Ruizhe Cai
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Atomic and Molecular Physics, and Optics
- Condensed Matter Physics
- Co-authors
- Yanzhi WangAo RenCaiwen DingBo YuanOlivia ChenNobuyuki YoshikawaXuehai QianNing Liu
- Topics
- Advanced Memory and Neural Computing (6 papers)Ferroelectric and Negative Capacitance Devices (4 papers)Semiconductor materials and devices (4 papers)
- Journals
- Scientific ReportsIEEE Transactions on Computer-Aided Design of Integrated Circuits and SystemsACM SIGPLAN Notices
- Partner nations
- United StatesJapan
In The Last Decade
Ruizhe Cai
14 papers receiving 258 citations
Peers
Comparison fields: 5 of 44
- Electrical and Electronic Engineering 173
- Artificial Intelligence 108
- Computer Networks and Communications 64
- Atomic and Molecular Physics, and Optics 54
- Condensed Matter Physics 34
Countries citing papers authored by Ruizhe Cai
This map shows the geographic impact of Ruizhe 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 Ruizhe Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruizhe Cai more than expected).
Fields of papers citing papers by Ruizhe Cai
This network shows the impact of papers produced by Ruizhe 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 Ruizhe Cai. The network helps show where Ruizhe Cai may publish in the future.
Co-authorship network of co-authors of Ruizhe Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Ruizhe Cai. A scholar is included among the top collaborators of Ruizhe 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 Ruizhe Cai. Ruizhe 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 | Emerging opportunities in machine learning hardware acceleration: from advanced neural networks implementation to ultra-efficient deep learning framework using next generation technology. | 1 |
| 2 | 35 | |
| 3 | 22 | |
| 4 | 18 | |
| 5 | 5 | |
| 6 | 67 | |
| 7 | 27 | |
| 8 | 36 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 22 | |
| 13 | 6 | |
| 14 | 10 |
About Ruizhe Cai
Ruizhe Cai is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 14 papers that have together received 261 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Ferroelectric and Negative Capacitance Devices (4 papers) and Semiconductor materials and devices (4 papers). The work is most often cited by research in Artificial Intelligence (108 citations), Electrical and Electronic Engineering (173 citations) and Condensed Matter Physics (34 citations). Ruizhe Cai has collaborated with scholars based in United States and Japan. Frequent co-authors include Yanzhi Wang, Ao Ren, Caiwen Ding, Bo Yuan, Olivia Chen, Nobuyuki Yoshikawa, Xuehai Qian, Ning Liu, Qinru Qiu and Zhe Li. Their work appears in journals such as Scientific Reports, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems and ACM SIGPLAN Notices.
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.