Xinwu Liu

576 total citations
39 papers, 430 citations indexed

About

Xinwu Liu is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Ecology. According to data from OpenAlex, Xinwu Liu has authored 39 papers receiving a total of 430 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 18 papers in Computational Mechanics and 5 papers in Ecology. Recurrent topics in Xinwu Liu's work include Image and Signal Denoising Methods (25 papers), Advanced Image Processing Techniques (21 papers) and Sparse and Compressive Sensing Techniques (17 papers). Xinwu Liu is often cited by papers focused on Image and Signal Denoising Methods (25 papers), Advanced Image Processing Techniques (21 papers) and Sparse and Compressive Sensing Techniques (17 papers). Xinwu Liu collaborates with scholars based in China and United States. Xinwu Liu's co-authors include Lihong Huang, Lihong Huang, Zhenyuan Guo, Christopher F. Steiner, Yue Chen, Yong Nie, Xiao‐Lei Wu, Daiqin Li, Yingying Li and Miaoxiao Wang and has published in prestigious journals such as Nature Communications, Expert Systems with Applications and Journal of the Franklin Institute.

In The Last Decade

Xinwu Liu

34 papers receiving 415 citations

Peers

Xinwu Liu
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 316
  • Computational Mechanics 141
  • Media Technology 123
  • Biomedical Engineering 48
  • Ecology 34
Replace Laurent Demaret with:
Laurent Demaret Germany
Miguel Colom France
Zezhou Cheng United States
Bryan Chou United States
H. Burger Germany
Tizian Zeltner Switzerland
Yuanyang Bu China
Bert Geelen Belgium
Yongliang Xiao China
Yvon Voisin France
Laurent Demaret Germany View profile →
Citations per field, relative to Xinwu Liu
Xinwu Liu · 1×
Citations per year, relative to Xinwu Liu
Xinwu Liu · 1×

Countries citing papers authored by Xinwu Liu

Since Specialization
Citations

This map shows the geographic impact of Xinwu 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 Xinwu Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xinwu Liu more than expected).

Fields of papers citing papers by Xinwu Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xinwu 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 Xinwu Liu. The network helps show where Xinwu Liu may publish in the future.

Co-authorship network of co-authors of Xinwu Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinwu Liu. A scholar is included among the top collaborators of Xinwu 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 Xinwu Liu. Xinwu 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 0
2 0
3 1
4 0
5 1
6 6
7 0
8 9
9 10
10 7
11 1
12 6
13 2
14 5
15 22
16 27
17 19
18 3
19 46
20 42

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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