Chenxi Liu

2.3k total citations
51 papers, 518 citations indexed

About

Chenxi Liu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Chenxi Liu has authored 51 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 12 papers in Artificial Intelligence and 9 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Chenxi Liu's work include Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (7 papers) and Advanced Neural Network Applications (6 papers). Chenxi Liu is often cited by papers focused on Computer Graphics and Visualization Techniques (9 papers), 3D Shape Modeling and Analysis (7 papers) and Advanced Neural Network Applications (6 papers). Chenxi Liu collaborates with scholars based in China, United States and Canada. Chenxi Liu's co-authors include Alan Yuille, Fei Sha, Junhua Mao, Alla Sheffer, Lingxi Xie, James McCann, Siyuan Qiao, Chi–Keung Tang, Yu-Siang Wang and Xiaohui Zeng and has published in prestigious journals such as Nature Communications, Atmospheric Environment and Current Opinion in Neurobiology.

In The Last Decade

Chenxi Liu

41 papers receiving 503 citations

Peers

Chenxi Liu
Comparison fields: 5 of 104
  • Computer Vision and Pattern Recognition 256
  • Artificial Intelligence 177
  • Computational Mechanics 70
  • Computer Graphics and Computer-Aided Design 59
  • Atmospheric Science 40
Replace Lan Ma with:
Lan Ma China
Qicong Wang China
Huanjing Yue China
Bruno Cornelis Belgium
María Vanrell Spain
Jenia Jitsev Germany
Yikai Wang China
Jonathan Ventura United States
Lan Ma China View profile →
Citations per field, relative to Chenxi Liu
Chenxi Liu · 1×
Citations per year, relative to Chenxi Liu
Chenxi Liu · 1×

Countries citing papers authored by Chenxi Liu

Since Specialization
Citations

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

Fields of papers citing papers by Chenxi Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chenxi Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Chenxi Liu. A scholar is included among the top collaborators of Chenxi 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 Chenxi Liu. Chenxi 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 0
4 12
5 4
6 19
7 0
8 4
9 14
10 12
11 2
12 8
13 16
14 26
15 1
16
Weight Standardization
21
17 0
18 1
19 34
20 15

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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