Chaoyang Wang
- Computer Vision and Pattern Recognition top 10%
- Plant Science
- Media Technology top 10%
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Simon LuceyFederico PerazziOliver WangChen KongXianghua LiXin LiShiping LiuLiang Xu
- Topics
- Advanced Vision and Imaging (5 papers)Optical measurement and interference techniques (3 papers)Robotics and Sensor-Based Localization (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionMedia TechnologyComputer Graphics and Computer-Aided Design
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chaoyang Wang
17 papers receiving 209 citations
Peers
Comparison fields: 5 of 61
- Computer Vision and Pattern Recognition 127
- Plant Science 42
- Media Technology 35
- Artificial Intelligence 31
- Aerospace Engineering 30
Countries citing papers authored by Chaoyang Wang
This map shows the geographic impact of Chaoyang Wang'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 Chaoyang Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoyang Wang more than expected).
Fields of papers citing papers by Chaoyang Wang
This network shows the impact of papers produced by Chaoyang Wang. 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 Chaoyang Wang. The network helps show where Chaoyang Wang may publish in the future.
Co-authorship network of co-authors of Chaoyang Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Chaoyang Wang. A scholar is included among the top collaborators of Chaoyang Wang 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 Chaoyang Wang. Chaoyang Wang 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 | 5 | |
| 4 | 22 | |
| 5 | 10 | |
| 6 | 3 | |
| 7 | 3 | |
| 8 | 10 | |
| 9 | 9 | |
| 10 | 9 | |
| 11 | 27 | |
| 12 | 57 | |
| 13 | 14 | |
| 14 | 9 | |
| 15 | 3 | |
| 16 | 3 | |
| 17 | SANSim - A Platform for Simulation and Design of a Storage Area Network. | 2 |
| 18 | Improvement of Resistance to Rice Blast in Zhenshan 97 by Molecular Marker-aided Selection | 31 |
About Chaoyang Wang
Chaoyang Wang is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Geology, having authored 18 papers that have together received 218 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (5 papers), Optical measurement and interference techniques (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (127 citations), Media Technology (35 citations) and Computer Graphics and Computer-Aided Design (10 citations). Chaoyang Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Simon Lucey, Federico Perazzi, Oliver Wang, Chen Kong, Xianghua Li, Xin Li, Shiping Liu, Liang Xu, Chen-Hsuan Lin and Pedro Sanchez. Their work appears in journals such as IEEE Access, Medical Image Analysis and Theoretical Chemistry Accounts.
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.