Hai Vu

1.3k citations
117 papers · 1.0k · h-index 17

Impact in

Papers in

Hai Vu

104 papers receiving 931 citations

Peers

Hai Vu
Comparison fields: 5 of 100
  • Human-Computer Interaction 169
  • Gastroenterology 108
  • Computer Vision and Pattern Recognition 412
  • Analytical Chemistry 146
  • Plant Science 182
Replace Kashif Javed with:
Kashif Javed Pakistan
Ganbayar Batchuluun South Korea
Xianqing Chen China
Jun Lv China
Thanh-Hai Tran Vietnam
Xiao Gu China
Thi‐Lan Le Vietnam
Yu Zeng China
Shitala Prasad India
Prashan Premaratne Australia
Hai Vu relative to Kashif Javed Pakistan Kashif Javed's profile →
Citations per field
00.5×10×15×20.5×
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-authors

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

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202090
2 202052
3 201544
4 201739
5 200836
6 201626
7 200824
8 201123
9 200923
10 202221
11 201720
12 201820
13 200620
14 200819
15 201719
16 201617
17 201617
18 200716
19 201516
20 201815

About Hai Vu

Hai Vu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Biomedical Engineering, Gastroenterology and Artificial Intelligence, having authored 117 papers that have together received 1.0k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (27 papers), Hand Gesture Recognition Systems (26 papers), Advanced Image and Video Retrieval Techniques (14 papers), Gastrointestinal Bleeding Diagnosis and Treatment (14 papers), Spectroscopy and Chemometric Analyses (13 papers), Gait Recognition and Analysis (12 papers), Robotics and Sensor-Based Localization (11 papers) and Gaze Tracking and Assistive Technology (10 papers). The work is most often cited by research in Human-Computer Interaction (169 citations), Gastroenterology (108 citations), Computer Vision and Pattern Recognition (412 citations), Analytical Chemistry (146 citations) and Plant Science (182 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, Neeraj Mittal, Yasushi Yagi, Tomio Echigo, Christos Tachtatzis, Keiko Yagi, Stephen Marshall and David Harle. Their work appears in journals such as IEEE Access, Multimedia Tools and Applications, Pattern Recognition Letters, Inflammopharmacology and Computers and Electronics in Agriculture.

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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