Luping Zhou
- Computer Vision and Pattern Recognition top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Artificial Intelligence top 1%
- Cognitive Neuroscience top 2%
- Neurology top 1%
- Co-authors
- Lei WangDinggang ShenDaoqiang ZhangYaping WangHong YuanBiting YuYan WangHuan Wang
- Topics
- Multimodal Machine Learning Applications (26 papers)Domain Adaptation and Few-Shot Learning (22 papers)Advanced Neural Network Applications (21 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- AustraliaChinaUnited States
In The Last Decade
Luping Zhou
190 papers receiving 5.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Computer Vision and Pattern Recognition 2.0k
- Radiology, Nuclear Medicine and Imaging 1.4k
- Artificial Intelligence 1.3k
- Cognitive Neuroscience 859
- Neurology 843
Countries citing papers authored by Luping Zhou
This map shows the geographic impact of Luping 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 Luping Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luping Zhou more than expected).
Fields of papers citing papers by Luping Zhou
This network shows the impact of papers produced by Luping 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 Luping Zhou. The network helps show where Luping Zhou may publish in the future.
Co-authorship network of co-authors of Luping Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Luping Zhou. A scholar is included among the top collaborators of Luping 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 Luping Zhou. Luping 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 | 3 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 33 | |
| 6 | 0 | |
| 7 | 27 | |
| 8 | 17 | |
| 9 | 6 | |
| 10 | 8 | |
| 11 | 17 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 16 | |
| 15 | 19 | |
| 16 | 8 | |
| 17 | Modelling diffusion process by deep neural networks for image retrieval | 3 |
| 18 | 155 | |
| 19 | 56 | |
| 20 | Research and development of Multi- Agent System based agile collaborative design system for machining centre | 1 |
About Luping Zhou
Luping Zhou is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 203 papers that have together received 5.7k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (26 papers), Domain Adaptation and Few-Shot Learning (22 papers) and Advanced Neural Network Applications (21 papers). The work is most often cited by research in Neurology (843 citations), Computer Vision and Pattern Recognition (2.0k citations) and Radiology, Nuclear Medicine and Imaging (1.4k citations). Luping Zhou has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Lei Wang, Dinggang Shen, Daoqiang Zhang, Yaping Wang, Hong Yuan, Biting Yu, Yan Wang, Huan Wang, Jianjia Zhang and Xi Wu. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.
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.