Si Wu

2.4k total citations
76 papers, 1.4k citations indexed

About

Si Wu is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Artificial Intelligence. According to data from OpenAlex, Si Wu has authored 76 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Cognitive Neuroscience, 19 papers in Cellular and Molecular Neuroscience and 19 papers in Artificial Intelligence. Recurrent topics in Si Wu's work include Neural dynamics and brain function (52 papers), Visual perception and processing mechanisms (18 papers) and Advanced Memory and Neural Computing (17 papers). Si Wu is often cited by papers focused on Neural dynamics and brain function (52 papers), Visual perception and processing mechanisms (18 papers) and Advanced Memory and Neural Computing (17 papers). Si Wu collaborates with scholars based in China, United States and United Kingdom. Si Wu's co-authors include Шун-ичи Амари, Hiroyuki Nakahara, Malte J. Rasch, Kang Lee, Misha Tsodyks, K. Y. Michael Wong, Luo Hong, Yutaka Sakai, Chi Chung Alan Fung and Wei Jing and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Neuron.

In The Last Decade

Si Wu

72 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Si Wu China 20 931 358 229 219 193 76 1.4k
Gan Huang China 22 924 1.0× 199 0.6× 162 0.7× 178 0.8× 140 0.7× 100 1.5k
Mahmood Amiri Iran 20 853 0.9× 535 1.5× 365 1.6× 129 0.6× 129 0.7× 73 1.3k
Joseph T. Francis United States 21 1.4k 1.5× 623 1.7× 198 0.9× 202 0.9× 377 2.0× 79 2.0k
Vladimir Maksimenko Russia 28 1.5k 1.6× 226 0.6× 219 1.0× 266 1.2× 213 1.1× 139 2.1k
Chen Liu China 23 792 0.9× 459 1.3× 254 1.1× 174 0.8× 65 0.3× 121 1.6k
Vadim Grubov Russia 20 850 0.9× 156 0.4× 74 0.3× 160 0.7× 80 0.4× 96 1.1k
George Zouridakis United States 33 2.0k 2.2× 276 0.8× 50 0.2× 302 1.4× 198 1.0× 113 2.9k
Natsue Yoshimura Japan 21 695 0.7× 425 1.2× 106 0.5× 63 0.3× 316 1.6× 98 1.3k
Jorge Riera United States 24 1.4k 1.5× 459 1.3× 77 0.3× 73 0.3× 89 0.5× 77 1.9k
Jean-Philippe Lachaux France 4 1.9k 2.1× 500 1.4× 81 0.4× 94 0.4× 64 0.3× 5 2.2k

Countries citing papers authored by Si Wu

Since Specialization
Citations

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

Fields of papers citing papers by Si Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Si Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Si Wu. A scholar is included among the top collaborators of Si Wu 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 Si Wu. Si Wu 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.
Dang, Yuanyuan, et al.. (2025). A shared central thalamus mechanism underlying diverse recoveries in disorders of consciousness. Nature Communications. 16(1). 10400–10400.
2.
Ran, Shujun, et al.. (2025). Pyroptosis in Pulpitis. Journal of Inflammation Research. Volume 18. 5867–5879. 1 indexed citations
3.
Huan, Yuxiang, et al.. (2025). Integrating physical units into high-performance AI-driven scientific computing. Nature Communications. 16(1). 3609–3609. 1 indexed citations
4.
5.
Zou, Xiaolong, et al.. (2023). Visual information processing through the interplay between fine and coarse signal pathways. Neural Networks. 166. 692–703. 2 indexed citations
6.
Mi, Yuanyuan, et al.. (2020). A Neural Network Model With Gap Junction for Topological Detection. Frontiers in Computational Neuroscience. 14. 571982–571982. 1 indexed citations
7.
Zhang, Wenhao, Si Wu, Brent Doiron, & Tai Sing Lee. (2019). A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits. Neural Information Processing Systems. 32. 3799–3808. 7 indexed citations
8.
9.
Mi, Yuanyuan, et al.. (2018). Dynamic Information Encoding With Dynamic Synapses in Neural Adaptation. Frontiers in Computational Neuroscience. 12. 16–16. 7 indexed citations
10.
Ding, Xiao Pan, Si Wu, Jiangang Liu, Genyue Fu, & Kang Lee. (2017). Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis. Scientific Reports. 7(1). 12085–12085. 13 indexed citations
11.
Zhang, Wenhao, He Wang, K. Y. Michael Wong, & Si Wu. (2016). “Congruent” and “Opposite” Neurons: Sisters for Multisensory Integration and Segregation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 29. 3180–3188. 5 indexed citations
12.
Zhang, Wenhao, Aihua Chen, Malte J. Rasch, & Si Wu. (2016). Decentralized Multisensory Information Integration in Neural Systems. Journal of Neuroscience. 36(2). 532–547. 32 indexed citations
13.
Wang, He, Kin‐Man Lam, Chi Chung Alan Fung, K. Y. Michael Wong, & Si Wu. (2015). Rich spectrum of neural field dynamics in the presence of short-term synaptic depression. Physical Review E. 92(3). 32908–32908. 3 indexed citations
14.
Xiao, Lei, Pu-Ming Zhang, Si Wu, & Pei-Ji Liang. (2014). Response dynamics of bullfrog ON-OFF RGCs to different stimulus durations. Journal of Computational Neuroscience. 37(1). 149–160. 5 indexed citations
15.
Yan, Yin, et al.. (2014). Perceptual training continuously refines neuronal population codes in primary visual cortex. Nature Neuroscience. 17(10). 1380–1387. 100 indexed citations
16.
Zhang, Wenhao & Si Wu. (2013). Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively. neural information processing systems. 26. 19–27. 4 indexed citations
17.
Li, Yuanqing, et al.. (2013). Nonlinear multiplicative dendritic integration in neuron and network models. Frontiers in Computational Neuroscience. 7. 56–56. 17 indexed citations
18.
Fung, Chi Chung Alan, K. Y. Michael Wong, & Si Wu. (2012). Delay Compensation with Dynamical Synapses. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 25. 1088–1096. 5 indexed citations
19.
Huang, Longwen, et al.. (2011). Impact of noise structure and network topology on tracking speed of neural networks. Neural Networks. 24(10). 1110–1119. 8 indexed citations
20.
Li, Sheng & Si Wu. (2007). Robustness of neural codes and its implication on natural image processing. Cognitive Neurodynamics. 1(3). 261–272. 4 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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