Yi Guo
Impact in
- Computational Mathematics top 2%
- Tensor decomposition and applications
- Media Technology top 2%
- Remote-Sensing Image Classification
- Advanced Image Fusion Techniques
Papers in
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- Face and Expression Recognition 7
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- AI in cancer detection 8
- Co-authors
- Junbin Gao (13 shared papers)Shengli Xie (4 shared papers)Ming Yin (4 shared papers)Mark Berman (9 shared papers)Heming Sun (6 shared papers)Feng Li (11 shared papers)Yuanyuan Wang (3 shared papers)Xin Lei (8 shared papers)
- Journals
- IEEE Transactions on Geoscience and Remote Sensing (3 papers)IEEE Transactions on Neural Networks and Learning Systems (3 papers)IEEE Geoscience and Remote Sensing Letters (3 papers)Medical Image Analysis (2 papers)IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2 papers)
In The Last Decade
Yi Guo
70 papers receiving 796 citations
Peers
Comparison fields: 5 of 99
- Computational Mathematics 54
- Media Technology 208
- Computer Vision and Pattern Recognition 306
- Artificial Intelligence 234
- Signal Processing 66
Countries citing papers authored by Yi Guo
This map shows the geographic impact of Yi 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 Yi Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yi Guo more than expected).
Fields of papers citing papers by Yi Guo
This network shows the impact of papers produced by Yi 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 Yi Guo. The network helps show where Yi Guo may publish in the future.
Co-authors
The 25 scholars most cited alongside Yi 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
Showing the 20 most-cited of 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 161 | |
| 2 | 2011 | 48 | |
| 3 | 2016 | 37 | |
| 4 | 2021 | 36 | |
| 5 | 2019 | 35 | |
| 6 | 2017 | 34 | |
| 7 | 2018 | 31 | |
| 8 | 2017 | 30 | |
| 9 | 2023 | 29 | |
| 10 | 2010 | 25 | |
| 11 | 2016 | 24 | |
| 12 | 2018 | 23 | |
| 13 | 2017 | 22 | |
| 14 | 2012 | 20 | |
| 15 | 2018 | 19 | |
| 16 | 2020 | 17 | |
| 17 | 2011 | 17 | |
| 18 | 2024 | 12 | |
| 19 | SPATIAL SUBSPACE CLUSTERING FOR HYPERSPECTRAL DATA SEGMENTATION | 2013 | 11 |
| 20 | 2008 | 11 |
About Yi Guo
Yi Guo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Computational Mechanics and Electrical and Electronic Engineering, having authored 75 papers that have together received 824 indexed citations. Recurring topics across this work include Remote-Sensing Image Classification (13 papers), Sparse and Compressive Sensing Techniques (10 papers), Low-power high-performance VLSI design (10 papers), AI in cancer detection (8 papers), Advanced Image Fusion Techniques (8 papers), Face and Expression Recognition (7 papers), Spectroscopy and Chemometric Analyses (6 papers) and Remote Sensing in Agriculture (6 papers). The work is most often cited by research in Computational Mathematics (54 citations), Media Technology (208 citations), Computer Vision and Pattern Recognition (306 citations), Artificial Intelligence (234 citations) and Signal Processing (66 citations). Yi Guo has collaborated with scholars based in Australia, China and Japan. Frequent co-authors include Junbin Gao, Shengli Xie, Ming Yin, Mark Berman, Heming Sun, Feng Li, Yuanyuan Wang, Xin Lei, Jing Jiao and Jiayi Li. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Geoscience and Remote Sensing Letters, Medical Image Analysis and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.