Xiaoyan Liu

1.2k total citations
88 papers, 837 citations indexed

About

Xiaoyan Liu is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Computational Mechanics. According to data from OpenAlex, Xiaoyan Liu has authored 88 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 19 papers in Mechanical Engineering and 12 papers in Computational Mechanics. Recurrent topics in Xiaoyan Liu's work include Mineral Processing and Grinding (16 papers), Granular flow and fluidized beds (8 papers) and Iron and Steelmaking Processes (6 papers). Xiaoyan Liu is often cited by papers focused on Mineral Processing and Grinding (16 papers), Granular flow and fluidized beds (8 papers) and Iron and Steelmaking Processes (6 papers). Xiaoyan Liu collaborates with scholars based in China, Germany and United States. Xiaoyan Liu's 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 and has published in prestigious journals such as Journal of Cleaner Production, Journal of Computational Physics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Xiaoyan Liu

81 papers receiving 816 citations

Peers

Xiaoyan Liu
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
Replace Wei Guan with:
Wei Guan China
Parvathy Rajendran Malaysia
Romesh Nagarajah Australia
Duanfeng Han China
Lei Si China
Zhihua Chen China
Shaohua Dong China
Jingyi Zhang China
Alessandro Leonardi Italy
Wei Guan China View profile →
Citations per field, relative to Xiaoyan Liu
Xiaoyan Liu · 1×
Citations per year, relative to Xiaoyan Liu
Xiaoyan Liu · 1×

Countries citing papers authored by Xiaoyan Liu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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