Sicong Liu
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Electrical and Electronic Engineering
- Signal Processing
- Co-authors
- Junzhao DuZimu ZhouYingyan LinHui LiuXin WangLongfei ShangguanJun HanZhangyang Wang
- Topics
- Advanced Neural Network Applications (5 papers)IoT and Edge/Fog Computing (3 papers)Advanced Image and Video Retrieval Techniques (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Networks and CommunicationsArtificial Intelligence
- Journals
- IEEE Sensors JournalIEEE Transactions on Mobile ComputingIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Sicong Liu
15 papers receiving 295 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 167
- Computer Networks and Communications 108
- Artificial Intelligence 90
- Electrical and Electronic Engineering 69
- Signal Processing 25
Countries citing papers authored by Sicong Liu
This map shows the geographic impact of Sicong 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 Sicong Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sicong Liu more than expected).
Fields of papers citing papers by Sicong Liu
This network shows the impact of papers produced by Sicong 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 Sicong Liu. The network helps show where Sicong Liu may publish in the future.
Co-authorship network of co-authors of Sicong Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Sicong Liu. A scholar is included among the top collaborators of Sicong 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 Sicong Liu. Sicong 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 | 3 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 24 | |
| 9 | 13 | |
| 10 | 37 | |
| 11 | 153 | |
| 12 | 5 | |
| 13 | 44 | |
| 14 | 3 | |
| 15 | 5 | |
| 16 | 5 | |
| 17 | 2 |
About Sicong Liu
Sicong Liu is a scholar working on Computer Vision and Pattern Recognition, Process Chemistry and Technology and Computer Networks and Communications, having authored 17 papers that have together received 299 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (5 papers), IoT and Edge/Fog Computing (3 papers) and Advanced Image and Video Retrieval Techniques (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Computer Networks and Communications (108 citations) and Artificial Intelligence (90 citations). Sicong Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Junzhao Du, Zimu Zhou, Yingyan Lin, Hui Liu, Xin Wang, Longfei Shangguan, Jun Han, Zhangyang Wang, Hongming Zhu and Qin Liu. Their work appears in journals such as IEEE Sensors Journal, IEEE Transactions on Mobile Computing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
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.