Fo Hu

430 citations
29 papers · 261 · h-index 11

Impact in

Papers in

    • Muscle activation and electromyography studies 10
    • Advanced Sensor and Energy Harvesting Materials 6
    • Prosthetics and Rehabilitation Robotics 4
    • EEG and Brain-Computer Interfaces 12
    • Functional Brain Connectivity Studies 3

Fo Hu

27 papers receiving 255 citations

Peers

Fo Hu
Comparison fields: 5 of 60
  • Human-Computer Interaction 59
  • Cognitive Neuroscience 96
  • Physical Therapy, Sports Therapy and Rehabilitation 20
  • Biomedical Engineering 137
  • Rehabilitation 20
Replace Gianluca De Luca with:
Gianluca De Luca United States
Otniel Portillo-Rodríguez Mexico
Szczepan Paszkiel Poland
Debatri Chatterjee India
Karan Veer India
Ali Maleki Iran
Antonello Florio Italy
P. A. Karthick India
Nadica Miljković Serbia
Aberham Genetu Feleke China
Fo Hu relative to Gianluca De Luca United States Gianluca De Luca's profile →
Citations per field
00.5×1.5×1.9×
Gianluca De Luca · 1×
Citations per year

Countries citing papers authored by Fo Hu

Since Specialization
Citations

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

Fields of papers citing papers by Fo Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202037
2 202430
3 202127
4 202223
5 202118
6 201915
7 201913
8 201812
9 202111
10 202010
11 202010
12 20209
13 20248
14 20256
15 20186
16 20245
17 20244
18 20243
19 20213
20 20212

About Fo Hu

Fo Hu is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Social Psychology, Experimental and Cognitive Psychology and Computer Vision and Pattern Recognition, having authored 29 papers that have together received 261 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (12 papers), Muscle activation and electromyography studies (10 papers), Advanced Sensor and Energy Harvesting Materials (6 papers), Emotion and Mood Recognition (4 papers), Prosthetics and Rehabilitation Robotics (4 papers), Color perception and design (3 papers), Heart Rate Variability and Autonomic Control (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Human-Computer Interaction (59 citations), Cognitive Neuroscience (96 citations), Physical Therapy, Sports Therapy and Rehabilitation (20 citations), Biomedical Engineering (137 citations) and Rehabilitation (20 citations). Fo Hu has collaborated with scholars based in China. Frequent co-authors include Bin Zhou, Hong Wang, Yanzheng Lu, Xusheng Yang, Hong Wang, Hao Tang, Wen‐An Zhang, Lekai Zhang, Zhihan Zhang and Jichi Chen. Their work appears in journals such as Biomedical Signal Processing and Control, International Journal of Neural Systems, Journal of Neural Engineering, IEEE Sensors Journal and Journal of Engineering Design.

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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