Yufei Cao
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Topics
- IoT and Edge/Fog Computing (6 papers)Advanced Neural Network Applications (4 papers)Cloud Computing and Resource Management (4 papers)
- Cited by
- Computer Networks and CommunicationsComputer Vision and Pattern RecognitionInformation Systems
- Journals
- IEEE Transactions on Geoscience and Remote SensingIEEE AccessIEEE Transactions on Vehicular Technology
- Partner nations
- ChinaMacaoUnited States
In The Last Decade
Yufei Cao
18 papers receiving 379 citations
Hit Papers
Peers
Comparison fields: 5 of 65
- Computer Networks and Communications 226
- Electrical and Electronic Engineering 134
- Information Systems 91
- Computer Vision and Pattern Recognition 88
- Artificial Intelligence 69
Countries citing papers authored by Yufei Cao
This map shows the geographic impact of Yufei 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 Yufei Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yufei Cao more than expected).
Fields of papers citing papers by Yufei Cao
This network shows the impact of papers produced by Yufei 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 Yufei Cao. The network helps show where Yufei Cao may publish in the future.
Co-authorship network of co-authors of Yufei Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Yufei Cao. A scholar is included among the top collaborators of Yufei 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 Yufei Cao. Yufei 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 | 3 | |
| 3 | 6 | |
| 4 | 24 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 19 | |
| 9 | 1 | |
| 10 | 29 | |
| 11 | 8 | |
| 12 | Knowledge-Driven Service Offloading Decision for Vehicular Edge Computing: A Deep Reinforcement Learning Approachbreakdown → | 217 |
| 13 | 17 | |
| 14 | 5 | |
| 15 | 3 | |
| 16 | 5 | |
| 17 | 17 | |
| 18 | 6 | |
| 19 | 0 | |
| 20 | 9 |
About Yufei Cao
Yufei Cao is a scholar working on Finance, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 381 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Advanced Neural Network Applications (4 papers) and Cloud Computing and Resource Management (4 papers). The work is most often cited by research in Computer Networks and Communications (226 citations), Computer Vision and Pattern Recognition (88 citations) and Information Systems (91 citations). Yufei Cao has collaborated with scholars based in China, Macao and United States. Frequent co-authors include Qi Qi, Jingyu Wang, Jianxin Liao, Zhanyu Ma, Haifeng Sun, Guohua Geng, Jiyang Xie, Dongpu Cao, Ruoyi Du and Jun Guo. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Vehicular Technology.
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.