Shu Cai
- Artificial Intelligence top 1%
- Electrical and Electronic Engineering
- Aerospace Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Co-authors
- Kevin KnightClaire BonialPhilipp KoehnUlf HermjakobKira GriffittMartha PalmerNathan SchneiderGang Wang
- Topics
- Cooperative Communication and Network Coding (11 papers)Advanced MIMO Systems Optimization (11 papers)Direction-of-Arrival Estimation Techniques (10 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shu Cai
36 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 64
- Artificial Intelligence 957
- Electrical and Electronic Engineering 249
- Aerospace Engineering 133
- Computer Vision and Pattern Recognition 132
- Computer Networks and Communications 95
Countries citing papers authored by Shu Cai
This map shows the geographic impact of Shu 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 Shu Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shu Cai more than expected).
Fields of papers citing papers by Shu Cai
This network shows the impact of papers produced by Shu 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 Shu Cai. The network helps show where Shu Cai may publish in the future.
Co-authorship network of co-authors of Shu Cai
This figure shows the co-authorship network connecting the top 25 collaborators of Shu Cai. A scholar is included among the top collaborators of Shu 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 Shu Cai. Shu 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 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 56 | |
| 12 | 4 | |
| 13 | 1 | |
| 14 | 11 | |
| 15 | 9 | |
| 16 | 69 | |
| 17 | Abstract Meaning Representation for Sembankingbreakdown → | 640 |
| 18 | Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse | 86 |
| 19 | Smatch: an Evaluation Metric for Semantic Feature Structures | 165 |
| 20 | Language-Independent Parsing with Empty Elements | 37 |
About Shu Cai
Shu Cai is a scholar working on Signal Processing, Computer Networks and Communications and Aerospace Engineering, having authored 43 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (11 papers), Advanced MIMO Systems Optimization (11 papers) and Direction-of-Arrival Estimation Techniques (10 papers). The work is most often cited by research in Artificial Intelligence (957 citations), Signal Processing (82 citations) and Computer Vision and Pattern Recognition (132 citations). Shu Cai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Kevin Knight, Claire Bonial, Philipp Koehn, Ulf Hermjakob, Kira Griffitt, Martha Palmer, Nathan Schneider, Gang Wang, Youming Li and Tsung‐Hui Chang. Their work appears in journals such as IEEE Transactions on Signal Processing, IEEE Access and Sensors.
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.