Duc Hoang

661 total citations
4 papers, 138 citations indexed

About

Duc Hoang is a scholar working on Artificial Intelligence, Oceanography and Statistical and Nonlinear Physics. According to data from OpenAlex, Duc Hoang has authored 4 papers receiving a total of 138 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Oceanography and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in Duc Hoang's work include Oceanographic and Atmospheric Processes (1 paper), Methane Hydrates and Related Phenomena (1 paper) and Particle physics theoretical and experimental studies (1 paper). Duc Hoang is often cited by papers focused on Oceanographic and Atmospheric Processes (1 paper), Methane Hydrates and Related Phenomena (1 paper) and Particle physics theoretical and experimental studies (1 paper). Duc Hoang collaborates with scholars based in United States, Switzerland and United Kingdom. Duc Hoang's co-authors include J. Duarte, Vladimir Lončar, Dylan Rankin, M. Pierini, Giuseppe Di Guglielmo, J. Ngadiuba, Z. Wu, Francesco Nencioli, Graham D. Quartly and Andrey A. Kurekin and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Applied Superconductivity and Journal of Instrumentation.

In The Last Decade

Duc Hoang

4 papers receiving 137 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Duc Hoang United States	4	40	35	28	28	25	4	138
A. Sousa United States	6	30 0.8×	152 4.3×	27 1.0×	22 0.8×	23 0.9×	12	285
Peter Harrington United States	7	33 0.8×	6 0.2×	14 0.5×	27 1.0×	15 0.6×	12	189
Sung‐Hong Park South Korea	15	93 2.3×	12 0.3×	16 0.6×	21 0.8×	10 0.4×	43	600
L. Rastäetter United States	11	31 0.8×	10 0.3×	28 1.0×	19 0.7×	10 0.4×	54	362
Christopher Maynard United Kingdom	7	14 0.3×	109 3.1×	11 0.4×	4 0.1×	5 0.2×	20	242
F. Russo Italy	6	23 0.6×	42 1.2×	4 0.1×	12 0.4×	5 0.2×	17	117
Tatiana Podladchikova Russia	13	97 2.4×	9 0.3×	29 1.0×	18 0.6×	13 0.5×	50	483
Fabio Luporini United Kingdom	9	22 0.6×	3 0.1×	9 0.3×	10 0.4×	13 0.5×	20	288
Chengming Tan China	10	31 0.8×	24 0.7×	16 0.6×	11 0.4×	14 0.6×	47	363

Countries citing papers authored by Duc Hoang

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Duc Hoang

This figure shows the co-authorship network connecting the top 25 collaborators of Duc Hoang. A scholar is included among the top collaborators of Duc Hoang 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 Duc Hoang. Duc Hoang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Hoang, Duc, C. Boffo, Nhan Viet Tran, et al.. (2021). Intelliquench: An Adaptive Machine Learning System for Detection of Superconducting Magnet Quenches. IEEE Transactions on Applied Superconductivity. 31(5). 1–5. 7 indexed citations

2.

Ngadiuba, J., Vladimir Lončar, M. Pierini, et al.. (2020). Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML. DSpace@MIT (Massachusetts Institute of Technology). 44 indexed citations

3.

Guglielmo, Giuseppe Di, J. Duarte, P. Harris, et al.. (2020). Fast inference of Boosted Decision Trees in FPGAs for particle physics. Journal of Instrumentation. 15(5). P05026–P05026. 50 indexed citations

4.

Poisson, Jean-Christophe, Graham D. Quartly, Andrey A. Kurekin, et al.. (2018). Development of an ENVISAT Altimetry Processor Providing Sea Level Continuity Between Open Ocean and Arctic Leads. IEEE Transactions on Geoscience and Remote Sensing. 56(9). 5299–5319. 37 indexed citations

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.

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