Kaixuan Liu

206 total papers · 2.3k total citations
141 papers, 1.6k citations indexed

About

Kaixuan Liu is a scholar working on Polymers and Plastics, Computational Mechanics and Social Psychology. According to data from OpenAlex, Kaixuan Liu has authored 141 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Polymers and Plastics, 28 papers in Computational Mechanics and 27 papers in Social Psychology. Recurrent topics in Kaixuan Liu's work include 3D Shape Modeling and Analysis (25 papers), Textile materials and evaluations (21 papers) and Color perception and design (19 papers). Kaixuan Liu is often cited by papers focused on 3D Shape Modeling and Analysis (25 papers), Textile materials and evaluations (21 papers) and Color perception and design (19 papers). Kaixuan Liu collaborates with scholars based in China, France and United States. Kaixuan Liu's co-authors include Xianyi Zeng, Pascal Bruniaux, Yan Hong, Chun Zhu, Jianping Wang, Xuyuan Tao, Edwin Kamalha, Guangtao Fan, Ming Hu and Yuxiang Qin and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Chemistry of Materials.

In The Last Decade

Kaixuan Liu

121 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Kaixuan Liu 421 415 300 207 193 141 1.6k
Rong Zheng 446 1.1× 261 0.6× 57 0.2× 116 0.6× 125 0.6× 110 1.7k
Quan Liu 77 0.2× 295 0.7× 9 0.0× 58 0.3× 108 0.6× 146 1.9k
Ning Liu 252 0.6× 98 0.2× 23 0.1× 431 2.1× 228 1.2× 205 2.2k
Huanhuan Zhang 288 0.7× 184 0.4× 5 0.0× 241 1.2× 160 0.8× 126 1.7k
Tae Hyung Kim 253 0.6× 76 0.2× 33 0.1× 514 2.5× 259 1.3× 116 2.1k
Jinchang Wang 214 0.5× 157 0.4× 86 0.3× 178 0.9× 285 1.5× 107 2.3k
Mauro Overend 136 0.3× 190 0.5× 196 0.7× 354 1.7× 152 0.8× 108 2.4k
Yibing Li 158 0.4× 119 0.3× 118 0.4× 139 0.7× 322 1.7× 97 1.7k
Jijun Wang 35 0.1× 267 0.6× 146 0.5× 245 1.2× 100 0.5× 76 1.8k
Zhenyu Wang 45 0.1× 86 0.2× 30 0.1× 564 2.7× 222 1.2× 130 2.3k

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

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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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