Sijiang Liu
- Mechanical Engineering
- Computer Vision and Pattern Recognition top 10%
- Control and Systems Engineering
- Biomedical Engineering
- Computer Science Applications top 10%
- Co-authors
- Juliang XiaoHaitao LiuBo JiangChuanyan HaoGuangxi LiTian HuangRui ChenShijun Ma
- Topics
- Advanced Surface Polishing Techniques (7 papers)Advanced machining processes and optimization (7 papers)Robotic Mechanisms and Dynamics (5 papers)
- Journals
- International Journal of Environmental Research and Public HealthJournal of Materials Processing TechnologyMechanical Systems and Signal Processing
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Sijiang Liu
25 papers receiving 265 citations
Peers
Comparison fields: 5 of 56
- Mechanical Engineering 88
- Computer Vision and Pattern Recognition 81
- Control and Systems Engineering 61
- Biomedical Engineering 50
- Computer Science Applications 45
Countries citing papers authored by Sijiang Liu
This map shows the geographic impact of Sijiang 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 Sijiang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sijiang Liu more than expected).
Fields of papers citing papers by Sijiang Liu
This network shows the impact of papers produced by Sijiang 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 Sijiang Liu. The network helps show where Sijiang Liu may publish in the future.
Co-authorship network of co-authors of Sijiang Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Sijiang Liu. A scholar is included among the top collaborators of Sijiang 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 Sijiang Liu. Sijiang 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 | 5 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 18 | |
| 6 | 7 | |
| 7 | 16 | |
| 8 | 3 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 16 | |
| 12 | 29 | |
| 13 | 6 | |
| 14 | 3 | |
| 15 | 51 | |
| 16 | 6 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 9 | |
| 20 | 0 |
About Sijiang Liu
Sijiang Liu is a scholar working on Computer Vision and Pattern Recognition, Urban Studies and Industrial and Manufacturing Engineering, having authored 28 papers that have together received 277 indexed citations. Recurring topics across this work include Advanced Surface Polishing Techniques (7 papers), Advanced machining processes and optimization (7 papers) and Robotic Mechanisms and Dynamics (5 papers). The work is most often cited by research in Computer Science Applications (45 citations), Industrial and Manufacturing Engineering (45 citations) and Media Technology (38 citations). Sijiang Liu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Juliang Xiao, Haitao Liu, Bo Jiang, Chuanyan Hao, Guangxi Li, Tian Huang, Rui Chen, Shijun Ma, Xinya Li and Yunpeng Wang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Journal of Materials Processing Technology and Mechanical Systems and Signal Processing.
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.