Yang Cao
- Artificial Intelligence top 2%
- Computer Networks and Communications top 2%
- Information Systems top 1%
- Signal Processing top 2%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Jinjun ChenXingjuan CaiZhihua CuiFei XueWensheng ZhangGai‐Ge WangShiqiang ZhangXianghua Xu
- Topics
- Traffic Prediction and Management Techniques (8 papers)Human Mobility and Location-Based Analysis (7 papers)Privacy-Preserving Technologies in Data (7 papers)
- Partner nations
- ChinaAustraliaSouth Korea
In The Last Decade
Yang Cao
57 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Artificial Intelligence 814
- Computer Networks and Communications 780
- Information Systems 692
- Signal Processing 387
- Computer Vision and Pattern Recognition 370
Countries citing papers authored by Yang Cao
This map shows the geographic impact of Yang 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 Yang Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Cao more than expected).
Fields of papers citing papers by Yang Cao
This network shows the impact of papers produced by Yang 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 Yang Cao. The network helps show where Yang Cao may publish in the future.
Co-authorship network of co-authors of Yang Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Yang Cao. A scholar is included among the top collaborators of Yang 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 Yang Cao. Yang 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 1 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 20 | |
| 11 | 107 | |
| 12 | Personalized Recommendation System Based on Collaborative Filtering for IoT Scenariosbreakdown → | 371 |
| 13 | A Hybrid BlockChain-Based Identity Authentication Scheme for Multi-WSNbreakdown → | 392 |
| 14 | 9 | |
| 15 | 193 | |
| 16 | A RCS prediction method for multipath effect of the ground plane | 1 |
| 17 | Forecasting network security threat situation based on ARIMA model | 0 |
| 18 | Three-dimensional spatial-temporal dimension-reduced adaptive processing for airborne radar | 1 |
| 19 | Critical Node Density Thresholds for Collaborative Detection in Large Scale WSN | 1 |
| 20 | 3 |
About Yang Cao
Yang Cao is a scholar working on Signal Processing, Transportation and Computer Networks and Communications, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Traffic Prediction and Management Techniques (8 papers), Human Mobility and Location-Based Analysis (7 papers) and Privacy-Preserving Technologies in Data (7 papers). The work is most often cited by research in Signal Processing (387 citations), Computer Networks and Communications (780 citations) and Information Systems (692 citations). Yang Cao has collaborated with scholars based in China, Australia and South Korea. Frequent co-authors include Jinjun Chen, Xingjuan Cai, Zhihua Cui, Fei Xue, Wensheng Zhang, Gai‐Ge Wang, Shiqiang Zhang, Xianghua Xu, Wensheng Zhang and Jianghui Cai. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.
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.