Thanh Vu

778 citations
16 papers · 214 · h-index 9

Impact in

    • Topic Modeling
    • Sentiment Analysis and Opinion Mining
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Text and Document Classification Technologies
    • Advanced Graph Neural Networks
    • Geotechnical Engineering and Analysis

Papers in

Thanh Vu

15 papers receiving 195 citations

Peers

Thanh Vu
Comparison fields: 5 of 53
  • Artificial Intelligence 121
  • Safety, Risk, Reliability and Quality 17
  • Civil and Structural Engineering 36
  • Information Systems 36
  • Computer Vision and Pattern Recognition 29
Replace Haoyu Dong with:
Haoyu Dong China
T. Hemalatha India
Yukai Yao China
Ian Foster United States
Zbigniew Telec Poland
Yahya Layth Khaleel Iraq
Jerónimo Hernández-González Spain
Paula Monteiro Portugal
Thanh Vu relative to Haoyu Dong China Haoyu Dong's profile →
Citations per field
00.5×5.6×
Haoyu Dong · 1×
Citations per year

Countries citing papers authored by Thanh Vu

Since Specialization
Citations

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

Fields of papers citing papers by Thanh Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thanh 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 Thanh Vu Line = papers co-authored together Thanh Vu links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 202046
2 201941
3 201425
4 201420
5 202217
6 202213
7 202113
8 201910
9 20158
10
Identifying patients with pain in emergency departments using conventional machine learning and deep learning
20197
11 20206
12
From Word Segmentation to POS Tagging for Vietnamese
20173
13 20143
14 20231
15 20251
16 20250

About Thanh Vu

Thanh Vu is a scholar working on Artificial Intelligence, Civil and Structural Engineering, Information Systems, Computer Vision and Pattern Recognition and Statistical and Nonlinear Physics, having authored 16 papers that have together received 214 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Advanced Graph Neural Networks (3 papers), Natural Language Processing Techniques (3 papers), Machine Learning in Healthcare (2 papers), Information Retrieval and Search Behavior (2 papers), Grouting, Rheology, and Soil Mechanics (2 papers), Geotechnical Engineering and Analysis (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Artificial Intelligence (121 citations), Safety, Risk, Reliability and Quality (17 citations), Civil and Structural Engineering (36 citations), Information Systems (36 citations) and Computer Vision and Pattern Recognition (29 citations). Thanh Vu has collaborated with scholars based in Vietnam, Australia and United Kingdom. Frequent co-authors include Dat Quoc Nguyen, Dai Quoc Nguyen, Afshin Rahimi, Long Doan, Son N. Tran, Alistair Willis, Dawei Song, Manh Duc Nguyen, Binh Thai Pham and Son Bao Pham. Their work appears in journals such as Knowledge-Based Systems, Forests, BMJ Open, The Open Construction and Building Technology Journal and Open Research Online (The Open University).

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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