Juan Cao
- Computational Mechanics top 5%
- Computer Graphics and Computer-Aided Design top 2%
- Computer Vision and Pattern Recognition top 10%
- Mechanical Engineering
- Biomedical Engineering
- Topics
- Advanced Numerical Analysis Techniques (26 papers)Computer Graphics and Visualization Techniques (20 papers)3D Shape Modeling and Analysis (19 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational MechanicsComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsComputer Methods in Applied Mechanics and Engineering
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Juan Cao
61 papers receiving 437 citations
Peers
Comparison fields: 5 of 81
- Computational Mechanics 228
- Computer Graphics and Computer-Aided Design 146
- Computer Vision and Pattern Recognition 142
- Mechanical Engineering 56
- Biomedical Engineering 49
Countries citing papers authored by Juan Cao
This map shows the geographic impact of Juan 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 Juan Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Cao more than expected).
Fields of papers citing papers by Juan Cao
This network shows the impact of papers produced by Juan 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 Juan Cao. The network helps show where Juan Cao may publish in the future.
Co-authorship network of co-authors of Juan Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Juan Cao. A scholar is included among the top collaborators of Juan 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 Juan Cao. Juan 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 | 1 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 2 | |
| 9 | 22 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 8 | |
| 13 | 4 | |
| 14 | 2 | |
| 15 | 8 | |
| 16 | 11 | |
| 17 | 1 | |
| 18 | TRECVID 2009 of MCG-ICT-CAS. | 4 |
| 19 | Considerations of Applying the Maximum Power Transfer Theorem | 2 |
| 20 | 1 |
About Juan Cao
Juan Cao is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition, having authored 65 papers that have together received 453 indexed citations. Recurring topics across this work include Advanced Numerical Analysis Techniques (26 papers), Computer Graphics and Visualization Techniques (20 papers) and 3D Shape Modeling and Analysis (19 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (146 citations), Computational Mechanics (228 citations) and Computer Vision and Pattern Recognition (142 citations). Juan Cao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhonggui Chen, Guozhao Wang, Yongjie Zhang, Xiaoming Zeng, Xin Li, Ping Yuan, Yeqi Liu, Cheng Hu, Cheng Wang and Yuhua Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Computer Methods in Applied Mechanics and Engineering.
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.