Wilson Low

5 papers receiving 415 citations

Hit Papers

A Randomized Controlled Trial of EEG-Based Motor Imagery ...20142026201820222014100200300

Peers

Wilson Low
Comparison fields: 5 of 54
  • Cognitive Neuroscience 335
  • Cellular and Molecular Neuroscience 164
  • Biomedical Engineering 163
  • Rehabilitation 106
  • Human-Computer Interaction 44
Replace Muhammad Samran Navid with:
Muhammad Samran Navid Denmark
Guillermo Asín-Prieto Spain
Esther Monge‐Pereira Spain
Tetsuo Ota Japan
Ruben I. Carino-Escobar Mexico
Mónica Rojas-Martínez Spain
Babak Afsharipour United States
Andrew James Thomas Stevenson Denmark
Naoki Ota Japan
Andrea Sarasola-Sanz Germany
Wilson Low relative to Muhammad Samran Navid Denmark Muhammad Samran Navid's profile →
Citations per field
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Muhammad Samran Navid · 1×
Citations per year

Countries citing papers authored by Wilson Low

Since Specialization
Citations

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

Fields of papers citing papers by Wilson Low

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wilson Low

This figure shows the co-authorship network connecting the top 25 collaborators of Wilson Low. A scholar is included among the top collaborators of Wilson Low 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 Wilson Low. Wilson Low is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
#WorkIndexed citations
1 0
2
Alignment Analyses in the Varus Osteoarthritic Knee Using Computer Navigation.
2
3 20
4
A Randomized Controlled Trial of EEG-Based Motor Imagery Brain-Computer Interface Robotic Rehabilitation for Strokebreakdown →
380
5 12
6 11

About Wilson Low

Wilson Low is a scholar working on Endocrine and Autonomic Systems, Rehabilitation and Orthopedics and Sports Medicine, having authored 6 papers that have together received 425 indexed citations. Recurring topics across this work include Tendon Structure and Treatment (1 paper), Total Knee Arthroplasty Outcomes (1 paper) and Orthopaedic implants and arthroplasty (1 paper). The work is most often cited by research in Cognitive Neuroscience (335 citations), Rehabilitation (106 citations) and Cellular and Molecular Neuroscience (164 citations). Wilson Low has collaborated with scholars based in Singapore and Switzerland. Frequent co-authors include Chuanchu Wang, Zheng Yang Chin, Karen Sui Geok Chua, Christopher Wee Keong Kuah, Kai Keng Ang, Kok Soon Phua, Cuntai Guan, Jaideepraj Rao, Clement Luck Khng Chia and Vishal G. Shelat. Their work appears in journals such as Foot & Ankle International, Clinical EEG and Neuroscience and Annals of the Academy of Medicine Singapore.

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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