Bingyi Cao
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Aerospace Engineering
- Media Technology
- Electrical and Electronic Engineering
- Co-authors
- André AraujoJack SimTobias WeyandRaúl RojasHanwen JiangQixing HuangDaniel GöhringKaifeng Chen
- Topics
- Advanced Image and Video Retrieval Techniques (4 papers)Robotics and Sensor-Based Localization (4 papers)Multimodal Machine Learning Applications (3 papers)
- Journals
- International Journal of Morphology2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)elib (German Aerospace Center)
- Partner nations
- GermanyUnited StatesChina
In The Last Decade
Bingyi Cao
12 papers receiving 241 citations
Peers
Comparison fields: 5 of 53
- Computer Vision and Pattern Recognition 188
- Artificial Intelligence 68
- Aerospace Engineering 62
- Media Technology 15
- Electrical and Electronic Engineering 14
Countries citing papers authored by Bingyi Cao
This map shows the geographic impact of Bingyi 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 Bingyi Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bingyi Cao more than expected).
Fields of papers citing papers by Bingyi Cao
This network shows the impact of papers produced by Bingyi 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 Bingyi Cao. The network helps show where Bingyi Cao may publish in the future.
Co-authorship network of co-authors of Bingyi Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Bingyi Cao. A scholar is included among the top collaborators of Bingyi 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 Bingyi Cao. Bingyi 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 | 25 | |
| 3 | 1 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 7 | |
| 8 | 168 | |
| 9 | 3 | |
| 10 | Unifying Deep Local and Global Features for Efficient Image Search. | 5 |
| 11 | 10 | |
| 12 | DEVELOPMENT AND EVALUATION OF A CLASSROOM INTERACTION SYSTEM | 4 |
| 13 | 4 |
About Bingyi Cao
Bingyi Cao is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 13 papers that have together received 251 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (4 papers), Robotics and Sensor-Based Localization (4 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Aerospace Engineering (62 citations) and Geology (13 citations). Bingyi Cao has collaborated with scholars based in Germany, United States and China. Frequent co-authors include André Araujo, Jack Sim, Tobias Weyand, Raúl Rojas, Hanwen Jiang, Qixing Huang, Daniel Göhring, Kaifeng Chen, Qinghua Cui and Andreas Philipp. Their work appears in journals such as International Journal of Morphology, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) and elib (German Aerospace Center).
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.