Xiaolei Shi

1.1k total citations
43 papers, 891 citations indexed

About

Xiaolei Shi is a scholar working on Biomedical Engineering, Automotive Engineering and Molecular Biology. According to data from OpenAlex, Xiaolei Shi has authored 43 papers receiving a total of 891 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 8 papers in Automotive Engineering and 6 papers in Molecular Biology. Recurrent topics in Xiaolei Shi's work include 3D Printing in Biomedical Research (9 papers), Additive Manufacturing and 3D Printing Technologies (8 papers) and Coconut Research and Applications (4 papers). Xiaolei Shi is often cited by papers focused on 3D Printing in Biomedical Research (9 papers), Additive Manufacturing and 3D Printing Technologies (8 papers) and Coconut Research and Applications (4 papers). Xiaolei Shi collaborates with scholars based in United States, China and Norway. Xiaolei Shi's co-authors include Hantang Qin, Yiliang Cheng, Xuepeng Jiang, Lambertus Hesselink, Nuria C. Acevedo, Timothy H. Sanders, Sanming Li, Fei Han, Stephanie Clark and Jack P. Davis and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Food Chemistry and Journal of Allergy and Clinical Immunology.

In The Last Decade

Xiaolei Shi

42 papers receiving 870 citations

Peers

Xiaolei Shi
Comparison fields: 5 of 118
  • Biomedical Engineering 314
  • Automotive Engineering 203
  • Food Science 201
  • Biomaterials 113
  • Molecular Biology 107
Replace Qingliang Yang with:
Qingliang Yang China
Frank Runkel Germany
Thomas Schmidts Germany
Olivier Rouaud France
Dominique Jasmin Lunter Germany
Mingchen Wang China
Mohammad Azad United States
Rajiv Bajracharya South Korea
Thomas Dürig United States
Manee Luangtana‐anan Thailand
Qingliang Yang China View profile →
Citations per field, relative to Xiaolei Shi
Xiaolei Shi · 1×
Citations per year, relative to Xiaolei Shi
Xiaolei Shi · 1×

Countries citing papers authored by Xiaolei Shi

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Shi. A scholar is included among the top collaborators of Xiaolei Shi 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 Xiaolei Shi. Xiaolei Shi 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 2
3 2
4 43
5 6
6 1
7 103
8 2
9 2
10 15
11 31
12 50
13 19
14 34
15 4
16 50
17 32
18 33
19 1
20 73

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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