Tam Vu

100 papers receiving 2.2k citations

Peers

Tam Vu
Comparison fields: 5 of 154
  • Human-Computer Interaction 251
  • Signal Processing 281
  • Computer Networks and Communications 380
  • Computer Vision and Pattern Recognition 319
  • Cognitive Neuroscience 261
Replace Yi‐Chao Chen with:
Yi‐Chao Chen China
Parth H. Pathak United States
Shuangquan Wang China
Xiaodong Yang China
Khaled Elleithy United States
Mu Zhou China
Yuan Zhang China
Xiaofan Jiang United States
Othman Omran Khalifa Malaysia
Tam Vu relative to Yi‐Chao Chen China Yi‐Chao Chen's profile →
Citations per field
00.5×1.5×2.2×
Yi‐Chao Chen · 1×
Citations per year

Countries citing papers authored by Tam Vu

Since Specialization
Citations

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

Fields of papers citing papers by Tam Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 104 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011169
2 2016151
3 2017114
4 201892
5 201290
6 201474
7 201668
8 201162
9 201959
10 199957
11 202256
12 201654
13 201254
14 201948
15 202046
16 201042
17 201839
18 202038
19 201235
20 201934

About Tam Vu

Tam Vu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering, Human-Computer Interaction, Signal Processing and Cognitive Neuroscience, having authored 104 papers that have together received 2.3k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (14 papers), Non-Invasive Vital Sign Monitoring (12 papers), Advanced Malware Detection Techniques (9 papers), User Authentication and Security Systems (8 papers), Gaze Tracking and Assistive Technology (7 papers), Complex Network Analysis Techniques (7 papers), Hand Gesture Recognition Systems (7 papers) and Interactive and Immersive Displays (7 papers). The work is most often cited by research in Human-Computer Interaction (251 citations), Signal Processing (281 citations), Computer Networks and Communications (380 citations), Computer Vision and Pattern Recognition (319 citations) and Cognitive Neuroscience (261 citations). Tam Vu has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include Phuc Nguyen, Anh Duy Nguyen, Hoang Truong, Marco Gruteser, Richard Han, Nam Bui, Richard P. Martin, Thang N. Dinh, Yingying Chen and Ann C. Halbower. Their work appears in journals such as Scientific Reports, IEEE Transactions on Mobile Computing, IEEE Access, Brain Behavior and Immunity and Communications of the ACM.

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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