Ting Cao
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 5%
- Hardware and Architecture top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Co-authors
- Stephen M. BlackburnKathryn S. McKinleyHuaijun WangJunhuai LiYunxin LiuNingxin ZhengYuqing YangKan Wang
- Topics
- Cloud Computing and Resource Management (13 papers)Parallel Computing and Optimization Techniques (12 papers)Advanced Data Storage Technologies (7 papers)
- Cited by
- Hardware and ArchitectureComputer Networks and CommunicationsComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Ting Cao
34 papers receiving 527 citations
Peers
Comparison fields: 5 of 75
- Computer Networks and Communications 237
- Computer Vision and Pattern Recognition 186
- Hardware and Architecture 180
- Electrical and Electronic Engineering 152
- Information Systems 123
Countries citing papers authored by Ting Cao
This map shows the geographic impact of Ting 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 Ting Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting Cao more than expected).
Fields of papers citing papers by Ting Cao
This network shows the impact of papers produced by Ting 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 Ting Cao. The network helps show where Ting Cao may publish in the future.
Co-authorship network of co-authors of Ting Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Ting Cao. A scholar is included among the top collaborators of Ting 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 Ting Cao. Ting 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 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 4 | |
| 8 | 6 | |
| 9 | To Bridge Neural Network Design and Real-World Performance: A Behaviour Study for Neural Networks | 8 |
| 10 | 34 | |
| 11 | 8 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 25 | |
| 15 | 34 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 16 | |
| 19 | 62 | |
| 20 | 24 |
About Ting Cao
Ting Cao is a scholar working on Hardware and Architecture, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 41 papers that have together received 547 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (13 papers), Parallel Computing and Optimization Techniques (12 papers) and Advanced Data Storage Technologies (7 papers). The work is most often cited by research in Hardware and Architecture (180 citations), Computer Networks and Communications (237 citations) and Computer Vision and Pattern Recognition (186 citations). Ting Cao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Stephen M. Blackburn, Kathryn S. McKinley, Huaijun Wang, Junhuai Li, Yunxin Liu, Ningxin Zheng, Yuqing Yang, Kan Wang, Xiao Qin and Ling Tian. Their work appears in journals such as Communications of the ACM, IEEE Access and Measurement.
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.