Chengtai Cao
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications
- Information Systems
- Statistical and Nonlinear Physics
- Topics
- Advanced Graph Neural Networks (4 papers)Domain Adaptation and Few-Shot Learning (4 papers)Anomaly Detection Techniques and Applications (3 papers)
- Journals
- Expert Systems with ApplicationsACM Computing SurveysProceedings of the AAAI Conference on Artificial Intelligence
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Chengtai Cao
9 papers receiving 253 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 208
- Computer Vision and Pattern Recognition 66
- Computer Networks and Communications 29
- Information Systems 25
- Statistical and Nonlinear Physics 23
Countries citing papers authored by Chengtai Cao
This map shows the geographic impact of Chengtai 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 Chengtai Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chengtai Cao more than expected).
Fields of papers citing papers by Chengtai Cao
This network shows the impact of papers produced by Chengtai 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 Chengtai Cao. The network helps show where Chengtai Cao may publish in the future.
Co-authorship network of co-authors of Chengtai Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Chengtai Cao. A scholar is included among the top collaborators of Chengtai 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 Chengtai Cao. Chengtai 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 | 3 | |
| 2 | 2 | |
| 3 | 7 | |
| 4 | 8 | |
| 5 | 64 | |
| 6 | 14 | |
| 7 | 22 | |
| 8 | Continual Graph Learning. | 3 |
| 9 | 132 |
About Chengtai Cao
Chengtai Cao is a scholar working on Artificial Intelligence, Signal Processing and Transportation, having authored 9 papers that have together received 255 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (4 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Anomaly Detection Techniques and Applications (3 papers). The work is most often cited by research in Artificial Intelligence (208 citations), Computer Vision and Pattern Recognition (66 citations) and Transportation (16 citations). Chengtai Cao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fan Zhou, Geng Ji, Ting Zhong, Kunpeng Zhang, Goce Trajcevski, Jin Wu, Jianping Wang, Xovee Xu, Rui Tan and Yung‐Hui Li. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys and Proceedings of the AAAI Conference on Artificial Intelligence.
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.