Yaqi Chu

641 citations
31 papers · 460 · h-index 11

Impact in

Papers in

    • EEG and Brain-Computer Interfaces 17
    • Muscle activation and electromyography studies 12
    • Soft Robotics and Applications 3
    • Prosthetics and Rehabilitation Robotics 3
    • Gait Recognition and Analysis 2

Yaqi Chu

30 papers receiving 451 citations

Peers

Yaqi Chu
Comparison fields: 5 of 74
  • Human-Computer Interaction 119
  • Cognitive Neuroscience 299
  • Cellular and Molecular Neuroscience 113
  • Rehabilitation 32
  • Biomedical Engineering 172
Replace Attila Korik with:
Attila Korik United Kingdom
Keun-Tae Kim South Korea
Alkinoos Athanasiou Greece
Byung Hyung Kim South Korea
Long Meng China
Natasha Padfield United Kingdom
Weibo Yi China
Dalin Yang South Korea
Haoshi Zhang China
Roberto A. Gómez‐Loenzo Mexico
Yaqi Chu relative to Attila Korik United Kingdom Attila Korik's profile →
Citations per field
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Attila Korik · 1×
Citations per year

Countries citing papers authored by Yaqi Chu

Since Specialization
Citations

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

Fields of papers citing papers by Yaqi Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202068
2 201767
3 201657
4 201846
5 202239
6 202135
7 202221
8 202421
9 202112
10 201411
11 201810
12 202110
13 201410
14 20189
15 20228
16 20255
17 20185
18 20224
19 20104
20 20243

About Yaqi Chu

Yaqi Chu is a scholar working on Cognitive Neuroscience, Biomedical Engineering, Human-Computer Interaction, Cellular and Molecular Neuroscience and Rehabilitation, having authored 31 papers that have together received 460 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Muscle activation and electromyography studies (12 papers), Neuroscience and Neural Engineering (10 papers), Gaze Tracking and Assistive Technology (9 papers), Stroke Rehabilitation and Recovery (3 papers), Soft Robotics and Applications (3 papers), Prosthetics and Rehabilitation Robotics (3 papers) and Gait Recognition and Analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (119 citations), Cognitive Neuroscience (299 citations), Cellular and Molecular Neuroscience (113 citations), Rehabilitation (32 citations) and Biomedical Engineering (172 citations). Yaqi Chu has collaborated with scholars based in China, New Zealand and United Kingdom. Frequent co-authors include Xingang Zhao, Jianda Han, Yiwen Zhao, Daohui Zhang, Wei Xu, Yijun Zou, Yang Su, Dezhen Xiong, Bo Zhu and Zhiqiang Zhang. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Frontiers in Neurorobotics, Frontiers in Neuroscience, Science China Technological Sciences and IEEE/CAA Journal of Automatica Sinica.

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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