Yimo Guo
Impact in
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- Image Retrieval and Classification Techniques
- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Face recognition and analysis
- Medical Image Segmentation Techniques
- Signal Processing top 10%
- Biometric Identification and Security
Papers in
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- Advanced Vision and Imaging 4
- Generative Adversarial Networks and Image Synthesis 3
- Advanced Image and Video Retrieval Techniques 3
- Face and Expression Recognition 2
- Image Retrieval and Classification Techniques 2
- Medical Image Segmentation Techniques 2
- Co-authors
- Guoying Zhao (7 shared papers)Matti Pietikäinen (6 shared papers)Zhengguang Xu (1 shared paper)Ziheng Zhou (2 shared papers)Raúl E. Sánchez-Yáñez (1 shared paper)Jie Chen (1 shared paper)Matti Pietikäinen (1 shared paper)Hao Zeng (1 shared paper)
In The Last Decade
Yimo Guo
11 papers receiving 364 citations
Peers
Comparison fields: 5 of 70
- Computer Vision and Pattern Recognition 322
- Signal Processing 65
- Experimental and Cognitive Psychology 67
- Media Technology 38
- Urban Studies 16
Countries citing papers authored by Yimo Guo
This map shows the geographic impact of Yimo Guo'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 Yimo Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yimo Guo more than expected).
Fields of papers citing papers by Yimo Guo
This network shows the impact of papers produced by Yimo Guo. 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 Yimo Guo. The network helps show where Yimo Guo may publish in the future.
Co-authors
The 24 scholars most cited alongside Yimo Guo, 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 | 2012 | 155 | |
| 2 | 2011 | 68 | |
| 3 | 2016 | 44 | |
| 4 | 2008 | 35 | |
| 5 | 2012 | 28 | |
| 6 | 2006 | 21 | |
| 7 | 2013 | 14 | |
| 8 | Image and video analysis by local descriptors and deformable image registration | 2013 | 8 |
| 9 | 2009 | 7 | |
| 10 | 2024 | 5 | |
| 11 | 2014 | 3 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2006 | 0 |
About Yimo Guo
Yimo Guo is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology, Computer Graphics and Computer-Aided Design, Molecular Biology and Urban Studies, having authored 14 papers that have together received 389 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (4 papers), Generative Adversarial Networks and Image Synthesis (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Face and Expression Recognition (2 papers), Image Retrieval and Classification Techniques (2 papers), Computer Graphics and Visualization Techniques (2 papers), Medical Image Segmentation Techniques (2 papers) and Long-Term Effects of COVID-19 (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (322 citations), Signal Processing (65 citations), Experimental and Cognitive Psychology (67 citations), Media Technology (38 citations) and Urban Studies (16 citations). Yimo Guo has collaborated with scholars based in China, Finland and Mexico. Frequent co-authors include Guoying Zhao, Matti Pietikäinen, Zhengguang Xu, Ziheng Zhou, Raúl E. Sánchez-Yáñez, Jie Chen, Matti Pietikäinen, Hao Zeng, Zhiguo Zhang and Zhangping Li. Their work appears in journals such as IEEE Transactions on Image Processing, BMC Psychiatry, BMC Cancer, Expert Systems with Applications and IEEE Transactions on Circuits and Systems for Video Technology.
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.