Yang Cai
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Aerospace Engineering
- Co-authors
- Andreas F. MolischJaime LlorcaAntonia M. TulinoYuan ShenJunbo ShiXiuxiao YuanLinjun YangTao Chen
- Topics
- IoT and Edge/Fog Computing (8 papers)Caching and Content Delivery (5 papers)Image Retrieval and Classification Techniques (4 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsHuman-Computer Interaction
- Journals
- IEEE Transactions on Signal ProcessingIEEE Transactions on CommunicationsIEEE/ACM Transactions on Networking
- Partner nations
- United StatesChinaItaly
In The Last Decade
Yang Cai
39 papers receiving 412 citations
Peers
Comparison fields: 5 of 92
- Computer Networks and Communications 139
- Computer Vision and Pattern Recognition 133
- Electrical and Electronic Engineering 63
- Artificial Intelligence 53
- Aerospace Engineering 51
Countries citing papers authored by Yang Cai
This map shows the geographic impact of Yang Cai'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 Yang Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Cai more than expected).
Fields of papers citing papers by Yang Cai
This network shows the impact of papers produced by Yang Cai. 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 Yang Cai. The network helps show where Yang Cai may publish in the future.
Co-authorship network of co-authors of Yang Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Cai. A scholar is included among the top collaborators of Yang Cai 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 Yang Cai. Yang Cai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 0 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 43 | |
| 14 | 5 | |
| 15 | 4 | |
| 16 | Empathic computing | 6 |
| 17 | Co-creation in ambient narratives, in Ambient Intelligence in Everyday Life | 1 |
| 18 | 1 | |
| 19 | 36 | |
| 20 | 1 |
About Yang Cai
Yang Cai is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Human-Computer Interaction, having authored 45 papers that have together received 429 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (8 papers), Caching and Content Delivery (5 papers) and Image Retrieval and Classification Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (133 citations), Computer Networks and Communications (139 citations) and Human-Computer Interaction (33 citations). Yang Cai has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Andreas F. Molisch, Jaime Llorca, Antonia M. Tulino, Yuan Shen, Junbo Shi, Xiuxiao Yuan, Linjun Yang, Tao Chen, Xian‐Sheng Hua and Feng Gao. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and IEEE/ACM Transactions on Networking.
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.