Maoqi Chen

819 citations
37 papers · 552 · h-index 11

Impact in

Papers in

Maoqi Chen

33 papers receiving 524 citations

Peers

Maoqi Chen
Comparison fields: 5 of 53
  • Cognitive Neuroscience 291
  • Biomedical Engineering 455
  • Cellular and Molecular Neuroscience 152
  • Rehabilitation 33
  • Human-Computer Interaction 24
Replace Anna Margherita Castronovo with:
Anna Margherita Castronovo Italy
Dan Stashuk Canada
An H. United States
Vahid Shalchyan Iran
Zoia C. Lateva United States
Rositsa Raikova Bulgaria
Simon Avrillon France
Mónica Rojas-Martínez Spain
Shey-Sheen Chang United States
Bryan R. Schlink United States
Maoqi Chen relative to Anna Margherita Castronovo Italy Anna Margherita Castronovo's profile →
Citations per field
00.5×1.5×2.2×
Anna Margherita Castronovo · 1×
Citations per year

Countries citing papers authored by Maoqi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Maoqi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015187
2 201753
3 201837
4 201833
5 201632
6 202027
7 202122
8 202316
9 202115
10 201613
11 202313
12 202110
13 201810
14 20249
15 20229
16 20228
17 20217
18 20217
19 20227
20 20225

About Maoqi Chen

Maoqi Chen is a scholar working on Biomedical Engineering, Cognitive Neuroscience, Cellular and Molecular Neuroscience, Signal Processing and Neurology, having authored 37 papers that have together received 552 indexed citations. Recurring topics across this work include Muscle activation and electromyography studies (28 papers), EEG and Brain-Computer Interfaces (17 papers), Neuroscience and Neural Engineering (12 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Motor Control and Adaptation (4 papers), Blind Source Separation Techniques (4 papers), Stroke Rehabilitation and Recovery (3 papers) and ECG Monitoring and Analysis (3 papers). The work is most often cited by research in Cognitive Neuroscience (291 citations), Biomedical Engineering (455 citations), Cellular and Molecular Neuroscience (152 citations), Rehabilitation (33 citations) and Human-Computer Interaction (24 citations). Maoqi Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Ping Zhou, Xu Zhang, Xiang Chen, Xiaoyan Li, Zhiyuan Lu, Xun Chen, Aleš Holobar, Xiao Tang, Sheng Li and Aiping Liu. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Transactions on Biomedical Engineering, Frontiers in Neuroscience, Muscle & Nerve and Neural Plasticity.

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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