Rifai Chai

2.2k citations
83 papers · 1.6k indexed · h-index 20
Topics
EEG and Brain-Computer Interfaces (37 papers)Heart Rate Variability and Autonomic Control (15 papers)Muscle activation and electromyography studies (15 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessSensors
Partner nations
AustraliaIndonesiaChina

In The Last Decade

Rifai Chai

74 papers receiving 1.5k citations

Peers

Rifai Chai
Comparison fields: 5 of 119
  • Cognitive Neuroscience 835
  • Experimental and Cognitive Psychology 532
  • Cardiology and Cardiovascular Medicine 338
  • Biomedical Engineering 247
  • Social Psychology 167
Replace Hugo Silva with:
Hugo Silva Portugal
Scott E. Kerick United States
Adriano de Oliveira Andrade Brazil
Daniel J. Levendowski United States
Julien Penders Netherlands
Siti Anom Ahmad Malaysia
Lin Shu China
Christos A. Frantzidιs Greece
Alessandro Tognetti Italy
Sylvie Charbonnier France
Rifai Chai relative to Hugo Silva Portugal Hugo Silva's profile →
Citations per field
00.5×1.5×2.3×
Hugo Silva · 1×
Citations per year

Countries citing papers authored by Rifai Chai

Since Specialization
Citations

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

Fields of papers citing papers by Rifai Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rifai Chai

This figure shows the co-authorship network connecting the top 25 collaborators of Rifai Chai. A scholar is included among the top collaborators of Rifai Chai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rifai Chai. Rifai Chai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 1
6 2
7 1
8 0
9 1
10 1
11 6
12 2
13 0
14 12
15 19
16 1
17 191
18 4
19 37
20 18

About Rifai Chai

Rifai Chai is a scholar working on Human-Computer Interaction, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 83 papers that have together received 1.6k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (37 papers), Heart Rate Variability and Autonomic Control (15 papers) and Muscle activation and electromyography studies (15 papers). The work is most often cited by research in Cognitive Neuroscience (835 citations), Experimental and Cognitive Psychology (532 citations) and Human-Computer Interaction (157 citations). Rifai Chai has collaborated with scholars based in Australia, Indonesia and China. Frequent co-authors include Hung T. Nguyen, Yvonne Tran, Sai Ho Ling, Ashley Craig, Ganesh R. Naik, Tuan Nghia Nguyen, Steven W. Su, Henry Candra, Aaron J. Coutts and Mitchell R. Smith. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

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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