Xiaoyan Liu
- Mechanical Engineering top 10%
- Computational Mechanics top 5%
- Civil and Structural Engineering top 10%
- Computer Vision and Pattern Recognition top 10%
- Industrial and Manufacturing Engineering top 5%
- Co-authors
- Hu ZhouFabian HerzChaoyu ZhangLulu LiuAnand J. PuppalaEckehard SpechtGuojun CaiSongyu Liu
- Topics
- Mineral Processing and Grinding (16 papers)Granular flow and fluidized beds (8 papers)Iron and Steelmaking Processes (6 papers)
- Cited by
- Industrial and Manufacturing EngineeringComputational MechanicsCivil and Structural Engineering
- Journals
- Journal of Cleaner ProductionJournal of Computational PhysicsIEEE Transactions on Biomedical Engineering
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Xiaoyan Liu
81 papers receiving 816 citations
Peers
Comparison fields: 5 of 107
- Mechanical Engineering 240
- Computational Mechanics 170
- Civil and Structural Engineering 153
- Computer Vision and Pattern Recognition 124
- Industrial and Manufacturing Engineering 90
Countries citing papers authored by Xiaoyan Liu
This map shows the geographic impact of Xiaoyan 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 Xiaoyan Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyan Liu more than expected).
Fields of papers citing papers by Xiaoyan Liu
This network shows the impact of papers produced by Xiaoyan 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 Xiaoyan Liu. The network helps show where Xiaoyan Liu may publish in the future.
Co-authorship network of co-authors of Xiaoyan Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyan Liu. A scholar is included among the top collaborators of Xiaoyan 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 Xiaoyan Liu. Xiaoyan 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 | 4 | |
| 2 | 8 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 19 | |
| 13 | 2 | |
| 14 | 10 | |
| 15 | Research progress and application of foam concrete | 8 |
| 16 | 1 | |
| 17 | Intelligent predictive control strategy applied to sintering temperature in rotary kiln based on image feedback | 5 |
| 18 | Property of important kinds of soil in Daqing | 2 |
| 19 | 2 | |
| 20 | 2 |
About Xiaoyan Liu
Xiaoyan Liu is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Media Technology, having authored 88 papers that have together received 837 indexed citations. Recurring topics across this work include Mineral Processing and Grinding (16 papers), Granular flow and fluidized beds (8 papers) and Iron and Steelmaking Processes (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (90 citations), Computational Mechanics (170 citations) and Civil and Structural Engineering (153 citations). Xiaoyan Liu has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Hu Zhou, Fabian Herz, Chaoyu Zhang, Lulu Liu, Anand J. Puppala, Eckehard Specht, Guojun Cai, Songyu Liu, Qianwang Deng and Like Zhang. Their work appears in journals such as Journal of Cleaner Production, Journal of Computational Physics and IEEE Transactions on Biomedical Engineering.
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.