Nam Bui

29 papers receiving 560 citations

Peers

Nam Bui
Comparison fields: 5 of 111
  • Human-Computer Interaction 127
  • Cognitive Neuroscience 147
  • Signal Processing 43
  • Parasitology 20
  • Biomedical Engineering 134
Replace Rui Na with:
Rui Na China
Mohammad Fraiwan Jordan
Soumyadipta Acharya United States
Chuchart Pintavirooj Thailand
Mehmet Akif Özdemir Türkiye
Onan Güren Türkiye
Adnan Yousaf Pakistan
Manuel Domínguez-Morales Spain
Nam Bui relative to Rui Na China Rui Na's profile →
Citations per field
00.5×6.7×
Rui Na · 1×
Citations per year

Countries citing papers authored by Nam Bui

Since Specialization
Citations

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

Fields of papers citing papers by Nam Bui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201891
2 199668
3 201959
4 202041
5 201839
6 202038
7 199935
8 200723
9 202121
10 201721
11 201918
12 202017
13 202014
14 202014
15 201710
16 20229
17
Mutational analysis of the protein subunits of the signal recognition particle Alu-domain.
19978
18 20208
19 20217
20 20257

About Nam Bui

Nam Bui is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Human-Computer Interaction, Pulmonary and Respiratory Medicine and Experimental and Cognitive Psychology, having authored 30 papers that have together received 573 indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (7 papers), Hand Gesture Recognition Systems (4 papers), Sarcoma Diagnosis and Treatment (3 papers), Sleep and Wakefulness Research (3 papers), Healthcare Technology and Patient Monitoring (3 papers), Sleep and Work-Related Fatigue (3 papers), Soft tissue tumor case studies (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Human-Computer Interaction (127 citations), Cognitive Neuroscience (147 citations), Signal Processing (43 citations), Parasitology (20 citations) and Biomedical Engineering (134 citations). Nam Bui has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Tam Vu, Phuc Nguyen, Hoang Truong, Thang N. Dinh, Anh Duy Nguyen, Katharina Strub, Pamela C. Tucker, Steve Wesselingh, Seung‐il Choi and Diane E. Griffin. Their work appears in journals such as Journal of Clinical Oncology, Scientific Reports, Pediatric Pulmonology, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies and ESMO Open.

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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