Qiang Gui

1.1k citations
57 papers · 885 · h-index 16

Impact in

Papers in

Qiang Gui

53 papers receiving 874 citations

Peers

Qiang Gui
Comparison fields: 5 of 104
  • Cellular and Molecular Neuroscience 302
  • Cognitive Neuroscience 239
  • Civil and Structural Engineering 229
  • Polymers and Plastics 110
  • Bioengineering 28
Replace Changbo Liu with:
Changbo Liu China
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Shan Jiang China
Tianda Fu United States
Takeshi Kawano Japan
Shuo Yang China
Yunqi Cao United States
Yingtao Li China
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Qiang Gui relative to Changbo Liu China Changbo Liu's profile →
Citations per field
00.5×2×4×5.4×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018104
2 201682
3 201378
4 202268
5 201746
6 201439
7 201135
8 201132
9 201329
10 201728
11 201727
12 201823
13 201020
14 202317
15 201517
16 201716
17 201315
18 201715
19 201114
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 57 papers that have together received 885 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (29 papers), EEG and Brain-Computer Interfaces (16 papers), Advanced Memory and Neural Computing (11 papers), Neural dynamics and brain function (6 papers), Conducting polymers and applications (5 papers), Concrete and Cement Materials Research (5 papers), Muscle activation and electromyography studies (5 papers) and Concrete Corrosion and Durability (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (302 citations), Cognitive Neuroscience (239 citations), Civil and Structural Engineering (229 citations), Polymers and Plastics (110 citations) and Bioengineering (28 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, Xuhong Guo, Hongda Chen, Rongyu Tang, Qiang Zeng, Xing Xiao and Kai Guo. Their work appears in journals such as Science China Technological Sciences, Sensors and Actuators A Physical, Science China Information Sciences, Microsystems & Nanoengineering and Chinese Physics Letters.

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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