Ruiyu Li
- Computer Vision and Pattern Recognition top 1%
- Artificial Intelligence top 2%
- Media Technology top 1%
- Radiology, Nuclear Medicine and Imaging
- Industrial and Manufacturing Engineering top 10%
- Co-authors
- Jiaya JiaMichelle ShuZhuotao TianXiaoyong ShenHengshuang ZhaoZhicheng YangRenjie LiaoXin Tao
- Topics
- Multimodal Machine Learning Applications (8 papers)Domain Adaptation and Few-Shot Learning (8 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceApplied Thermal EngineeringIEEE Transactions on Neural Networks and Learning Systems
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ruiyu Li
18 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 1.1k
- Artificial Intelligence 592
- Media Technology 263
- Radiology, Nuclear Medicine and Imaging 70
- Industrial and Manufacturing Engineering 41
Countries citing papers authored by Ruiyu Li
This map shows the geographic impact of Ruiyu Li'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 Ruiyu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruiyu Li more than expected).
Fields of papers citing papers by Ruiyu Li
This network shows the impact of papers produced by Ruiyu Li. 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 Ruiyu Li. The network helps show where Ruiyu Li may publish in the future.
Co-authorship network of co-authors of Ruiyu Li
This figure shows the co-authorship network connecting the top 25 collaborators of Ruiyu Li. A scholar is included among the top collaborators of Ruiyu Li 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 Ruiyu Li. Ruiyu Li 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 | 4 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 77 | |
| 9 | 34 | |
| 10 | Prior Guided Feature Enrichment Network for Few-Shot Segmentationbreakdown → | 343 |
| 11 | 59 | |
| 12 | 77 | |
| 13 | 157 | |
| 14 | 43 | |
| 15 | 154 | |
| 16 | 26 | |
| 17 | 70 | |
| 18 | Visual Question Answering with Question Representation Update (QRU) | 46 |
| 19 | 177 |
About Ruiyu Li
Ruiyu Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.1k citations), Media Technology (263 citations) and Artificial Intelligence (592 citations). Ruiyu Li has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Jiaya Jia, Michelle Shu, Zhuotao Tian, Xiaoyong Shen, Hengshuang Zhao, Zhicheng Yang, Renjie Liao, Xin Tao, Ziyang Ma and Xiaojuan Qi. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Applied Thermal Engineering and IEEE Transactions on Neural Networks and Learning Systems.
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.