Shubo Liu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Information Systems top 5%
- Co-authors
- Zhaohui CaiXingxing XiongGuoqing TuZhuoqing ChangJing SunJun WangDavid AhlströmTerence Tsai
- Topics
- Privacy-Preserving Technologies in Data (19 papers)Ocean Waves and Remote Sensing (11 papers)Cryptography and Data Security (10 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of ImmunologyPLoS ONE
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Shubo Liu
86 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 161
- Artificial Intelligence 431
- Computer Vision and Pattern Recognition 238
- Computer Networks and Communications 211
- Electrical and Electronic Engineering 190
- Information Systems 172
Countries citing papers authored by Shubo Liu
This map shows the geographic impact of Shubo Liu'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 Shubo Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shubo Liu more than expected).
Fields of papers citing papers by Shubo Liu
This network shows the impact of papers produced by Shubo Liu. 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 Shubo Liu. The network helps show where Shubo Liu may publish in the future.
Co-authorship network of co-authors of Shubo Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Shubo Liu. A scholar is included among the top collaborators of Shubo Liu 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 Shubo Liu. Shubo Liu 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 | 6 | |
| 3 | 7 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 24 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | A Survey of Recent Advances in Edge-Computing-Powered Artificial Intelligence of Thingsbreakdown → | 223 |
| 10 | 11 | |
| 11 | 54 | |
| 12 | 14 | |
| 13 | 4 | |
| 14 | 12 | |
| 15 | 0 | |
| 16 | 10 | |
| 17 | 23 | |
| 18 | 14 | |
| 19 | 55 | |
| 20 | 1 |
About Shubo Liu
Shubo Liu is a scholar working on Computer Science Applications, Artificial Intelligence and Oceanography, having authored 93 papers that have together received 1.4k indexed citations. Recurring topics across this work include Privacy-Preserving Technologies in Data (19 papers), Ocean Waves and Remote Sensing (11 papers) and Cryptography and Data Security (10 papers). The work is most often cited by research in Artificial Intelligence (431 citations), Computer Vision and Pattern Recognition (238 citations) and Computer Science Applications (55 citations). Shubo Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Zhaohui Cai, Xingxing Xiong, Guoqing Tu, Zhuoqing Chang, Jing Sun, Jun Wang, David Ahlström, Terence Tsai, Michael N. Young and Xinran Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and PLoS ONE.
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.