Wuyang Li
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Water Science and Technology top 5%
- Mechanics of Materials top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Co-authors
- Yixuan YuanXinyu LiuLejin XuJun YangYujia YangShuang SongWeijie FanZengguang Sui
- Topics
- Domain Adaptation and Few-Shot Learning (12 papers)Advanced Neural Network Applications (9 papers)Hydrocarbon exploration and reservoir analysis (8 papers)
- Cited by
- Computer Vision and Pattern RecognitionWater Science and TechnologyRenewable Energy, Sustainability and the Environment
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceThe Science of The Total EnvironmentApplied Catalysis B: Environmental
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Wuyang Li
39 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Computer Vision and Pattern Recognition 317
- Artificial Intelligence 282
- Water Science and Technology 204
- Mechanics of Materials 181
- Renewable Energy, Sustainability and the Environment 170
Countries citing papers authored by Wuyang Li
This map shows the geographic impact of Wuyang 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 Wuyang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuyang Li more than expected).
Fields of papers citing papers by Wuyang Li
This network shows the impact of papers produced by Wuyang 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 Wuyang Li. The network helps show where Wuyang Li may publish in the future.
Co-authorship network of co-authors of Wuyang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Wuyang Li. A scholar is included among the top collaborators of Wuyang 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 Wuyang Li. Wuyang 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 | 0 | |
| 4 | 29 | |
| 5 | 1 | |
| 6 | 22 | |
| 7 | 21 | |
| 8 | 13 | |
| 9 | 7 | |
| 10 | 30 | |
| 11 | 3 | |
| 12 | Joint Polyp Detection and Segmentation with Heterogeneous Endoscopic Data. | 4 |
| 13 | 22 | |
| 14 | 12 | |
| 15 | 1 | |
| 16 | 8 | |
| 17 | 11 | |
| 18 | 47 | |
| 19 | 84 | |
| 20 | 104 |
About Wuyang Li
Wuyang Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Ocean Engineering, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (12 papers), Advanced Neural Network Applications (9 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (317 citations), Water Science and Technology (204 citations) and Renewable Energy, Sustainability and the Environment (170 citations). Wuyang Li has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Yixuan Yuan, Xinyu Liu, Lejin Xu, Jun Yang, Yujia Yang, Shuang Song, Weijie Fan, Zengguang Sui, Yiwen Ju and Hongjian Zhu. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The Science of The Total Environment and Applied Catalysis B: Environmental.
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.