Hoa T. Vu

48 total papers · 436 total citations
16 papers, 188 citations indexed

About

Hoa T. Vu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Hoa T. Vu has authored 16 papers receiving a total of 188 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 3 papers in Computational Theory and Mathematics. Recurrent topics in Hoa T. Vu's work include Complexity and Algorithms in Graphs (3 papers), Data Stream Mining Techniques (3 papers) and Machine Learning and Algorithms (2 papers). Hoa T. Vu is often cited by papers focused on Complexity and Algorithms in Graphs (3 papers), Data Stream Mining Techniques (3 papers) and Machine Learning and Algorithms (2 papers). Hoa T. Vu collaborates with scholars based in United States, Singapore and Vietnam. Hoa T. Vu's co-authors include Robert S. Ross, Joseph C. Loftus, Can G. Pham, Rebecca S. Keller, Andrew McGregor, Sridhar Mahadevan, Tiffany Green, Laura E. T. Swan, Jenny A. Higgins and Kristen Malecki and has published in prestigious journals such as American Journal of Physiology-Heart and Circulatory Physiology, Health Economics and Theoretical Computer Science.

In The Last Decade

Hoa T. Vu

14 papers receiving 183 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Hoa T. Vu	74	59	50	47	27	16	188
Zhepeng Wang	24 0.3×	22 0.4×	9 0.2×	5 0.1×	133 4.9×	28	271
Jonathan M. Young	48 0.6×	4 0.1×	22 0.4×	14 0.3×	105 3.9×	20	270
André Frotta Müller	97 1.3×	3 0.1×	17 0.3×	3 0.1×	26 1.0×	19	290
Nensi Ikonomi	156 2.1×	4 0.1×	4 0.1×	10 0.2×	20 0.7×	20	228
Mengting Gu	149 2.0×	4 0.1×	3 0.1×	39 0.8×	14 0.5×	18	232
Hansen	24 0.3×	3 0.1×	8 0.2×	5 0.1×	16 0.6×	25	261
Lukas Schmidt	103 1.4×	5 0.1×	35 0.7×	5 0.1×	6 0.2×	22	178
Matthew T. Moores	77 1.0×	6 0.1×	3 0.1×	69 1.5×	68 2.5×	21	281
Eleni Kolokotroni	90 1.2×		5 0.1×	27 0.6×	6 0.2×	28	272
Sven Sahle	108 1.5×	2 0.0×	2 0.0×	15 0.3×	9 0.3×	23	267

Countries citing papers authored by Hoa T. Vu

Since Specialization

Citations

This map shows the geographic impact of Hoa T. Vu'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 Hoa T. Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hoa T. Vu more than expected).

Fields of papers citing papers by Hoa T. Vu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hoa T. Vu. 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 Hoa T. Vu. The network helps show where Hoa T. Vu may publish in the future.

Co-authorship network of co-authors of Hoa T. Vu

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

All Works

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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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