Kai Keng Ang

11.9k citations
193 papers · 8.5k indexed · 3 hit papers · h-index 42

Kai Keng Ang

190 papers receiving 8.3k citations

Hit Papers

A Randomized Controlled Trial of EEG-Based Motor Imagery ...38020082026201420202505007501000

Peers

Kai Keng Ang
Comparison fields: 5 of 121
  • Cognitive Neuroscience 7.4k
  • Human-Computer Interaction 1.7k
  • Cellular and Molecular Neuroscience 3.2k
  • Signal Processing 1.7k
  • Rehabilitation 680
Replace Gernot Müller-Putz with:
Gernot Müller-Putz Austria
Christa Neuper Austria
Reinhold Scherer Austria
Gerwin Schalk United States
Clemens Brunner Austria
Gert Pfurtscheller Austria
Febo Cincotti Italy
Alois Schlögl Austria
Fabien Lotte France
Haihong Zhang Singapore
Kai Keng Ang relative to Gernot Müller-Putz Austria Gernot Müller-Putz's profile →
Citations per field
00.5×1.7×
Gernot Müller-Putz · 1×
Citations per year

Countries citing papers authored by Kai Keng Ang

Since Specialization
Citations

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

Fields of papers citing papers by Kai Keng Ang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai Keng Ang. 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 Kai Keng Ang. The network helps show where Kai Keng Ang may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20243
4 20241
5 202310
6 20239
7 20231
8 20231
9 20235
10 20231
11 2020110
12 2020158
13 202033
14 201919
15 2019141
16 201968
17 201911
18 20178
19 201118
20 2010169

About Kai Keng Ang

Kai Keng Ang is a scholar working on Cognitive Neuroscience, Human-Computer Interaction and Signal Processing, having authored 193 papers that have together received 8.5k indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (161 papers), Neuroscience and Neural Engineering (67 papers), Blind Source Separation Techniques (45 papers), Gaze Tracking and Assistive Technology (39 papers), Neural dynamics and brain function (35 papers), Muscle activation and electromyography studies (22 papers), Advanced Memory and Neural Computing (20 papers) and Functional Brain Connectivity Studies (16 papers). The work is most often cited by research in Cognitive Neuroscience (7.4k citations), Human-Computer Interaction (1.7k citations) and Cellular and Molecular Neuroscience (3.2k citations). Kai Keng Ang has collaborated with scholars based in Singapore, United Kingdom and China. Frequent co-authors include Cuntai Guan, Zheng Yang Chin, Haihong Zhang, Chuanchu Wang, Chai Quek, Kok Soon Phua, Mahnaz Arvaneh, Karen Sui Geok Chua, Christopher Wee Keong Kuah and A. P. Vinod. Their work appears in journals such as SHILAP Revista de lepidopterología, NeuroImage and Cancer.

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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