Xiaokai Liu

834 total citations
41 papers, 611 citations indexed

About

Xiaokai Liu is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaokai Liu has authored 41 papers receiving a total of 611 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 7 papers in Aerospace Engineering and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaokai Liu's work include Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Gait Recognition and Analysis (5 papers). Xiaokai Liu is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Gait Recognition and Analysis (5 papers). Xiaokai Liu collaborates with scholars based in China, United States and United Kingdom. Xiaokai Liu's co-authors include Jie Wang, Xiaorui Ma, Ming–Hsuan Yang, Yi-Ting Chen, Dan Ni, Ning Zhang, Bo Gao, Hongyu Wang, Weihao Ma and Hongyu Wang and has published in prestigious journals such as Journal of Materials Chemistry A, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Xiaokai Liu

39 papers receiving 599 citations

Peers

Xiaokai Liu
Comparison fields: 5 of 86
  • Computer Vision and Pattern Recognition 279
  • Media Technology 99
  • Biomedical Engineering 98
  • Electrical and Electronic Engineering 89
  • Artificial Intelligence 81
Replace Shuangjiang Li with:
Shuangjiang Li China
Fuqin Deng China
Congxuan Zhang China
Zhiwei Zhong China
Bo Fu China
Guojun Wen China
Jiao Dai China
Jiangnan Zhang China
Zifan Fang China
Shuangjiang Li China View profile →
Citations per field, relative to Xiaokai Liu
Xiaokai Liu · 1×
Citations per year, relative to Xiaokai Liu
Xiaokai Liu · 1×

Countries citing papers authored by Xiaokai Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaokai Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaokai Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaokai Liu. A scholar is included among the top collaborators of Xiaokai 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 Xiaokai Liu. Xiaokai 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 2
4 1
5 1
6 2
7 11
8 9
9 27
10 7
11 12
12 49
13 28
14 5
15 12
16 15
17 1
18 50
19 1
20 6

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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