Daqing Guo

2.7k citations
88 papers · 2.1k · h-index 27

Impact in

Papers in

    • Neural dynamics and brain function 54
    • EEG and Brain-Computer Interfaces 25
    • Functional Brain Connectivity Studies 20
    • Neuroscience and Neuropharmacology Research 18
    • Neuroscience and Neural Engineering 10
    • Photoreceptor and optogenetics research 9

Daqing Guo

81 papers receiving 2.1k citations

Peers

Daqing Guo
Comparison fields: 5 of 127
  • Cognitive Neuroscience 1.6k
  • Statistical and Nonlinear Physics 541
  • Cellular and Molecular Neuroscience 636
  • Signal Processing 154
  • Computer Networks and Communications 314
Replace Peter J. Cadusch with:
Peter J. Cadusch Australia
Jean M. Vettel United States
Sonja Grün Germany
Piotr J. Franaszczuk United States
Jean-Philippe Lachaux France
Luc P. J. Selen Netherlands
Stan Gielen Netherlands
Joseph T. Francis United States
David C. Somers United States
Slawomir J. Nasuto United Kingdom
Daqing Guo relative to Peter J. Cadusch Australia Peter J. Cadusch's profile →
Citations per field
00.5×3.3×
Peter J. Cadusch · 1×
Citations per year

Countries citing papers authored by Daqing Guo

Since Specialization
Citations

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

Fields of papers citing papers by Daqing Guo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012181
2 2017117
3 201698
4 200991
5 201590
6 201690
7 201487
8 201882
9 201874
10 201771
11 201562
12 201356
13 201652
14 201648
15 201748
16 201646
17 201146
18 201737
19 201434
20 201233

About Daqing Guo

Daqing Guo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Statistical and Nonlinear Physics, Electrical and Electronic Engineering and Signal Processing, having authored 88 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neural dynamics and brain function (54 papers), EEG and Brain-Computer Interfaces (25 papers), Functional Brain Connectivity Studies (20 papers), Neuroscience and Neuropharmacology Research (18 papers), stochastic dynamics and bifurcation (15 papers), Advanced Memory and Neural Computing (11 papers), Neuroscience and Neural Engineering (10 papers) and Photoreceptor and optogenetics research (9 papers). The work is most often cited by research in Cognitive Neuroscience (1.6k citations), Statistical and Nonlinear Physics (541 citations), Cellular and Molecular Neuroscience (636 citations), Signal Processing (154 citations) and Computer Networks and Communications (314 citations). Daqing Guo has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Peng Xu, Dezhong Yao, Yangsong Zhang, Matjaž Perc, Dezhong Yao, Chunguang Li, Qingyun Wang, Yang Xia, Fali Li and Yan Cui. Their work appears in journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, Scientific Reports, Neural Networks, Nonlinear Dynamics and PLoS Computational Biology.

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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