Duc Hoang
Impact in
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- Particle Detector Development and Performance
- Particle physics theoretical and experimental studies
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- Oceanographic and Atmospheric Processes
- Ocean Waves and Remote Sensing
- Geophysics and Gravity Measurements
Papers in
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- Oceanographic and Atmospheric Processes 1
- Co-authors
- Jean-Christophe Poisson (1 shared paper)Graham D. Quartly (1 shared paper)J. Duarte (2 shared papers)Andrey A. Kurekin (1 shared paper)Pierre Thibaut (1 shared paper)Francesco Nencioli (1 shared paper)Vladimir Lončar (2 shared papers)Dylan Rankin (2 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (1 paper)Journal of Instrumentation (1 paper)IEEE Transactions on Applied Superconductivity (1 paper)DSpace@MIT (Massachusetts Institute of Technology) (1 paper)ArXiv.org (1 paper)
- Partner nations
- United StatesSwitzerlandSerbia
In The Last Decade
Duc Hoang
4 papers receiving 147 citations
Peers
Comparison fields: 5 of 40
- Nuclear and High Energy Physics 35
- Oceanography 29
- Hardware and Architecture 16
- Computer Vision and Pattern Recognition 32
- Artificial Intelligence 44
Countries citing papers authored by Duc Hoang
This map shows the geographic impact of Duc Hoang'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 Duc Hoang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Duc Hoang more than expected).
Fields of papers citing papers by Duc Hoang
This network shows the impact of papers produced by Duc Hoang. 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 Duc Hoang. The network helps show where Duc Hoang may publish in the future.
Co-authors
The 25 scholars most cited alongside Duc Hoang, 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 | 2020 | 54 | |
| 2 | Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML | 2020 | 47 |
| 3 | 2018 | 39 | |
| 4 | 2021 | 8 | |
| 5 | 2026 | 0 |
About Duc Hoang
Duc Hoang is a scholar working on Artificial Intelligence, Oceanography, Statistical and Nonlinear Physics, Signal Processing and Computational Theory and Mathematics, having authored 5 papers that have together received 148 indexed citations. Recurring topics across this work include Oceanographic and Atmospheric Processes (1 paper), Methane Hydrates and Related Phenomena (1 paper), Superconducting Materials and Applications (1 paper), Particle Detector Development and Performance (1 paper), Neutrino Physics Research (1 paper), Particle physics theoretical and experimental studies (1 paper), Model Reduction and Neural Networks (1 paper) and Time Series Analysis and Forecasting (1 paper). The work is most often cited by research in Nuclear and High Energy Physics (35 citations), Oceanography (29 citations), Hardware and Architecture (16 citations), Computer Vision and Pattern Recognition (32 citations) and Artificial Intelligence (44 citations). Duc Hoang has collaborated with scholars based in United States, Switzerland and Serbia. Frequent co-authors include Jean-Christophe Poisson, Graham D. Quartly, J. Duarte, Andrey A. Kurekin, Pierre Thibaut, Francesco Nencioli, Vladimir Lončar, Dylan Rankin, M. Pierini and J. Ngadiuba. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Instrumentation, IEEE Transactions on Applied Superconductivity, DSpace@MIT (Massachusetts Institute of Technology) and ArXiv.org.
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.