Wei Tech Ang

168 papers receiving 2.9k citations

Peers

Wei Tech Ang
Comparison fields: 5 of 121
  • Neurology 546
  • Control and Systems Engineering 808
  • Cellular and Molecular Neuroscience 557
  • Rehabilitation 157
  • Biomedical Engineering 1.1k
Replace Cameron N. Riviere with:
Cameron N. Riviere United States
Philippe Poignet France
Dejan B. Popović Serbia
Hannes Bleuler Switzerland
Yoky Matsuoka United States
Eduardo Rocón Spain
Masakatsu G. Fujie Japan
Kalyana C. Veluvolu South Korea
Constantinos Mavroidis United States
Domenico Campolo Singapore
Wei Tech Ang relative to Cameron N. Riviere United States Cameron N. Riviere's profile →
Citations per field
00.5×
Cameron N. Riviere · 1×
Citations per year

Countries citing papers authored by Wei Tech Ang

Since Specialization
Citations

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

Fields of papers citing papers by Wei Tech Ang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 184 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007266
2 2003201
3 201186
4 200775
5 201072
6 200972
7 200468
8 201464
9 200763
10 201063
11 200859
12 200956
13 200453
14 200852
15 201649
16 201647
17 200545
18 201344
19 200243
20 201142

About Wei Tech Ang

Wei Tech Ang is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience, Control and Systems Engineering, Neurology and Cognitive Neuroscience, having authored 184 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (40 papers), Muscle activation and electromyography studies (39 papers), Piezoelectric Actuators and Control (33 papers), Neurological disorders and treatments (31 papers), Prosthetics and Rehabilitation Robotics (22 papers), Stroke Rehabilitation and Recovery (20 papers), EEG and Brain-Computer Interfaces (15 papers) and Force Microscopy Techniques and Applications (15 papers). The work is most often cited by research in Neurology (546 citations), Control and Systems Engineering (808 citations), Cellular and Molecular Neuroscience (557 citations), Rehabilitation (157 citations) and Biomedical Engineering (1.1k citations). Wei Tech Ang has collaborated with scholars based in Singapore, United States and South Korea. Frequent co-authors include Cameron N. Riviere, Kalyana C. Veluvolu, Win Tun Latt, Cheng Yap Shee, P.K. Khosla, Pradeep K. Khosla, U-Xuan Tan, Sivanagaraja Tatinati, Ferdinan Widjaja and Dingguo Zhang. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, IEEE Sensors Journal, Sensors, IEEE/ASME Transactions on Mechatronics and Sensors and Actuators A Physical.

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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