Hai Le
Impact in
- Applied Mathematics top 5%
- Gas Dynamics and Kinetic Theory
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- Laser-Plasma Interactions and Diagnostics
Papers in
-
- Atomic and Molecular Physics 6
-
- Gas Dynamics and Kinetic Theory 8
- Co-authors
- Jean-Luc Cambier (6 shared papers)Ann Karagozian (2 shared papers)Brett A. Cruden (2 shared papers)M. Sherlock (2 shared papers)H. A. Scott (3 shared papers)Jay Grinstead (1 shared paper)Dinesh Prabhu (1 shared paper)Deepak Bose (1 shared paper)
- Journals
- Physics of Plasmas (3 papers)Journal of Computational Physics (2 papers)Physical Review Letters (2 papers)Physical review. E (1 paper)Computer Physics Communications (1 paper)
- Partner nations
- United StatesCanada
In The Last Decade
Hai Le
15 papers receiving 152 citations
Peers
Comparison fields: 5 of 33
- Applied Mathematics 70
- Nuclear and High Energy Physics 34
- Computational Mechanics 45
- Atomic and Molecular Physics, and Optics 59
- Mechanics of Materials 41
Countries citing papers authored by Hai Le
This map shows the geographic impact of Hai Le'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 Hai Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Le more than expected).
Fields of papers citing papers by Hai Le
This network shows the impact of papers produced by Hai Le. 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 Hai Le. The network helps show where Hai Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Le, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 32 | |
| 2 | 2012 | 25 | |
| 3 | 2020 | 25 | |
| 4 | 2010 | 24 | |
| 5 | 2019 | 14 | |
| 6 | 2011 | 12 | |
| 7 | 2016 | 6 | |
| 8 | 2018 | 6 | |
| 9 | 2017 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2025 | 2 | |
| 12 | 2012 | 2 | |
| 13 | 2025 | 1 | |
| 14 | Hydrodynamic models for multicomponent plasmas with collisional-radiative kinetics | 2014 | 1 |
| 15 | 2017 | 1 |
About Hai Le
Hai Le is a scholar working on Atomic and Molecular Physics, and Optics, Applied Mathematics, Mechanics of Materials, Nuclear and High Energy Physics and Aerospace Engineering, having authored 15 papers that have together received 156 indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (8 papers), Atomic and Molecular Physics (6 papers), Laser-Plasma Interactions and Diagnostics (5 papers), Laser-induced spectroscopy and plasma (5 papers), Plasma Diagnostics and Applications (3 papers), Computational Fluid Dynamics and Aerodynamics (2 papers), Fusion materials and technologies (2 papers) and Nuclear Materials and Properties (1 paper). The work is most often cited by research in Applied Mathematics (70 citations), Nuclear and High Energy Physics (34 citations), Computational Mechanics (45 citations), Atomic and Molecular Physics, and Optics (59 citations) and Mechanics of Materials (41 citations). Hai Le has collaborated with scholars based in United States and Canada. Frequent co-authors include Jean-Luc Cambier, Ann Karagozian, Brett A. Cruden, M. Sherlock, H. A. Scott, Jay Grinstead, Dinesh Prabhu, Deepak Bose, A. L. Milder and D. H. Froula. Their work appears in journals such as Physics of Plasmas, Journal of Computational Physics, Physical Review Letters, Physical review. E and Computer Physics Communications.
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.