Si Si
Impact in
- Computational Mathematics top 5%
-
- Face and Expression Recognition
Papers in
-
- Stochastic Gradient Optimization Techniques 5
- Machine Learning and ELM 5
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- Face and Expression Recognition 10
- Co-authors
- Inderjit S. Dhillon (12 shared papers)Cho‐Jui Hsieh (13 shared papers)Dacheng Tao (6 shared papers)Bo Geng (1 shared paper)Hsiang‐Fu Yu (2 shared papers)Yaoguang Rong (1 shared paper)Huawei Liu (1 shared paper)Xiong Li (1 shared paper)
- Journals
- Infinite Dimensional Analysis Quantum Probability and Related Topics (4 papers)Occupational and Environmental Medicine (4 papers)American Journal of Industrial Medicine (2 papers)Nagoya Mathematical Journal (2 papers)PLoS ONE (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Si Si
113 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 181
- Computational Mathematics 39
- Computer Vision and Pattern Recognition 532
- Artificial Intelligence 687
- Renewable Energy, Sustainability and the Environment 291
- Environmental Chemistry 133
Countries citing papers authored by Si Si
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
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.
All Works
Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 360 | |
| 2 | 2017 | 274 | |
| 3 | 2012 | 162 | |
| 4 | 2013 | 120 | |
| 5 | 2013 | 83 | |
| 6 | 2013 | 81 | |
| 7 | 2014 | 72 | |
| 8 | Gradient boosted decision trees for high dimensional sparse output | 2017 | 71 |
| 9 | 2021 | 62 | |
| 10 | 2019 | 58 | |
| 11 | 2020 | 57 | |
| 12 | 2018 | 55 | |
| 13 | 2013 | 49 | |
| 14 | 2019 | 49 | |
| 15 | 2020 | 49 | |
| 16 | 2021 | 43 | |
| 17 | 2014 | 37 | |
| 18 | 2018 | 37 | |
| 19 | 2022 | 37 | |
| 20 | 2020 | 31 |
About Si Si
Si Si is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 120 papers that have together received 2.6k indexed citations. Recurring topics across this work include Face and Expression Recognition (10 papers), Electrocatalysts for Energy Conversion (8 papers), Stochastic processes and financial applications (8 papers), Creativity in Education and Neuroscience (8 papers), Advanced battery technologies research (7 papers), Stochastic Gradient Optimization Techniques (5 papers), Machine Learning and ELM (5 papers) and Occupational exposure and asthma (5 papers). The work is most often cited by research in Computational Mathematics (39 citations), Computer Vision and Pattern Recognition (532 citations), Artificial Intelligence (687 citations), Renewable Energy, Sustainability and the Environment (291 citations) and Environmental Chemistry (133 citations). Si Si has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Inderjit S. Dhillon, Cho‐Jui Hsieh, Dacheng Tao, Bo Geng, Hsiang‐Fu Yu, Yaoguang Rong, Huawei Liu, Xiong Li, Yue Hu and Hongwei Han. Their work appears in journals such as Infinite Dimensional Analysis Quantum Probability and Related Topics, Occupational and Environmental Medicine, American Journal of Industrial Medicine, Nagoya Mathematical Journal and PLoS ONE.
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.