Xiaotong Liu

689 citations
41 papers · 326 indexed · h-index 10
Topics
Data Visualization and Analytics (6 papers)Topic Modeling (4 papers)Geological and Geochemical Analysis (4 papers)
Journals
SHILAP Revista de lepidopterologíaPLoS ONERemote Sensing of Environment

In The Last Decade

Xiaotong Liu

35 papers receiving 319 citations

Peers

Xiaotong Liu
Comparison fields: 5 of 100
  • Computer Vision and Pattern Recognition 155
  • Artificial Intelligence 99
  • Signal Processing 42
  • Ecology 37
  • Statistical and Nonlinear Physics 23
Replace Samuel G. Fadel with:
Samuel G. Fadel Brazil
Kevin Verbeek Netherlands
Adrian Ulges Germany
Adriano Lopes Portugal
P. Amburn United States
Kenton McHenry United States
Daoyu Lin China
Raphael Fuchs Switzerland
Guillaume Couairon France
Fanglong Yao China
Xiaotong Liu relative to Samuel G. Fadel Brazil Samuel G. Fadel's profile →
Citations per field
00.5×3.2×
Samuel G. Fadel · 1×
Citations per year

Countries citing papers authored by Xiaotong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaotong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaotong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaotong Liu. A scholar is included among the top collaborators of Xiaotong 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 Xiaotong Liu. Xiaotong 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
1 0
2 2
3 2
4 0
5 0
6 10
7 6
8 2
9 3
10 2
11 15
12 0
13 2
14 0
15 8
16 5
17 25
18 3
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20 31

About Xiaotong Liu

Xiaotong Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing, having authored 41 papers that have together received 326 indexed citations. Recurring topics across this work include Data Visualization and Analytics (6 papers), Topic Modeling (4 papers) and Geological and Geochemical Analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (155 citations), Computer Graphics and Computer-Aided Design (23 citations) and Signal Processing (42 citations). Xiaotong Liu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Han‐Wei Shen, Stephen C. North, Yifan Hu, Ayan Biswas, Guang Lin, Yingcai Wu, Shi‐Xia Liu, Xiaozhen Du, Hong Yu and Changchang Yin. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Remote Sensing of Environment.

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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