Yong Guo
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 5%
- Media Technology top 2%
- Automotive Engineering
- Immunology
- Co-authors
- Mingkui TanJian ChenQi ChenJunzhou HuangJinhui ZhuQingyao WuBohan ZhuangZhuangwei Zhuang
- Topics
- Advanced Neural Network Applications (12 papers)Domain Adaptation and Few-Shot Learning (9 papers)Adversarial Robustness in Machine Learning (5 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Image ProcessingVaccine
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yong Guo
39 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Computer Vision and Pattern Recognition 729
- Artificial Intelligence 400
- Media Technology 204
- Automotive Engineering 49
- Immunology 46
Countries citing papers authored by Yong Guo
This map shows the geographic impact of Yong 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 Yong Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yong Guo more than expected).
Fields of papers citing papers by Yong Guo
This network shows the impact of papers produced by Yong 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 Yong Guo. The network helps show where Yong Guo may publish in the future.
Co-authorship network of co-authors of Yong Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Yong Guo. A scholar is included among the top collaborators of Yong Guo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yong Guo. Yong Guo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | DriveGPT4: Interpretable End-to-End Autonomous Driving Via Large Language Modelbreakdown → | 137 |
| 3 | 4 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | 6 | |
| 9 | 14 | |
| 10 | 10 | |
| 11 | 31 | |
| 12 | 11 | |
| 13 | 56 | |
| 14 | Adversarial Learning with Local Coordinate Coding | 7 |
| 15 | Discrimination-aware channel pruning for deep neural networks | 209 |
| 16 | 2 | |
| 17 | 2 | |
| 18 | Artificial Neural Network Model in Project Risk Analysis | 3 |
| 19 | 25 | |
| 20 | Research progress of DNA vaccine | 1 |
About Yong Guo
Yong Guo is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Artificial Intelligence, having authored 43 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (9 papers) and Adversarial Robustness in Machine Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (729 citations), Computational Mathematics (15 citations) and Media Technology (204 citations). Yong Guo has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Mingkui Tan, Jian Chen, Qi Chen, Junzhou Huang, Jinhui Zhu, Qingyao Wu, Bohan Zhuang, Zhuangwei Zhuang, Jiezhang Cao and Jingdong Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and Vaccine.
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.