Kaixuan Liu

2.4k citations
144 papers · 1.7k indexed · h-index 25
Topics
3D Shape Modeling and Analysis (25 papers)Textile materials and evaluations (21 papers)Color perception and design (19 papers)
Journals
Angewandte Chemie International EditionSHILAP Revista de lepidopterologíaChemistry of Materials
Partner nations
ChinaFranceUnited States

In The Last Decade

Kaixuan Liu

125 papers receiving 1.6k citations

Peers

Kaixuan Liu
Comparison fields: 5 of 132
  • Computational Mechanics 429
  • Polymers and Plastics 416
  • Social Psychology 302
  • Electrical and Electronic Engineering 210
  • Materials Chemistry 196
Replace Konstantinos C. Apostolakis with:
Konstantinos C. Apostolakis Greece
Quan Liu China
Lingyun Yu China
Yanjun Lü China
Yukun Zhu China
Bin Zhou China
Antonio Agudo Spain
Han Xu China
Roel Loonen Netherlands
Kaixuan Liu relative to Konstantinos C. Apostolakis Greece Konstantinos C. Apostolakis's profile →
Citations per field
00.5×10×20×30×40×47.7×
Konstantinos C. Apostolakis · 1×
Citations per year

Countries citing papers authored by Kaixuan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Kaixuan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kaixuan Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Kaixuan Liu. A scholar is included among the top collaborators of Kaixuan 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 Kaixuan Liu. Kaixuan 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
#WorkIndexed citations
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11 7
12 17
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14 2
15 8
16 26
17
Target Detection Method for SAR Images Based on Feature Fusion Convolutional Neural Network
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19 7
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About Kaixuan Liu

Kaixuan Liu is a scholar working on Computer Graphics and Computer-Aided Design, Museology and Polymers and Plastics, having authored 144 papers that have together received 1.7k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (25 papers), Textile materials and evaluations (21 papers) and Color perception and design (19 papers). The work is most often cited by research in Museology (135 citations), Computer Graphics and Computer-Aided Design (133 citations) and Polymers and Plastics (416 citations). Kaixuan Liu has collaborated with scholars based in China, France and United States. Frequent co-authors include Xianyi Zeng, Pascal Bruniaux, Yan Hong, Chun Zhu, Jianping Wang, Xuyuan Tao, Edwin Kamalha, Ming Hu, Yuxiang Qin and Guangtao Fan. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemistry of Materials.

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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