Xinhai Liu

1.6k total citations
51 papers, 1.0k citations indexed

About

Xinhai Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Mechanics. According to data from OpenAlex, Xinhai Liu has authored 51 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 8 papers in Computational Mechanics. Recurrent topics in Xinhai Liu's work include Advanced Clustering Algorithms Research (7 papers), Complex Network Analysis Techniques (7 papers) and 3D Shape Modeling and Analysis (7 papers). Xinhai Liu is often cited by papers focused on Advanced Clustering Algorithms Research (7 papers), Complex Network Analysis Techniques (7 papers) and 3D Shape Modeling and Analysis (7 papers). Xinhai Liu collaborates with scholars based in China, Belgium and United States. Xinhai Liu's co-authors include Zhizhong Han, Yu-Shen Liu, Matthias Zwicker, Wolfgang Glänzel, Shi Yu, Yves Moreau, Wolfgang Glänzel, Bart De Moor, Bart De Moor and Léon-Charles Tranchevent and has published in prestigious journals such as Physical review. B, Condensed matter, Bioinformatics and Journal of Applied Physics.

In The Last Decade

Xinhai Liu

49 papers receiving 995 citations

Peers

Xinhai Liu
Comparison fields: 5 of 113
  • Computer Vision and Pattern Recognition 355
  • Computational Mechanics 352
  • Artificial Intelligence 245
  • Geology 211
  • Computer Graphics and Computer-Aided Design 151
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Weiqing Li China
Mark Fuge United States
Wei Song China
Xu Liu China
Qiuxia Wu China
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Citations per field, relative to Xinhai Liu
Xinhai Liu · 1×
Citations per year, relative to Xinhai Liu
Xinhai Liu · 1×

Countries citing papers authored by Xinhai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xinhai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinhai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhai Liu. A scholar is included among the top collaborators of Xinhai 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 Xinhai Liu. Xinhai 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 1
3 1
4 0
5 20
6
Event Detection in Scientific Mapping based on a Novel Structural Community Similarity Algorithm.
1
7 1
8 15
9 57
10 3
11 16
12 177
13 21
14 2
15 49
16 21
17
Improving Multipurpose Utilization of Mineral Resources by Developing Mining Recycling Economy
2
18
Study on surface modification of illite
2
19
Advance in nanocomposites of palygorskite/polymer
2
20
[The interaction between La and polyurethane system].
1

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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