Shuxiang Song
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- Video Surveillance and Tracking Methods 10
- Advanced Image and Video Retrieval Techniques 9
- Face and Expression Recognition 8
- Artificial Intelligence top 5%
- Quantum Computing Algorithms and Architecture 10
- Quantum Information and Cryptography 9
- Bioengineering top 10%
- Ophthalmology top 10%
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- Analog and Mixed-Signal Circuit Design 12
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- Radio Frequency Integrated Circuit Design 11
- Advancements in PLL and VCO Technologies 8
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceComputational Theory and Mathematics
- Journals
- IEEE Transactions on Circuits and Systems for Video Technology (6 papers)IEEE Access (5 papers)Applied Intelligence (4 papers)
- Partner nations
- ChinaAustraliaMontenegro
In The Last Decade
Shuxiang Song
97 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 87
- Computer Vision and Pattern Recognition 410
- Artificial Intelligence 351
- Computational Theory and Mathematics 138
- Bioengineering 36
- Ophthalmology 52
Countries citing papers authored by Shuxiang Song
This map shows the geographic impact of Shuxiang 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 Shuxiang Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuxiang Song more than expected).
Fields of papers citing papers by Shuxiang Song
This network shows the impact of papers produced by Shuxiang 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 Shuxiang Song. The network helps show where Shuxiang Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuxiang 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 8 | |
| 7 | 2024 | 5 | |
| 8 | 2024 | 2 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 2 | |
| 12 | 2024 | 3 | |
| 13 | 2024 | 2 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 0 | |
| 16 | 2022 | 1 | |
| 17 | 2018 | 10 | |
| 18 | 2018 | 37 | |
| 19 | 2015 | 18 | |
| 20 | 2012 | 1 |
About Shuxiang Song
Shuxiang Song is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Artificial Intelligence, having authored 108 papers that have together received 1.1k indexed citations. Recurring topics across this work include Analog and Mixed-Signal Circuit Design (12 papers), Radio Frequency Integrated Circuit Design (11 papers), Quantum Computing Algorithms and Architecture (10 papers), Video Surveillance and Tracking Methods (10 papers), Advanced Image and Video Retrieval Techniques (9 papers), Quantum Information and Cryptography (9 papers), Advancements in PLL and VCO Technologies (8 papers) and Face and Expression Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (410 citations), Artificial Intelligence (351 citations) and Computational Theory and Mathematics (138 citations). Shuxiang Song has collaborated with scholars based in China, Australia and Montenegro. Frequent co-authors include Haiying Xia, Hai-Sheng Li, Ping Fan, Huiling Peng, Beibei He, Changrong Xia, Ling Zhao, Yunqi Liu, Yuling Luo and Junxiu Liu. Their work appears in journals such as IEEE Transactions on Circuits and Systems for Video Technology, IEEE Access, Applied Intelligence, Optik and Sensors and Actuators B Chemical.
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.