Michael J. Fu

24 papers receiving 508 citations

Peers

Michael J. Fu
Comparison fields: 5 of 72
  • Rehabilitation 132
  • Physical Therapy, Sports Therapy and Rehabilitation 37
  • Human-Computer Interaction 43
  • Cognitive Neuroscience 127
  • Neurology 51
Replace Miguel Velhote Correia with:
Miguel Velhote Correia Portugal
Liang Peng China
Xugang Xi China
Deepak Joshi India
Shuai Cao China
Weiqun Wang China
Milica Djurić-Jovičić Serbia
Antônio Padilha Lanari Bó Brazil
Zhichuan Tang China
Michael J. Fu relative to Miguel Velhote Correia Portugal Miguel Velhote Correia's profile →
Citations per field
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Miguel Velhote Correia · 1×
Citations per year

Countries citing papers authored by Michael J. Fu

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Fu. 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 Michael J. Fu. The network helps show where Michael J. Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010127
2 2015116
3 201958
4 201234
5 201025
6 201523
7 202121
8 201218
9 201113
10 201012
11 200612
12 200610
13 201910
14 201010
15 20208
16
Improving visual estimates of cervical spine range of motion.
20146
17 20224
18 20204
19 20063
20 20162

About Michael J. Fu

Michael J. Fu is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Rehabilitation, Human-Computer Interaction and Psychiatry and Mental health, having authored 26 papers that have together received 521 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (9 papers), Stroke Rehabilitation and Recovery (7 papers), EEG and Brain-Computer Interfaces (6 papers), Teleoperation and Haptic Systems (4 papers), Cerebral Palsy and Movement Disorders (4 papers), Tactile and Sensory Interactions (4 papers), Virtual Reality Applications and Impacts (3 papers) and Motor Control and Adaptation (3 papers). The work is most often cited by research in Rehabilitation (132 citations), Physical Therapy, Sports Therapy and Rehabilitation (37 citations), Human-Computer Interaction (43 citations), Cognitive Neuroscience (127 citations) and Neurology (51 citations). Michael J. Fu has collaborated with scholars based in United States, Türkiye and Jordan. Frequent co-authors include M. Cenk Çavuşoğlu, Jayme S. Knutson, John Chae, Lynne R. Sheffler, Özkan Bebek, Mehran Mehregany, Carlos H. Mastrangelo, Srihari Rajgopal, Xuemei Huang and Michael A. Suster. Their work appears in journals such as Physical Medicine and Rehabilitation Clinics of North America, American Journal of Occupational Therapy, IEEE Transactions on Circuits & Systems II Express Briefs, Journal of Neurophysiology and Disability and Rehabilitation.

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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