Weiwei Guo
- Computational Mathematics top 1%
- Artificial Intelligence top 0.5%
- Topic Modeling 28
- Natural Language Processing Techniques 20
- Domain Adaptation and Few-Shot Learning 17
- Media Technology top 1%
- Remote-Sensing Image Classification 18
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- Advanced Neural Network Applications 12
- Aerospace Engineering top 2%
- Advanced SAR Imaging Techniques 29
- Synthetic Aperture Radar (SAR) Applications and Techniques 24
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- Transportation Planning and Optimization 12
- Co-authors
- Zenghui ZhangMona DiabWenxian YuAitor González-AgirreEneko AgirreDaniel CerBin LiuTao Zhang
- Journals
- IEEE Geoscience and Remote Sensing Letters (11 papers)IEEE Transactions on Geoscience and Remote Sensing (7 papers)Remote Sensing (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weiwei Guo
168 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computational Mathematics 94
- Artificial Intelligence 1.7k
- Media Technology 340
- Computer Vision and Pattern Recognition 790
- Aerospace Engineering 696
Countries citing papers authored by Weiwei Guo
This map shows the geographic impact of Weiwei 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 Weiwei Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weiwei Guo more than expected).
Fields of papers citing papers by Weiwei Guo
This network shows the impact of papers produced by Weiwei 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 Weiwei Guo. The network helps show where Weiwei Guo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Weiwei 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 | 2025 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 9 | |
| 5 | 2024 | 7 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 9 | |
| 8 | 2023 | 11 | |
| 9 | 2023 | 9 | |
| 10 | 2023 | 10 | |
| 11 | 2023 | 5 | |
| 12 | 2022 | 7 | |
| 13 | 2022 | 10 | |
| 14 | 2022 | 22 | |
| 15 | 2022 | 5 | |
| 16 | 2021 | 9 | |
| 17 | 2020 | 15 | |
| 18 | 2020 | 40 | |
| 19 | 2019 | 6 | |
| 20 | 2018 | 10 |
About Weiwei Guo
Weiwei Guo is a scholar working on Computational Mathematics, Artificial Intelligence, Media Technology, Transportation and Aerospace Engineering, having authored 180 papers that have together received 3.2k indexed citations. Recurring topics across this work include Advanced SAR Imaging Techniques (29 papers), Topic Modeling (28 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (24 papers), Natural Language Processing Techniques (20 papers), Remote-Sensing Image Classification (18 papers), Domain Adaptation and Few-Shot Learning (17 papers), Transportation Planning and Optimization (12 papers) and Advanced Neural Network Applications (12 papers). The work is most often cited by research in Computational Mathematics (94 citations), Artificial Intelligence (1.7k citations), Media Technology (340 citations), Computer Vision and Pattern Recognition (790 citations) and Aerospace Engineering (696 citations). Weiwei Guo has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Zenghui Zhang, Mona Diab, Wenxian Yu, Aitor González-Agirre, Eneko Agirre, Daniel Cer, Bin Liu, Tao Zhang, Boying Li and Lanqing Huang. Their work appears in journals such as IEEE Geoscience and Remote Sensing Letters, IEEE Transactions on Geoscience and Remote Sensing, Remote Sensing, Sensors 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.