Qianyu Zhou
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Signal Processing top 10%
- Media Technology top 5%
- Radiology, Nuclear Medicine and Imaging
- Topics
- Domain Adaptation and Few-Shot Learning (10 papers)Multimodal Machine Learning Applications (8 papers)Advanced Neural Network Applications (8 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of VirologyIEEE Transactions on Image Processing
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Qianyu Zhou
35 papers receiving 805 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 522
- Artificial Intelligence 319
- Signal Processing 98
- Media Technology 61
- Radiology, Nuclear Medicine and Imaging 59
Countries citing papers authored by Qianyu Zhou
This map shows the geographic impact of Qianyu Zhou'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 Qianyu Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qianyu Zhou more than expected).
Fields of papers citing papers by Qianyu Zhou
This network shows the impact of papers produced by Qianyu Zhou. 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 Qianyu Zhou. The network helps show where Qianyu Zhou may publish in the future.
Co-authorship network of co-authors of Qianyu Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Qianyu Zhou. A scholar is included among the top collaborators of Qianyu Zhou 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 Qianyu Zhou. Qianyu Zhou 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 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 0 | |
| 10 | 5 | |
| 11 | 11 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 34 | |
| 15 | 103 | |
| 16 | 40 | |
| 17 | 131 | |
| 18 | 83 | |
| 19 | 1 | |
| 20 | Semi-Supervised Semantic Segmentation via Dynamic Self-Training and Class-Balanced Curriculum | 39 |
About Qianyu Zhou
Qianyu Zhou is a scholar working on Computer Vision and Pattern Recognition, Geology and Signal Processing, having authored 42 papers that have together received 815 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (10 papers), Multimodal Machine Learning Applications (8 papers) and Advanced Neural Network Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (522 citations), Artificial Intelligence (319 citations) and Signal Processing (98 citations). Qianyu Zhou has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Lizhuang Ma, Guangliang Cheng, Xuequan Lu, Zhengyang Feng, Qiqi Gu, Jianping Shi, Xiangtai Li, Xin Tan, Lu H and Yunhai Tong. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Virology and IEEE Transactions on Image Processing.
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.