Xiaobin Liu

570 total citations
18 papers, 349 citations indexed

About

Xiaobin Liu is a scholar working on Computer Vision and Pattern Recognition, Plant Science and Biomedical Engineering. According to data from OpenAlex, Xiaobin Liu has authored 18 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Plant Science and 4 papers in Biomedical Engineering. Recurrent topics in Xiaobin Liu's work include Video Surveillance and Tracking Methods (6 papers), Gait Recognition and Analysis (4 papers) and Smart Agriculture and AI (3 papers). Xiaobin Liu is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Gait Recognition and Analysis (4 papers) and Smart Agriculture and AI (3 papers). Xiaobin Liu collaborates with scholars based in China, United States and Russia. Xiaobin Liu's co-authors include Shiliang Zhang, Wen Gao, Qingming Huang, Qi Tian, Richang Hong, Xiaoyu Wang, Longhui Wei, Jianing Li, Tiejun Huang and Ming Yang and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Xiaobin Liu

17 papers receiving 344 citations

Peers

Xiaobin Liu
Comparison fields: 5 of 64
  • Computer Vision and Pattern Recognition 288
  • Media Technology 70
  • Automotive Engineering 50
  • Artificial Intelligence 49
  • Biomedical Engineering 37
Replace Chun-Ming Tsai with:
Chun-Ming Tsai Taiwan
Kiattisin Kanjanawanishkul Thailand
Sobhan Babu India
Graeme A. Jones United Kingdom
Zijie Zhuang China
Jorge García Spain
Yihang Chen China
Nick C. Tang Taiwan
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Chun-Ming Tsai Taiwan View profile →
Citations per field, relative to Xiaobin Liu
Xiaobin Liu · 1×
Citations per year, relative to Xiaobin Liu
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Countries citing papers authored by Xiaobin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaobin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobin Liu. A scholar is included among the top collaborators of Xiaobin 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 Xiaobin Liu. Xiaobin Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 3
3 6
4 3
5 10
6 18
7 4
8 12
9 24
10 45
11 14
12 8
13 170
14 20
15 2
16 3
17 4
18
Breeding of two-line indica hybrid rice combination, “Yangliangyou 6”,and studying on its culture characteristics
3

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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