
- Biomedical Engineering
- Statistics, Probability and Uncertainty top 5%
- Co-authors
- William LaytonCătălin TrencheaClayton WebsterXin XiongAnh TranAbdellah ChkifaNick DexterNan Jiang
- Topics
- Advanced Numerical Methods in Computational Mathematics (9 papers)Sparse and Compressive Sensing Techniques (6 papers)Computational Fluid Dynamics and Aerodynamics (4 papers)
- Journals
- Acta MaterialiaIEEE Transactions on Power SystemsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- United StatesGermany
In The Last Decade
Hoang Tran
24 papers receiving 375 citations
Peers
Comparison fields: 5 of 64
- Computational Mechanics 297
- Computational Theory and Mathematics 105
- Numerical Analysis 64
- Biomedical Engineering 49
- Statistics, Probability and Uncertainty 44
Countries citing papers authored by Hoang Tran
This map shows the geographic impact of Hoang 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 Hoang Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoang Tran more than expected).
Fields of papers citing papers by Hoang Tran
This network shows the impact of papers produced by Hoang 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 Hoang Tran. The network helps show where Hoang Tran may publish in the future.
Co-authorship network of co-authors of Hoang Tran
This figure shows the co-authorship network connecting the top 25 collaborators of Hoang Tran. A scholar is included among the top collaborators of Hoang Tran 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 Tran. Hoang Tran 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 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 18 | |
| 10 | 11 | |
| 11 | Unified sufficient conditions for uniform recovery of sparse signals via nonconvex minimizations | 3 |
| 12 | 25 | |
| 13 | 3 | |
| 14 | 12 | |
| 15 | 11 | |
| 16 | 20 | |
| 17 | 43 | |
| 18 | 114 | |
| 19 | 48 | |
| 20 | 1 |
About Hoang Tran
Hoang Tran is a scholar working on Computational Mechanics, Numerical Analysis and Computational Theory and Mathematics, having authored 25 papers that have together received 408 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (9 papers), Sparse and Compressive Sensing Techniques (6 papers) and Computational Fluid Dynamics and Aerodynamics (4 papers). The work is most often cited by research in Computational Mechanics (297 citations), Numerical Analysis (64 citations) and Computational Theory and Mathematics (105 citations). Hoang Tran has collaborated with scholars based in United States and Germany. Frequent co-authors include William Layton, Cătălin Trenchea, Clayton Webster, Xin Xiong, Anh Tran, Abdellah Chkifa, Nick Dexter, Nan Jiang, Guannan Zhang and Akil Narayan. Their work appears in journals such as Acta Materialia, IEEE Transactions on Power Systems and Computer Methods in Applied Mechanics and Engineering.
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.