Si Si

118 papers receiving 3.5k citations

Si Si's Hit Papers

Cluster-GCN 2019 · 839 citations
8390+5+11Years since publication250500750

Peers

Si Si
Comparison fields: 5 of 189
  • Computational Mathematics 38
  • Artificial Intelligence 1.3k
  • Computer Vision and Pattern Recognition 788
  • Renewable Energy, Sustainability and the Environment 297
  • Statistical and Nonlinear Physics 219
Replace Shiyuan Wang with:
Shiyuan Wang China
Zheng Zheng China
Mohammad Tariqul Islam Malaysia
Shotaro Sano Japan
Weifeng Lv China
Brian J. Gallagher United States
Dan Chen China
Yun Liang China
Shuqiang Wang China
Mehmet Gönen Türkiye
Si Si relative to Shiyuan Wang China Shiyuan Wang's profile →
Citations per field
00.5×2×3×3.8×
Shiyuan Wang · 1×
Citations per year

Countries citing papers authored by Si Si

Since Specialization
Citations

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

Fields of papers citing papers by Si Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Si Si, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Si Si Line = papers co-authored together Si Si links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cluster-GCN
Hit paper breakdown →
2019839
2
Bregman Divergence-Based Regularization for Transfer Subspace Learning
Hit paper breakdown →
2009407
3 2017289
4 2012173
5 2013126
6 201389
7
Gradient boosted decision trees for high dimensional sparse output
201777
8 201474
9 201969
10 202165
11 202059
12 201858
13 201350
14 202049
15 201948
16 202143
17 202240
18 201837
19 201437
20 202032

About Si Si

Si Si is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Finance, Experimental and Cognitive Psychology and Renewable Energy, Sustainability and the Environment, having authored 130 papers that have together received 3.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Creativity in Education and Neuroscience (8 papers), Electrocatalysts for Energy Conversion (8 papers), Stochastic processes and financial applications (8 papers), Advanced battery technologies research (7 papers), Occupational exposure and asthma (5 papers), Fuel Cells and Related Materials (5 papers) and Stochastic Gradient Optimization Techniques (5 papers). The work is most often cited by research in Computational Mathematics (38 citations), Artificial Intelligence (1.3k citations), Computer Vision and Pattern Recognition (788 citations), Renewable Energy, Sustainability and the Environment (297 citations) and Statistical and Nonlinear Physics (219 citations). Si Si has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Cho‐Jui Hsieh, Samy Bengio, Dacheng Tao, Xuanqing Liu, Yang Li, Wei-Lin Chiang, Bo Ting Geng, Inderjit S. Dhillon, Hsiang‐Fu Yu and Yaoguang Rong. Their work appears in journals such as Occupational and Environmental Medicine, Infinite Dimensional Analysis Quantum Probability and Related Topics, Journal of Alloys and Compounds, International Journal of Environmental Research and Public Health and Energy & Fuels.

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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