Daqing Guo

2.7k total citations
88 papers, 2.1k citations indexed

About

Daqing Guo is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Daqing Guo has authored 88 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Cognitive Neuroscience, 30 papers in Cellular and Molecular Neuroscience and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in Daqing Guo's work include Neural dynamics and brain function (54 papers), EEG and Brain-Computer Interfaces (25 papers) and Functional Brain Connectivity Studies (20 papers). Daqing Guo is often cited by papers focused on Neural dynamics and brain function (54 papers), EEG and Brain-Computer Interfaces (25 papers) and Functional Brain Connectivity Studies (20 papers). Daqing Guo collaborates with scholars based in China, United States and Japan. Daqing Guo's co-authors include Peng Xu, Dezhong Yao, Yangsong Zhang, Matjaž Perc, Dezhong Yao, Chunguang Li, Qingyun Wang, Yang Xia, Yan Cui and Fali Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Daqing Guo

81 papers receiving 2.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daqing Guo China 27 1.6k 636 541 323 314 88 2.1k
Peter J. Cadusch Australia 20 2.3k 1.4× 534 0.8× 216 0.4× 155 0.5× 132 0.4× 43 2.8k
Sonja Grün Germany 29 2.8k 1.7× 1.5k 2.4× 493 0.9× 412 1.3× 97 0.3× 107 3.3k
Jean-Philippe Lachaux France 4 1.9k 1.2× 500 0.8× 207 0.4× 81 0.3× 213 0.7× 5 2.2k
David C. Somers United States 29 3.8k 2.3× 766 1.2× 377 0.7× 185 0.6× 346 1.1× 75 4.3k
Jean M. Vettel United States 24 2.1k 1.3× 285 0.4× 163 0.3× 122 0.4× 103 0.3× 65 2.9k
Piotr J. Franaszczuk United States 27 2.5k 1.5× 767 1.2× 144 0.3× 131 0.4× 75 0.2× 82 2.9k
Romain Brette France 29 2.7k 1.7× 1.7k 2.7× 635 1.2× 1.4k 4.3× 184 0.6× 99 3.6k
Stan Gielen Netherlands 27 1.6k 1.0× 404 0.6× 129 0.2× 139 0.4× 133 0.4× 64 3.0k
Brian N. Lundstrom United States 26 1.6k 1.0× 990 1.6× 430 0.8× 183 0.6× 272 0.9× 94 3.0k
Danko Nikolić Germany 23 2.5k 1.5× 1.1k 1.8× 359 0.7× 245 0.8× 161 0.5× 50 3.1k

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-authorship network of co-authors of Daqing Guo

This figure shows the co-authorship network connecting the top 25 collaborators of Daqing Guo. A scholar is included among the top collaborators of Daqing Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daqing Guo. Daqing Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Wu, Chen, Mingqi Liu, Ting Liu, et al.. (2025). Mozart’s rhythm influence on Alzheimer’s disease progression via modulation of pathological damage and cognition. iScience. 28(8). 113168–113168.
2.
Song, Kechen, et al.. (2025). Manifold Embedding for Fast and Accurate 3D Reconstruction. IEEE Transactions on Multimedia. 27. 7109–7124.
3.
Song, Shiwei, Jie Liu, Dezhong Yao, et al.. (2024). The high frequency oscillations in the amygdala, hippocampus, and temporal cortex during mesial temporal lobe epilepsy. Cognitive Neurodynamics. 18(4). 1627–1639. 1 indexed citations
4.
Cui, Yan, et al.. (2023). A Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks. IEEE Transactions on Cognitive and Developmental Systems. 16(2). 544–558. 15 indexed citations
5.
Guo, Shuqi, Yan Cui, Yang Xia, et al.. (2023). Pattern recognition of schizophrenia based on multidimensional spatial feature fusion. SHILAP Revista de lepidopterología. 2(1). 2 indexed citations
6.
Cui, Yan, et al.. (2023). A Spatial–Channel–Temporal-Fused Attention for Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems. 35(10). 14315–14329. 12 indexed citations
7.
Cui, Yan, Ke Chen, Yang Xia, et al.. (2021). Identifying Refractory Epilepsy Without Structural Abnormalities by Fusing the Common Spatial Patterns of Functional and Effective EEG Networks. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 708–717. 15 indexed citations
8.
Cui, Yan, Min Li, Bharat B. Biswal, et al.. (2021). Dynamic Configuration of Coactive Micropatterns in the Default Mode Network During Wakefulness and Sleep. Brain Connectivity. 11(6). 471–482. 3 indexed citations
9.
Ju, Ying, et al.. (2021). Distribution of equal states for amplitude fluctuations in epileptic EEG. Biomedical Signal Processing and Control. 69. 102738–102738. 5 indexed citations
10.
Wang, Jun, et al.. (2020). Time irreversibility and amplitude irreversibility measures for nonequilibrium processes. Communications in Nonlinear Science and Numerical Simulation. 96. 105688–105688. 12 indexed citations
11.
Cui, Yan, Yang Xia, Yujia Guo, et al.. (2020). Altered Coactive Micropattern Connectivity in the Default-Mode Network during the Sleep-Wake Cycle. Neural Plasticity. 2020. 1–13. 2 indexed citations
12.
Qin, Yun, Nan Zhang, Yan Chen, et al.. (2020). How Alpha Rhythm Spatiotemporally Acts Upon the Thalamus-Default Mode Circuit in Idiopathic Generalized Epilepsy. IEEE Transactions on Biomedical Engineering. 68(4). 1282–1292. 13 indexed citations
13.
Yao, Dezhong, et al.. (2020). Shannon entropy and quantitative time irreversibility for different and even contradictory aspects of complex systems. Applied Physics Letters. 116(1). 19 indexed citations
14.
Guo, Daqing, et al.. (2019). Visual Evoked Response Modulation Occurs in a Complementary Manner Under Dynamic Circuit Framework. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(10). 2005–2014. 3 indexed citations
15.
Zhang, Ge, Daqing Guo, Fuqiang Wu, & Jun Ma. (2019). Memristive autapse involving magnetic coupling and excitatory autapse enhance firing. Neurocomputing. 379. 296–304. 25 indexed citations
16.
Zhang, Yangsong, Erwei Yin, Fali Li, et al.. (2019). Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs. Neural Networks. 119. 1–9. 29 indexed citations
17.
Yi, Chanlin, Peiyang Li, Fali Li, et al.. (2018). Sparse EEG Source Localization Using LAPPS: Least Absolute l-P (0<p<1) Penalized Solution. IEEE Transactions on Biomedical Engineering. 66(7). 1927–1939. 26 indexed citations
18.
Liu, Lingyu, Ruiling Zhang, Lin Chen, et al.. (2018). Chronic stress increases pain sensitivity via activation of the rACC–BLA pathway in rats. Experimental Neurology. 313. 109–123. 15 indexed citations
19.
Guo, Daqing, Yangsong Zhang, Fali Li, et al.. (2018). Periodic Visual Stimulation Induces Resting-State Brain Network Reconfiguration. Frontiers in Computational Neuroscience. 12. 21–21. 10 indexed citations
20.
Chen, Mingming, Daqing Guo, Min Li, et al.. (2015). Critical Roles of the Direct GABAergic Pallido-cortical Pathway in Controlling Absence Seizures. PLoS Computational Biology. 11(10). e1004539–e1004539. 62 indexed citations

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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