Xu Cao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Automotive Engineering top 10%
- Computational Mechanics top 10%
- Co-authors
- Wenqian YeYunsheng MaZiran WangYuliang XiuMichael J. BlackJinlong YangDimitrios TzionasCan Cui
- Topics
- Advanced Neural Network Applications (10 papers)Plasma Applications and Diagnostics (5 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignAutomotive Engineering
- Journals
- The Science of The Total EnvironmentRemote SensingIEEE Transactions on Industrial Informatics
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xu Cao
55 papers receiving 576 citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 207
- Artificial Intelligence 114
- Electrical and Electronic Engineering 79
- Automotive Engineering 76
- Computational Mechanics 68
Countries citing papers authored by Xu Cao
This map shows the geographic impact of Xu Cao'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 Xu Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu Cao more than expected).
Fields of papers citing papers by Xu Cao
This network shows the impact of papers produced by Xu Cao. 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 Xu Cao. The network helps show where Xu Cao may publish in the future.
Co-authorship network of co-authors of Xu Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Xu Cao. A scholar is included among the top collaborators of Xu Cao 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 Xu Cao. Xu Cao 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 | 0 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 16 | |
| 7 | 9 | |
| 8 | 24 | |
| 9 | 2 | |
| 10 | ECON: Explicit Clothed humans Optimized via Normal integrationbreakdown → | 91 |
| 11 | 9 | |
| 12 | 7 | |
| 13 | 13 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | 19 | |
| 17 | 9 | |
| 18 | 5 | |
| 19 | 14 | |
| 20 | 8 |
About Xu Cao
Xu Cao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 59 papers that have together received 591 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (10 papers), Plasma Applications and Diagnostics (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (207 citations), Computer Graphics and Computer-Aided Design (30 citations) and Automotive Engineering (76 citations). Xu Cao has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Wenqian Ye, Yunsheng Ma, Ziran Wang, Yuliang Xiu, Michael J. Black, Jinlong Yang, Dimitrios Tzionas, Can Cui, Can Cui and Huiqi Hou. Their work appears in journals such as The Science of The Total Environment, Remote Sensing and IEEE Transactions on Industrial Informatics.
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.