Guoxian Song
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- Computer Graphics and Visualization Techniques 8
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- Generative Adversarial Networks and Image Synthesis 7
- Face recognition and analysis 7
- Advanced Vision and Imaging 6
- Face and Expression Recognition 2
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- 3D Shape Modeling and Analysis 7
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- Emotion and Mood Recognition 2
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- Innovations in Concrete and Construction Materials 2
- Co-authors
- Tat‐Jen ChamLinjie LuoJuyong ZhangJianfei CaiChuanxia ZhengYijiang HuangYichun ShiJing Liu
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionHuman-Computer Interaction
In The Last Decade
Guoxian Song
19 papers receiving 254 citations
Peers
Comparison fields: 5 of 56
- Computer Graphics and Computer-Aided Design 53
- Computer Vision and Pattern Recognition 174
- Human-Computer Interaction 20
- Automotive Engineering 42
- Computational Mechanics 63
Countries citing papers authored by Guoxian Song
This map shows the geographic impact of Guoxian 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 Guoxian Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guoxian Song more than expected).
Fields of papers citing papers by Guoxian Song
This network shows the impact of papers produced by Guoxian 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 Guoxian Song. The network helps show where Guoxian Song may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Guoxian 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 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 8 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 3 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 12 | |
| 10 | 2023 | 11 | |
| 11 | 2023 | 30 | |
| 12 | 2023 | 10 | |
| 13 | 2022 | 5 | |
| 14 | 2021 | 1 | |
| 15 | 2021 | 54 | |
| 16 | 2021 | 9 | |
| 17 | 2021 | 19 | |
| 18 | 2020 | 4 | |
| 19 | 2019 | 14 | |
| 20 | 2016 | 62 |
About Guoxian Song
Guoxian Song is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Computational Mechanics, Geology and Experimental and Cognitive Psychology, having authored 21 papers that have together received 261 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (8 papers), Generative Adversarial Networks and Image Synthesis (7 papers), Face recognition and analysis (7 papers), 3D Shape Modeling and Analysis (7 papers), Advanced Vision and Imaging (6 papers), Emotion and Mood Recognition (2 papers), Innovations in Concrete and Construction Materials (2 papers) and Face and Expression Recognition (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (53 citations), Computer Vision and Pattern Recognition (174 citations), Human-Computer Interaction (20 citations), Automotive Engineering (42 citations) and Computational Mechanics (63 citations). Guoxian Song has collaborated with scholars based in Singapore, Australia and China. Frequent co-authors include Tat‐Jen Cham, Linjie Luo, Juyong Zhang, Jianfei Cai, Chuanxia Zheng, Yijiang Huang, Yichun Shi, Jing Liu, Yu Lei and Ligang Liu. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Image and Vision Computing.
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.