Si Wu

1.0k total citations · 1 hit paper
33 papers, 668 citations indexed

About

Si Wu is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Computer Vision and Pattern Recognition. According to data from OpenAlex, Si Wu has authored 33 papers receiving a total of 668 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 12 papers in Cognitive Neuroscience and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Si Wu's work include Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (5 papers). Si Wu is often cited by papers focused on Neural dynamics and brain function (10 papers), Neuroscience and Neuropharmacology Research (7 papers) and Photoreceptor and optogenetics research (5 papers). Si Wu collaborates with scholars based in China, Hong Kong and United States. Si Wu's co-authors include Hau−San Wong, Wenming Cao, Rui Li, Qianfen Jiao, Shuchang He, Qingxuan Meng, Nanxin Li, Hongxiao Jia, Mingpo Yang and Yousheng Shu and has published in prestigious journals such as Journal of Neuroscience, Bioinformatics and PLoS ONE.

In The Last Decade

Si Wu

27 papers receiving 658 citations

Hit Papers

Model Adaptation: Unsupervised Domain Adaptation Without ... 2020 2026 2022 2024 2020 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Model Adaptation: Unsupervised Domain Adaptation Without Source Data
    2020 326 citations Rui Li, Qianfen Jiao et al. profile →

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 8 300 258 129 107 64 33 668
Diego Sona Italy 15 214 0.7× 152 0.6× 124 1.0× 239 2.2× 91 1.4× 67 878
Gido M. van de Ven United Kingdom 7 336 1.1× 164 0.6× 337 2.6× 483 4.5× 38 0.6× 9 1.0k
Bryan Seybold United States 7 418 1.4× 640 2.5× 218 1.7× 383 3.6× 45 0.7× 11 1.8k
Shaokai Ye United States 7 145 0.5× 198 0.8× 44 0.3× 61 0.6× 32 0.5× 9 538
Mu Zhou China 11 109 0.4× 102 0.4× 31 0.2× 49 0.5× 235 3.7× 48 748
Matthias Minderer United States 8 125 0.4× 191 0.7× 223 1.7× 331 3.1× 40 0.6× 11 684
Bailu Si China 15 83 0.3× 151 0.6× 296 2.3× 442 4.1× 35 0.5× 50 715
Xiaodong Zhang China 13 320 1.1× 83 0.3× 94 0.7× 395 3.7× 34 0.5× 69 830
Matthew L. Leavitt Canada 8 201 0.7× 282 1.1× 78 0.6× 269 2.5× 46 0.7× 12 782

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.
Chen, Tianyi, et al.. (2025). COME: contrastive mapping learning for spatial reconstruction of single-cell RNA sequencing data. Bioinformatics. 41(3). 2 indexed citations
2.
Wu, Si, et al.. (2025). Learning region-aware style-content feature transformations for face image beautification. Pattern Recognition. 170. 111861–111861.
3.
Wu, Si, et al.. (2025). A systems model of alternating theta sweeps via firing rate adaptation. Current Biology. 35(4). 709–722.e5. 4 indexed citations
4.
Li, Rui, et al.. (2024). Diverse Semantic Image Synthesis with various conditioning modalities. Knowledge-Based Systems. 309. 112727–112727.
5.
Wu, Wenhao, Hau−San Wong, Si Wu, & Tianyou Zhang. (2024). Relational Matching for Weakly Semi-Supervised Oriented Object Detection. 27800–27810. 3 indexed citations
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Yang, Fan, Laijun Chen, Zhongang Cai, et al.. (2024). AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing. 10596–10605. 2 indexed citations
10.
Huang, Tiejun, et al.. (2021). Noisy Adaptation Generates Lévy Flights in Attractor Neural Networks. UCL Discovery (University College London). 34. 1 indexed citations
11.
Wu, Si, et al.. (2021). Analysis of the Neuron Dynamics in Thalamic Reticular Nucleus by a Reduced Model. Frontiers in Computational Neuroscience. 15. 764153–764153. 4 indexed citations
12.
Li, Rui, Wenming Cao, Qianfen Jiao, Si Wu, & Hau−San Wong. (2020). Simplified unsupervised image translation for semantic segmentation adaptation. Pattern Recognition. 105. 107343–107343. 42 indexed citations
13.
Mi, Yuanyuan, et al.. (2016). Neural Computations in a Dynamical System with Multiple Time Scales. Frontiers in Computational Neuroscience. 10. 96–96. 6 indexed citations
14.
Yu, Zhiwen, Si Wu, Guoqiang Han, et al.. (2016). Incremental semi-supervised clustering ensemble for high dimensional data clustering. 1484–1485. 2 indexed citations
15.
Fung, Chi Chung Alan, K. Y. Michael Wong, Hongzi Mao, & Si Wu. (2015). Fluctuation-response relation unifies dynamical behaviors in neural fields. Physical Review E. 92(2). 22801–22801. 5 indexed citations
16.
Li, Tun, Cuiping Tian, Paolo Scalmani, et al.. (2014). Action Potential Initiation in Neocortical Inhibitory Interneurons. PLoS Biology. 12(9). e1001944–e1001944. 77 indexed citations
17.
Chen, Xiaojing, et al.. (2014). Binocular Input Coincidence Mediates Critical Period Plasticity in the Mouse Primary Visual Cortex. Journal of Neuroscience. 34(8). 2940–2955. 20 indexed citations
18.
Wu, Si, et al.. (2013). Design principles of the sparse coding network and the role of “sister cells” in the olfactory system of Drosophila. Frontiers in Computational Neuroscience. 7. 141–141. 6 indexed citations
19.
Jia, Hongxiao, et al.. (2009). Isolation rearing induces social and emotional function abnormalities and alters glutamate and neurodevelopment-related gene expression in rats. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 33(7). 1173–1177. 88 indexed citations
20.
Li, Sheng & Si Wu. (2004). On the variability of cortical neural responses: a statistical interpretation. Neurocomputing. 65-66. 409–414. 1 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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