Xiaoming Liu

901 total citations
40 papers, 563 citations indexed

About

Xiaoming Liu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Xiaoming Liu has authored 40 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 13 papers in Computer Vision and Pattern Recognition and 7 papers in Control and Systems Engineering. Recurrent topics in Xiaoming Liu's work include Domain Adaptation and Few-Shot Learning (8 papers), Topic Modeling (5 papers) and Traffic Prediction and Management Techniques (5 papers). Xiaoming Liu is often cited by papers focused on Domain Adaptation and Few-Shot Learning (8 papers), Topic Modeling (5 papers) and Traffic Prediction and Management Techniques (5 papers). Xiaoming Liu collaborates with scholars based in China, United States and United Kingdom. Xiaoming Liu's co-authors include Luan Tran, Rong Jin, Jiayu Zhou, Bilal Alsallakh, Liu Ren, Mao Ye, Amin Jourabloo, Hao Wu, Gianfranco Doretto and Tsuhan Chen and has published in prestigious journals such as IEEE Access, Sensors and Frontiers in Psychology.

In The Last Decade

Xiaoming Liu

38 papers receiving 534 citations

Peers

Xiaoming Liu
Comparison fields: 5 of 106
  • Computer Vision and Pattern Recognition 262
  • Artificial Intelligence 250
  • Experimental and Cognitive Psychology 51
  • Signal Processing 50
  • Information Systems 30
Replace Chen-Lin Zhang with:
Chen-Lin Zhang China
Linqin Cai China
Songtao Ding China
Akshay Vashist United States
Wen-Huang Cheng Taiwan
Zhonghua Zhao China
Dushyant Kumar Singh India
Jian Zhao China
Yunsheng Ma United States
Chen-Lin Zhang China View profile →
Citations per field, relative to Xiaoming Liu
Xiaoming Liu · 1×
Citations per year, relative to Xiaoming Liu
Xiaoming Liu · 1×

Countries citing papers authored by Xiaoming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoming Liu. A scholar is included among the top collaborators of Xiaoming 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 Xiaoming Liu. Xiaoming 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 1
3 0
4 3
5 1
6 16
7 17
8 8
9 2
10 7
11 1
12 8
13 2
14 1
15 22
16 8
17 4
18 48
19 21
20 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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