Si Wu

4.5k total citations · 1 hit paper
106 papers, 2.5k citations indexed

About

Si Wu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Si Wu has authored 106 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 51 papers in Artificial Intelligence and 14 papers in Molecular Biology. Recurrent topics in Si Wu's work include Domain Adaptation and Few-Shot Learning (29 papers), Generative Adversarial Networks and Image Synthesis (24 papers) and Video Surveillance and Tracking Methods (18 papers). Si Wu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (29 papers), Generative Adversarial Networks and Image Synthesis (24 papers) and Video Surveillance and Tracking Methods (18 papers). Si Wu collaborates with scholars based in China, Hong Kong and United Kingdom. Si Wu's co-authors include Шун-ичи Амари, Hau−San Wong, Zhiwen Yu, Cheng Liu, K. Y. Michael Wong, Seong Soo A. An, John Hulme, Rui Li, Bo Li and Vo Van Giau and has published in prestigious journals such as Journal of Biological Chemistry, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Si Wu

103 papers receiving 2.4k citations

Hit Papers

align trajectories

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.

Improving support vector machine classifiers by modifying kernel functions

1999 667 citations Шун-ичи Амари, Si Wu profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Si Wu China	23	1.1k	1.0k	265	239	222	106	2.5k
Preetha Phillips United States	34	1.3k 1.2×	1.4k 1.4×	180 0.7×	109 0.5×	113 0.5×	58	4.0k
Friedhelm Schwenker Germany	30	1.4k 1.3×	828 0.8×	84 0.3×	205 0.9×	103 0.5×	189	3.2k
Peiyi Shen China	29	464 0.4×	1.2k 1.2×	186 0.7×	145 0.6×	147 0.7×	93	2.6k
Tianyi Zhou United States	25	1.5k 1.4×	1.1k 1.1×	145 0.5×	146 0.6×	151 0.7×	108	3.1k
Maurizio Filippone United Kingdom	20	934 0.9×	416 0.4×	206 0.8×	79 0.3×	157 0.7×	62	1.8k
Subhash Bagui United States	12	1.4k 1.3×	663 0.7×	176 0.7×	111 0.5×	326 1.5×	42	2.5k
Guorong Li China	27	1.2k 1.1×	2.4k 2.4×	234 0.9×	141 0.6×	105 0.5×	128	3.6k
Pavel Pudil Czechia	15	1.5k 1.4×	1.3k 1.3×	417 1.6×	134 0.6×	98 0.4×	63	3.5k
Jihoon Yang South Korea	16	1.1k 1.0×	479 0.5×	297 1.1×	86 0.4×	103 0.5×	67	2.0k
M. Tanveer India	38	2.5k 2.3×	1.9k 1.9×	221 0.8×	374 1.6×	378 1.7×	185	5.0k

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yin, Xingyao, et al.. (2025). Bayesian AVO inversion of fluid and anisotropy parameters in VTI media using IADR-Gibbs algorithm. Petroleum Science. 22(9). 3565–3582.

Chen, Tianyi, Yunfei Zhang, Cheng Liu, et al.. (2024). SELF-Former: multi-scale gene filtration transformer for single-cell spatial reconstruction. Briefings in Bioinformatics. 25(6). 1 indexed citations

Cao, Wenming, et al.. (2024). EviD-GAN: Improving GAN With an Infinite Set of Discriminators at Negligible Cost. IEEE Transactions on Neural Networks and Learning Systems. 36(4). 6422–6436. 1 indexed citations

Liu, Cheng, Rui Li, Hangjun Che, et al.. (2024). Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering. 36(12). 8655–8669. 7 indexed citations

Jiao, Qianfen, et al.. (2024). Cluster-based Adversarial Decision Boundary for domain-adaptive open set recognition. Knowledge-Based Systems. 289. 111478–111478. 1 indexed citations

Liu, Cheng, Rui Li, Hangjun Che, et al.. (2024). Beyond Euclidean Structures: Collaborative Topological Graph Learning for Multiview Clustering. IEEE Transactions on Neural Networks and Learning Systems. 36(6). 10606–10618. 2 indexed citations

Wu, Si, et al.. (2024). Path to Green Development: How Do ESG Ratings Affect Green Total Factor Productivity?. Sustainability. 16(23). 10653–10653. 3 indexed citations

Zhang, Yunfei, et al.. (2023). Semi-supervised class-conditional image synthesis with Semantics-guided Adaptive Feature Transforms. Pattern Recognition. 146. 110022–110022. 3 indexed citations

Li, Xiang, Sili He, Xingping Zhao, et al.. (2023). High-grade cervical lesions diagnosed by JAM3/PAX1 methylation in high-risk human papillomavirus-infected patients.. PubMed. 48(12). 1820–1829. 3 indexed citations

10.

Zhang, Yunfei, et al.. (2023). Exploring Intra-class Variation Factors with Learnable Cluster Prompts for Semi-supervised Image Synthesis. 1 indexed citations

11.

Wu, Si, et al.. (2023). In Silico Screening, In Vitro Mpro Inhibitory, and Adjunctive Therapy Value of Minocycline for the Treatment of COVID-19. Journal of Clinical Pharmacy and Therapeutics. 2023. 1–12. 1 indexed citations

12.

Yang, Jingjing, et al.. (2023). Aicardi-Goutières syndrome type 7 in a Chinese child: A case report. World Journal of Clinical Cases. 11(11). 2452–2456. 2 indexed citations

13.

Wu, Si, et al.. (2023). Collaborative learning-based unknown-class instance identification for open-set domain adaptation. Information Sciences. 651. 119704–119704. 2 indexed citations

14.

Liu, Cheng, et al.. (2021). Knowledge Exchange Between Domain-Adversarial and Private Networks Improves Open Set Image Classification. IEEE Transactions on Image Processing. 30. 5807–5818. 6 indexed citations

15.

Wu, Wenhao, et al.. (2020). KTransGAN: Variational Inference-Based Knowledge Transfer for Unsupervised Conditional Generative Learning. IEEE Transactions on Multimedia. 23. 3318–3331. 8 indexed citations

16.

Li, Jinquan, Li Zhi, Yang Zhou, et al.. (2015). Genotypic Analyses and Virulence Characterization of Listeria monocytogenes Isolates from Crayfish (Procambarus clarkii). Current Microbiology. 70(5). 704–709. 6 indexed citations

17.

Wu, Si & Pei-Ji Liang. (2010). Computational neuroscience in China. Science China Life Sciences. 53(3). 385–397. 2 indexed citations

18.

Wu, Si, Alan Wee‐Chung Liew, Hong Yan, & Mengsu Yang. (2004). Cluster Analysis of Gene Expression Data Based on Self-Splitting and Merging Competitive Learning. IEEE Transactions on Information Technology in Biomedicine. 8(1). 5–15. 64 indexed citations

19.

Wu, Si, Hiroyuki Nakahara, Noboru Murata, & Шун-ичи Амари. (1999). Population Decoding Based on an Unfaithful Model. Neural Information Processing Systems. 12. 192–198. 10 indexed citations

20.

Wu, Si & K. Y. Michael Wong. (1998). Dynamic overload control for distributed call processors using the neural network method. IEEE Transactions on Neural Networks. 9(6). 1377–1387. 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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