Guo Chen
Impact in
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- Multimodal Machine Learning Applications
- Human Pose and Action Recognition
- Oceanography top 10%
- Geophysics and Gravity Measurements
Papers in
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- Human Pose and Action Recognition 4
- Multimodal Machine Learning Applications 4
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- Adaptive Control of Nonlinear Systems 4
- Advanced Algorithms and Applications 3
- Co-authors
- Tong Lü (3 shared papers)Lewei Lu (1 shared paper)Jiannan Wu (1 shared paper)Yu Qiao (1 shared paper)Yifeng Dai (1 shared paper)Qile Zhao (4 shared papers)Ping Luo (1 shared paper)Wenhai Wang (1 shared paper)
In The Last Decade
Guo Chen
26 papers receiving 541 citations
Guo Chen's Hit Papers
Peers
Comparison fields: 5 of 88
- Computer Vision and Pattern Recognition 192
- Oceanography 61
- Aerospace Engineering 109
- Artificial Intelligence 131
- Control and Systems Engineering 60
Countries citing papers authored by Guo Chen
This map shows the geographic impact of Guo Chen'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 Guo Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guo Chen more than expected).
Fields of papers citing papers by Guo Chen
This network shows the impact of papers produced by Guo Chen. 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 Guo Chen. The network helps show where Guo Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Guo Chen, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks Hit paper breakdown → | 2024 | 267 |
| 2 | 2021 | 95 | |
| 3 | 2022 | 54 | |
| 4 | 2022 | 25 | |
| 5 | 2023 | 16 | |
| 6 | 2024 | 16 | |
| 7 | 2007 | 13 | |
| 8 | 2021 | 9 | |
| 9 | 2010 | 7 | |
| 10 | 2017 | 6 | |
| 11 | 2021 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2019 | 5 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2006 | 3 | |
| 18 | 2023 | 2 | |
| 19 | Towards Scalability Issue in Ontology-based Context-aware Systems | 2012 | 2 |
| 20 | 2021 | 2 |
About Guo Chen
Guo Chen is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Signal Processing, Aerospace Engineering and Oceanography, having authored 27 papers that have together received 553 indexed citations. Recurring topics across this work include GNSS positioning and interference (5 papers), Human Pose and Action Recognition (4 papers), Multimodal Machine Learning Applications (4 papers), Adaptive Control of Nonlinear Systems (4 papers), Advanced Algorithms and Applications (3 papers), Ionosphere and magnetosphere dynamics (3 papers), Speech and Audio Processing (3 papers) and Geophysics and Gravity Measurements (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (192 citations), Oceanography (61 citations), Aerospace Engineering (109 citations), Artificial Intelligence (131 citations) and Control and Systems Engineering (60 citations). Guo Chen has collaborated with scholars based in China, Canada and Hong Kong. Frequent co-authors include Tong Lü, Lewei Lu, Jiannan Wu, Yu Qiao, Yifeng Dai, Qile Zhao, Ping Luo, Wenhai Wang, Sen Xing and Zhe Chen. Their work appears in journals such as GPS Solutions, Geophysical Journal International, Ocean Engineering, Pattern Recognition Letters and Advances in Space Research.
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.