Yuguo Yu

3.9k total citations
75 papers, 2.7k citations indexed

About

Yuguo Yu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Statistical and Nonlinear Physics. According to data from OpenAlex, Yuguo Yu has authored 75 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Cognitive Neuroscience, 33 papers in Cellular and Molecular Neuroscience and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Yuguo Yu's work include Neural dynamics and brain function (44 papers), Neuroscience and Neuropharmacology Research (19 papers) and Neuroscience and Neural Engineering (17 papers). Yuguo Yu is often cited by papers focused on Neural dynamics and brain function (44 papers), Neuroscience and Neuropharmacology Research (19 papers) and Neuroscience and Neural Engineering (17 papers). Yuguo Yu collaborates with scholars based in China, United States and Italy. Yuguo Yu's co-authors include David A. McCormick, Yousheng Shu, Alvaro Duque, Andrea R. Hasenstaub, Bilal Haider, Shanglin Zhou, Tai Sing Lee, Lianchun Yu, Jing Yang and Feng Liu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Yuguo Yu

72 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuguo Yu China 26 1.6k 1.5k 495 443 258 75 2.7k
Paul Tiesinga United States 31 3.5k 2.1× 2.2k 1.4× 503 1.0× 664 1.5× 410 1.6× 118 4.5k
Miguel Valencia Spain 32 2.1k 1.3× 1.4k 0.9× 248 0.5× 206 0.5× 89 0.3× 96 3.6k
Sridhar Raghavachari United States 21 2.0k 1.2× 2.0k 1.3× 1.2k 2.5× 148 0.3× 188 0.7× 29 3.8k
Maria Toledo‐Rodriguez United Kingdom 18 2.1k 1.3× 2.5k 1.6× 860 1.7× 132 0.3× 265 1.0× 23 3.7k
Thilo Womelsdorf Canada 38 8.4k 5.1× 2.7k 1.8× 432 0.9× 405 0.9× 287 1.1× 82 9.4k
Tara C. Thiagarajan United States 15 1.6k 1.0× 1.2k 0.8× 493 1.0× 221 0.5× 146 0.6× 31 2.5k
Yael Amitai Israel 29 2.9k 1.7× 3.1k 2.0× 826 1.7× 247 0.6× 329 1.3× 68 4.5k
Fiona E. N. LeBeau United Kingdom 35 3.6k 2.2× 3.4k 2.3× 1.1k 2.2× 263 0.6× 166 0.6× 65 5.0k
Michael London Israel 21 1.9k 1.1× 1.9k 1.2× 592 1.2× 251 0.6× 530 2.1× 35 3.2k
Petra E. Vértes United Kingdom 33 3.5k 2.1× 476 0.3× 587 1.2× 311 0.7× 83 0.3× 62 5.0k

Countries citing papers authored by Yuguo Yu

Since Specialization
Citations

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

Fields of papers citing papers by Yuguo Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuguo Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Yuguo Yu. A scholar is included among the top collaborators of Yuguo Yu 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 Yuguo Yu. Yuguo Yu 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.
Staib, Lawrence H., et al.. (2024). In vivo neuropil density from anatomical MRI and machine learning. Cerebral Cortex. 34(5).
2.
Zheng, Ruizhe, et al.. (2023). ScatterFormer: Locally-Invariant Scattering Transformer for Patient-Independent Multispectral Detection of Epileptiform Discharges. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 148–158. 2 indexed citations
3.
Yu, Yuguo, et al.. (2023). Robust Evaluation and Comparison of EEG Source Localization Algorithms for Accurate Reconstruction of Deep Cortical Activity. Mathematics. 11(11). 2450–2450. 3 indexed citations
4.
Wang, Zhenyu, Anli Wang, Xi Zhao, et al.. (2022). A simultaneous electroencephalography and eye-tracking dataset in elite athletes during alertness and concentration tasks. Scientific Data. 9(1). 465–465. 10 indexed citations
5.
Lei, Yu, Yuzhu Li, Lianchun Yu, et al.. (2021). Faded Critical Dynamics in Adult Moyamoya Disease Revealed by EEG and fMRI. Oxidative Medicine and Cellular Longevity. 2021(1). 6640108–6640108. 2 indexed citations
6.
Du, Mengmeng, et al.. (2021). A dynamics model of neuron-astrocyte network accounting for febrile seizures. Cognitive Neurodynamics. 16(2). 411–423. 16 indexed citations
7.
Lei, Yu, Yuzhu Li, Wei Zhang, et al.. (2021). Changes in Brain Functional Network Connectivity in Adult Moyamoya Diseases. Cognitive Neurodynamics. 15(5). 861–872. 10 indexed citations
8.
Wang, Xinxing, Hanxiao Liu, Johannes Morstein, et al.. (2020). Metabolic tuning of inhibition regulates hippocampal neurogenesis in the adult brain. Proceedings of the National Academy of Sciences. 117(41). 25818–25829. 16 indexed citations
9.
Qi, Xiaoying, et al.. (2018). A Comparative Study of Standardized Infinity Reference and Average Reference for EEG of Three Typical Brain States. Frontiers in Neuroscience. 12. 158–158. 11 indexed citations
10.
Liu, Yujiang, Yue Yuan, Yuguo Yu, Liwei Liu, & Lianchun Yu. (2018). Effects of channel blocking on information transmission and energy efficiency in squid giant axons. Journal of Computational Neuroscience. 44(2). 219–231. 7 indexed citations
11.
Lei, Yu, Liang Chen, Jiabin Su, et al.. (2018). Reconfigured functional network dynamics in adult moyamoya disease: a resting-state fMRI study. Brain Imaging and Behavior. 14(3). 715–727. 17 indexed citations
12.
Yu, Lianchun, et al.. (2016). Energy-efficient population coding constrains network size of a neuronal array system. Scientific Reports. 6(1). 19369–19369. 21 indexed citations
13.
Zhou, Shanglin, Michele Migliore, & Yuguo Yu. (2016). Odor Experience Facilitates Sparse Representations of New Odors in a Large-Scale Olfactory Bulb Model. Frontiers in Neuroanatomy. 10. 10–10. 6 indexed citations
14.
Yu, Yuguo, et al.. (2013). Sparse Distributed Representation of Odors in a Large-scale Olfactory Bulb Circuit. PLoS Computational Biology. 9(3). e1003014–e1003014. 27 indexed citations
15.
Yu, Yuguo, Adam P. Hill, & David A. McCormick. (2012). Warm Body Temperature Facilitates Energy Efficient Cortical Action Potentials. PLoS Computational Biology. 8(4). e1002456–e1002456. 88 indexed citations
16.
Foust, Amanda J., Yuguo Yu, Marko Popović, Dejan Zečević, & David A. McCormick. (2011). Somatic Membrane Potential and Kv1 Channels Control Spike Repolarization in Cortical Axon Collaterals and Presynaptic Boutons. Journal of Neuroscience. 31(43). 15490–15498. 74 indexed citations
17.
Roš, Hana, Robert N. S. Sachdev, Yuguo Yu, Nenad Šestan, & David A. McCormick. (2009). Neocortical Networks Entrain Neuronal Circuits in Cerebellar Cortex. Journal of Neuroscience. 29(33). 10309–10320. 81 indexed citations
18.
Yu, Yuguo, Brian Potetz, & Tai Sing Lee. (2004). The role of spiking nonlinearity in contrast gain control and information transmission. Vision Research. 45(5). 583–592. 13 indexed citations
19.
Liu, Feng, et al.. (2004). Impact of spatially correlated noise on neuronal firing. Physical Review E. 69(1). 11909–11909. 31 indexed citations
20.
Yu, Yuguo & Tai Sing Lee. (2003). Dynamical mechanisms underlying contrast gain control in single neurons. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 68(1). 11901–11901. 27 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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