Tam Vu

3.0k citations
100 papers · 2.1k indexed · h-index 26

Impact in

Papers in

Tam Vu

99 papers receiving 2.1k citations

Peers

Tam Vu
Comparison fields: 5 of 150
  • Human-Computer Interaction 244
  • Signal Processing 255
  • Computer Networks and Communications 357
  • Computer Vision and Pattern Recognition 301
  • Cognitive Neuroscience 258
Replace Yi‐Chao Chen with:
Yi‐Chao Chen China
Parth H. Pathak United States
Arpan Pal India
Shuangquan Wang China
Ig-Jae Kim South Korea
AbdulMalik S. Al‐Salman Saudi Arabia
Xiaodong Yang China
Khaled Elleithy United States
Yuan Zhang China
Tam Vu relative to Yi‐Chao Chen China Yi‐Chao Chen's profile →
Citations per field
00.5×1.5×2.4×
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 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011166
2 2016137
3 2017104
4 201889
5 201285
6 201470
7 201664
8 201163
9 201957
10 199956
11 202253
12 201653
13 201248
14 201945
15 201041
16 202040
17 201839
18 202036
19 201233
20 201933

About Tam Vu

Tam Vu is a scholar working on Human-Computer Interaction, Signal Processing, Cognitive Neuroscience, Biomedical Engineering and Statistical and Nonlinear Physics, having authored 100 papers that have together received 2.1k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (14 papers), Non-Invasive Vital Sign Monitoring (11 papers), Advanced Malware Detection Techniques (8 papers), User Authentication and Security Systems (8 papers), Interactive and Immersive Displays (7 papers), Gaze Tracking and Assistive Technology (7 papers), Complex Network Analysis Techniques (7 papers) and Hand Gesture Recognition Systems (7 papers). The work is most often cited by research in Human-Computer Interaction (244 citations), Signal Processing (255 citations), Computer Networks and Communications (357 citations), Computer Vision and Pattern Recognition (301 citations) and Cognitive Neuroscience (258 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, Marco Gruteser, Hoang Truong, Richard Han, Richard P. Martin, Thang N. Dinh, Nam Bui, Yingying Chen and Ann C. Halbower. Their work appears in journals such as IEEE Transactions on Mobile Computing, Scientific Reports, IEEE Access, Communications of the ACM and Biomicrofluidics.

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

Rankless by CCL
2026