Thuy Vu

1.9k citations
30 papers · 1.3k · h-index 12

Impact in

Papers in

Thuy Vu

23 papers receiving 1.3k citations

Peers

Thuy Vu
Comparison fields: 5 of 124
  • Developmental Neuroscience 160
  • Cellular and Molecular Neuroscience 395
  • Molecular Biology 644
  • Cell Biology 145
  • Artificial Intelligence 239
Replace Zoltán Fülöp with:
Zoltán Fülöp Hungary
Paul Antony Luxembourg
Stefan Berger Germany
Kristen M. Naegle United States
Shahin Mohammadi United States
Irene Otte‐Höller Netherlands
María Hernández Spain
John Corradi United States
Jack Dempsey United States
Marvin Steijaert United States
Thuy Vu relative to Zoltán Fülöp Hungary Zoltán Fülöp's profile →
Citations per field
00.5×5.5×
Zoltán Fülöp · 1×
Citations per year

Countries citing papers authored by Thuy Vu

Since Specialization
Citations

This map shows the geographic impact of Thuy 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 Thuy Vu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thuy Vu more than expected).

Fields of papers citing papers by Thuy Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thuy Vu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thuy Vu Line = papers co-authored together Thuy Vu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001305
2 2000264
3 2008260
4 2020109
5 200294
6 200284
7 201974
8 202027
9
Term Extraction Through Unithood and Termhood Unification
200826
10 200925
11 201923
12 200612
13 202111
14 20139
15 20167
16 20234
17 20154
18 20223
19 20222
20 20252

About Thuy Vu

Thuy Vu is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Molecular Biology and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Topic Modeling (14 papers), Natural Language Processing Techniques (10 papers), Expert finding and Q&A systems (5 papers), Multimodal Machine Learning Applications (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cancer Genomics and Diagnostics (3 papers), Speech and dialogue systems (3 papers) and Genomics and Rare Diseases (3 papers). The work is most often cited by research in Developmental Neuroscience (160 citations), Cellular and Molecular Neuroscience (395 citations), Molecular Biology (644 citations), Cell Biology (145 citations) and Artificial Intelligence (239 citations). Thuy Vu has collaborated with scholars based in United States, Singapore and Japan. Frequent co-authors include Berta Alsina, Güneş Erkan, Dragomir Radev, Arzucan Özgür, Alessandro Moschitti, Timothy C. Chambers, William A. Gaarde, Meiyun Fan, Siddhant Garg and Barbara Lom. Their work appears in journals such as Hereditas, New Journal of Chemistry, Stem Cell Research & Therapy, JCO Clinical Cancer Informatics and Journal of Neuroscience.

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.

Explore authors with similar magnitude of impact