Qiang Gui

1.0k citations
53 papers · 838 · h-index 16

Impact in

Papers in

Qiang Gui

52 papers receiving 826 citations

Peers

Qiang Gui
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 303
  • Cognitive Neuroscience 235
  • Civil and Structural Engineering 223
  • Polymers and Plastics 108
  • Human-Computer Interaction 30
Replace Changbo Liu with:
Changbo Liu China
Qi Xu China
Shan Jiang China
Carl Anthony United Kingdom
Chanho Jeong South Korea
Shuo Yang China
Xiyuan Chen China
Yingtao Li China
Longlong Chen China
Lichao Zhang China
Qiang Gui relative to Changbo Liu China Changbo Liu's profile →
Citations per field
00.5×7.5×
Changbo Liu · 1×
Citations per year

Countries citing papers authored by Qiang Gui

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Gui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018102
2 201681
3 201374
4 202257
5 201741
6 201438
7 201132
8 201130
9 201328
10 201727
11 201726
12 201020
13 201820
14 201517
15 202315
16 201715
17 201315
18 201114
19 201714
20 201114

About Qiang Gui

Qiang Gui is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Electrical and Electronic Engineering, Biomedical Engineering and Civil and Structural Engineering, having authored 53 papers that have together received 838 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (29 papers), EEG and Brain-Computer Interfaces (15 papers), Advanced Memory and Neural Computing (11 papers), Conducting polymers and applications (5 papers), Muscle activation and electromyography studies (5 papers), Concrete and Cement Materials Research (5 papers), Neural dynamics and brain function (5 papers) and Analytical Chemistry and Sensors (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (303 citations), Cognitive Neuroscience (235 citations), Civil and Structural Engineering (223 citations), Polymers and Plastics (108 citations) and Human-Computer Interaction (30 citations). Qiang Gui has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Weihua Pei, Kefei Li, Hongda Chen, Yijun Wang, Hongda Chen, Xuhong Guo, Rongyu Tang, Qiang Zeng, Xing Xiao and Kai Guo. Their work appears in journals such as Sensors and Actuators A Physical, Science China Technological Sciences, Science China Information Sciences, Chinese Physics Letters and Scientific Reports.

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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