Ruihuang Li
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Media Technology top 5%
- Aerospace Engineering
- Computational Mechanics top 10%
- Co-authors
- Chenhang HeShuai LiLei ZhangQinghua HuChangqing ZhangYabin ZhangMinghan LiKui Jia
- Topics
- Advanced Neural Network Applications (7 papers)Domain Adaptation and Few-Shot Learning (6 papers)Advanced Image and Video Retrieval Techniques (4 papers)
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Neural Networks and Learning Systems2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Ruihuang Li
15 papers receiving 770 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Vision and Pattern Recognition 613
- Artificial Intelligence 307
- Media Technology 96
- Aerospace Engineering 79
- Computational Mechanics 70
Countries citing papers authored by Ruihuang Li
This map shows the geographic impact of Ruihuang 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 Ruihuang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruihuang Li more than expected).
Fields of papers citing papers by Ruihuang Li
This network shows the impact of papers produced by Ruihuang 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 Ruihuang Li. The network helps show where Ruihuang Li may publish in the future.
Co-authorship network of co-authors of Ruihuang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Ruihuang Li. A scholar is included among the top collaborators of Ruihuang 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 Ruihuang Li. Ruihuang 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 | 1 | |
| 3 | 2 | |
| 4 | 11 | |
| 5 | 9 | |
| 6 | 18 | |
| 7 | 17 | |
| 8 | 22 | |
| 9 | 85 | |
| 10 | Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Cloudsbreakdown → | 140 |
| 11 | 72 | |
| 12 | 124 | |
| 13 | 35 | |
| 14 | 30 | |
| 15 | 106 | |
| 16 | 105 |
About Ruihuang Li
Ruihuang Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Artificial Intelligence, having authored 16 papers that have together received 777 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (6 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (613 citations), Computational Mathematics (12 citations) and Media Technology (96 citations). Ruihuang Li has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Chenhang He, Shuai Li, Lei Zhang, Qinghua Hu, Lei Zhang, Changqing Zhang, Yabin Zhang, Minghan Li, Kui Jia and Zheng Wang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.