Xiaojing Liu

2.1k total citations
135 papers, 1.6k citations indexed

About

Xiaojing Liu is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Materials Chemistry. According to data from OpenAlex, Xiaojing Liu has authored 135 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Aerospace Engineering, 21 papers in Computer Vision and Pattern Recognition and 19 papers in Materials Chemistry. Recurrent topics in Xiaojing Liu's work include Nuclear reactor physics and engineering (29 papers), Image and Signal Denoising Methods (16 papers) and Fractional Differential Equations Solutions (15 papers). Xiaojing Liu is often cited by papers focused on Nuclear reactor physics and engineering (29 papers), Image and Signal Denoising Methods (16 papers) and Fractional Differential Equations Solutions (15 papers). Xiaojing Liu collaborates with scholars based in China, United States and Bulgaria. Xiaojing Liu's co-authors include Youhe Zhou, Jizeng Wang, Gongming Wang, Hui Xia, Chaolun Liang, Teng Zhai, Shuo Sun, Tengfei Zhang, Shuai Du and Reti Hai and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Renewable and Sustainable Energy Reviews.

In The Last Decade

Xiaojing Liu

117 papers receiving 1.5k citations

Peers

Xiaojing Liu
Comparison fields: 5 of 145
  • Electrical and Electronic Engineering 307
  • Aerospace Engineering 223
  • Materials Chemistry 209
  • Electronic, Optical and Magnetic Materials 201
  • Modeling and Simulation 143
Replace Yanyan Li with:
Yanyan Li China
Feng Han China
Jianbing Chen China
Zhenguo Zhang China
Chun Liu China
S. A. Sherif United States
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Citations per field, relative to Xiaojing Liu
Xiaojing Liu · 1×
Citations per year, relative to Xiaojing Liu
Xiaojing Liu · 1×

Countries citing papers authored by Xiaojing Liu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaojing Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaojing Liu

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

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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