Daqing Guo
Impact in
- Cognitive Neuroscience top 1%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Functional Brain Connectivity Studies
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- stochastic dynamics and bifurcation
Papers in
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- Neural dynamics and brain function 55
- EEG and Brain-Computer Interfaces 25
- Functional Brain Connectivity Studies 22
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- Neuroscience and Neuropharmacology Research 19
- Neuroscience and Neural Engineering 12
- Photoreceptor and optogenetics research 11
- Co-authors
- Peng Xu (21 shared papers)Dezhong Yao (51 shared papers)Yangsong Zhang (19 shared papers)Matjaž Perc (5 shared papers)Chunguang Li (4 shared papers)Dezhong Yao (18 shared papers)Yang Xia (28 shared papers)Qingyun Wang (1 shared paper)
- Journals
- IEEE Transactions on Neural Systems and Rehabilitation Engineering (6 papers)Scientific Reports (5 papers)Neural Networks (5 papers)Nonlinear Dynamics (4 papers)PLoS Computational Biology (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Daqing Guo
90 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 128
- Cognitive Neuroscience 1.7k
- Statistical and Nonlinear Physics 565
- Cellular and Molecular Neuroscience 635
- Computer Networks and Communications 319
- Signal Processing 147
Countries citing papers authored by Daqing Guo
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
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.
All Works
Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 183 | |
| 2 | 2017 | 122 | |
| 3 | 2016 | 100 | |
| 4 | 2009 | 94 | |
| 5 | 2014 | 93 | |
| 6 | 2015 | 93 | |
| 7 | 2016 | 91 | |
| 8 | 2018 | 88 | |
| 9 | 2018 | 75 | |
| 10 | 2017 | 72 | |
| 11 | 2015 | 65 | |
| 12 | 2013 | 58 | |
| 13 | 2016 | 55 | |
| 14 | 2017 | 52 | |
| 15 | 2016 | 49 | |
| 16 | 2016 | 47 | |
| 17 | 2011 | 46 | |
| 18 | 2017 | 40 | |
| 19 | 2014 | 39 | |
| 20 | 2012 | 33 |
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 Artificial Intelligence, having authored 97 papers that have together received 2.3k indexed citations. Recurring topics across this work include Neural dynamics and brain function (55 papers), EEG and Brain-Computer Interfaces (25 papers), Functional Brain Connectivity Studies (22 papers), Neuroscience and Neuropharmacology Research (19 papers), stochastic dynamics and bifurcation (16 papers), Advanced Memory and Neural Computing (12 papers), Neuroscience and Neural Engineering (12 papers) and Photoreceptor and optogenetics research (11 papers). The work is most often cited by research in Cognitive Neuroscience (1.7k citations), Statistical and Nonlinear Physics (565 citations), Cellular and Molecular Neuroscience (635 citations), Computer Networks and Communications (319 citations) and Signal Processing (147 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, Chunguang Li, Dezhong Yao, Yang Xia, Qingyun Wang, Yan Cui and Fali Li. 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.