Guangyao Chen
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Media Technology top 10%
- Aerospace Engineering
- Control and Systems Engineering
- Co-authors
- Yonghong TianPeixi PengXiangqian WangWen GaoYaowei WangPengcheng GaoXiao-Yong WeiXiao Wang
- Topics
- Anomaly Detection Techniques and Applications (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)Machine Learning in Materials Science (2 papers)
- Journals
- Advanced MaterialsIEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Circuits and Systems for Video Technology
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guangyao Chen
9 papers receiving 382 citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Artificial Intelligence 238
- Computer Vision and Pattern Recognition 138
- Media Technology 32
- Aerospace Engineering 26
- Control and Systems Engineering 26
Countries citing papers authored by Guangyao Chen
This map shows the geographic impact of Guangyao 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 Guangyao Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyao Chen more than expected).
Fields of papers citing papers by Guangyao Chen
This network shows the impact of papers produced by Guangyao 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 Guangyao Chen. The network helps show where Guangyao Chen may publish in the future.
Co-authorship network of co-authors of Guangyao Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Guangyao Chen. A scholar is included among the top collaborators of Guangyao Chen 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 Guangyao Chen. Guangyao Chen 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 | 6 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | Large-scale Multi-modal Pre-trained Models: A Comprehensive Surveybreakdown → | 111 |
| 8 | 1 | |
| 9 | 60 | |
| 10 | 3 | |
| 11 | Adversarial Reciprocal Points Learning for Open Set Recognitionbreakdown → | 203 |
About Guangyao Chen
Guangyao Chen is a scholar working on Structural Biology, Media Technology and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 391 indexed citations. Recurring topics across this work include Anomaly Detection Techniques and Applications (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Machine Learning in Materials Science (2 papers). The work is most often cited by research in Artificial Intelligence (238 citations), Computer Vision and Pattern Recognition (138 citations) and Media Technology (32 citations). Guangyao Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yonghong Tian, Peixi Peng, Xiangqian Wang, Wen Gao, Yaowei Wang, Pengcheng Gao, Xiao-Yong Wei, Xiao Wang, Li Ma and Li Jia. Their work appears in journals such as Advanced Materials, IEEE Transactions on Pattern Analysis and Machine Intelligence 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.