Zhixing Cao
- Molecular Biology top 10%
- Control and Systems Engineering top 2%
- Computational Theory and Mathematics top 2%
- Mechanical Engineering top 10%
- Pharmacology top 10%
- Topics
- Advanced Control Systems Optimization (24 papers)Iterative Learning Control Systems (21 papers)Fault Detection and Control Systems (17 papers)
- Journals
- Proceedings of the National Academy of SciencesPhysical Review LettersNucleic Acids Research
- Partner nations
- ChinaHong KongUnited Kingdom
In The Last Decade
Zhixing Cao
73 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 858
- Control and Systems Engineering 645
- Computational Theory and Mathematics 288
- Mechanical Engineering 188
- Pharmacology 141
Countries citing papers authored by Zhixing Cao
This map shows the geographic impact of Zhixing 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 Zhixing Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhixing Cao more than expected).
Fields of papers citing papers by Zhixing Cao
This network shows the impact of papers produced by Zhixing 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 Zhixing Cao. The network helps show where Zhixing Cao may publish in the future.
Co-authorship network of co-authors of Zhixing Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Zhixing Cao. A scholar is included among the top collaborators of Zhixing 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 Zhixing Cao. Zhixing 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 | 1 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 0 | |
| 6 | 16 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 32 | |
| 12 | 1 | |
| 13 | 51 | |
| 14 | 31 | |
| 15 | 5 | |
| 16 | 14 | |
| 17 | 20 | |
| 18 | 139 | |
| 19 | 27 | |
| 20 | Increased gene expression and levels of endogenous antioxidants and phase 2 enzymes in cardiac cells treated with 3H-1,2-dithiole-3- thione: protection against oxidant and electrophile-induced cell injury | 1 |
About Zhixing Cao
Zhixing Cao is a scholar working on Control and Systems Engineering, Fuel Technology and Mechanical Engineering, having authored 77 papers that have together received 2.0k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (24 papers), Iterative Learning Control Systems (21 papers) and Fault Detection and Control Systems (17 papers). The work is most often cited by research in Control and Systems Engineering (645 citations), Computational Theory and Mathematics (288 citations) and Pharmacology (117 citations). Zhixing Cao has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Ramon Grima, Furong Gao, Jingyi Lu, Ridong Zhang, Yu Chen, Qifa Liu, Lin Ye, Ruixin Zhu, Xin Liu and Huan Ye. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.
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.