Hai Vu

1.3k citations
101 papers · 811 indexed · h-index 16

Hai Vu

91 papers receiving 756 citations

Peers

Hai Vu
Comparison fields: 5 of 99
  • Human-Computer Interaction 134
  • Gastroenterology 92
  • Computer Vision and Pattern Recognition 334
  • Analytical Chemistry 127
  • Plant Science 158
Replace Kashif Javed with:
Kashif Javed Pakistan
Georgios Triantafyllidis Greece
Nouf Abdullah Almujally Saudi Arabia
Thi‐Lan Le Vietnam
Shitala Prasad India
Xianqing Chen China
Fitri Utaminingrum Indonesia
Minh Nguyen New Zealand
Yu Zeng China
Mohit Agarwal India
Hai Vu relative to Kashif Javed Pakistan Kashif Javed's profile →
Citations per field
00.5×10×15×
Kashif Javed · 1×
Citations per year

Countries citing papers authored by Hai Vu

Since Specialization
Citations

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

Fields of papers citing papers by Hai Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20230
4 20224
5 20226
6 20223
7 20223
8 20224
9 20212
10 202111
11
Fitting Cylindrical Objects in 3-D Point Cloud using Contextual and Geometrical Constraints.
20192
12 201911
13 201911
14 201815
15
MICA at LifeCLEF 2015: Multi-organ Plant Identification.
20156
16 20119
17
The Interrupts of Mascot Robot System Embedded in RT Middleware based on Fuzzy Logic
20082
18 200833
19 200715
20 200714

About Hai Vu

Hai Vu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Gastroenterology, having authored 101 papers that have together received 811 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (26 papers), Hand Gesture Recognition Systems (25 papers), Gait Recognition and Analysis (12 papers), Spectroscopy and Chemometric Analyses (12 papers), Gastrointestinal Bleeding Diagnosis and Treatment (12 papers), Smart Agriculture and AI (9 papers), Anomaly Detection Techniques and Applications (9 papers) and Gaze Tracking and Assistive Technology (9 papers). The work is most often cited by research in Human-Computer Interaction (134 citations), Gastroenterology (92 citations) and Computer Vision and Pattern Recognition (334 citations). Hai Vu has collaborated with scholars based in Vietnam, Japan and France. Frequent co-authors include Thi‐Lan Le, Thanh-Hai Tran, Trung‐Kien Dao, Yasushi Yagi, Tomio Echigo, Paul Murray, Stephen Marshall, Christos Tachtatzis, David Harle and Ivan Andonović. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Pattern Recognition Letters, Inflammopharmacology and Image and Vision Computing.

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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