Guoli Song
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- Multimodal Machine Learning Applications 10
- Advanced Image and Video Retrieval Techniques 9
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 9
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics 10
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- Complex Network Analysis Techniques 5
- Opinion Dynamics and Social Influence 4
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- Complex Systems and Time Series Analysis 5
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- Stochastic processes and statistical mechanics 5
- Co-authors
- Shuhui WangQingming HuangYiling WuQi TianGuozhu WeiYaqiu LiangJie ChenLi Ma
- Journals
- IEEE Transactions on Image Processing (3 papers)physica status solidi (b) (3 papers)IEEE Transactions on Multimedia (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Guoli Song
39 papers receiving 566 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 292
- Artificial Intelligence 219
- Condensed Matter Physics 77
- Statistical and Nonlinear Physics 37
- Health Informatics 4
Countries citing papers authored by Guoli Song
This map shows the geographic impact of Guoli Song'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 Guoli Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoli Song more than expected).
Fields of papers citing papers by Guoli Song
This network shows the impact of papers produced by Guoli Song. 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 Guoli Song. The network helps show where Guoli Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guoli Song, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 45 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 15 | |
| 7 | 2022 | 51 | |
| 8 | 2022 | 12 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 26 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 25 | |
| 14 | 2019 | 18 | |
| 15 | 2019 | 21 | |
| 16 | 2017 | 6 | |
| 17 | 2012 | 17 | |
| 18 | 2010 | 11 | |
| 19 | 2010 | 7 | |
| 20 | 2004 | 9 |
About Guoli Song
Guoli Song is a scholar working on Condensed Matter Physics, Computer Vision and Pattern Recognition and Mathematical Physics, having authored 39 papers that have together received 574 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (10 papers), Theoretical and Computational Physics (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Domain Adaptation and Few-Shot Learning (9 papers), Complex Network Analysis Techniques (5 papers), Complex Systems and Time Series Analysis (5 papers), Stochastic processes and statistical mechanics (5 papers) and Opinion Dynamics and Social Influence (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (292 citations), Artificial Intelligence (219 citations) and Condensed Matter Physics (77 citations). Guoli Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shuhui Wang, Qingming Huang, Yiling Wu, Qi Tian, Guozhu Wei, Yaqiu Liang, Jie Chen, Li Ma, Y. J. Sun and Jie Chen. Their work appears in journals such as IEEE Transactions on Image Processing, physica status solidi (b), IEEE Transactions on Multimedia, Journal of Magnetism and Magnetic Materials and IEEE Transactions on Intelligent Transportation Systems.
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.