Xiaolei Lu

439 total citations
23 papers, 306 citations indexed

About

Xiaolei Lu is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Materials Chemistry. According to data from OpenAlex, Xiaolei Lu has authored 23 papers receiving a total of 306 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 4 papers in Civil and Structural Engineering and 4 papers in Materials Chemistry. Recurrent topics in Xiaolei Lu's work include Machine Learning in Healthcare (3 papers), Concrete and Cement Materials Research (3 papers) and Graphene research and applications (2 papers). Xiaolei Lu is often cited by papers focused on Machine Learning in Healthcare (3 papers), Concrete and Cement Materials Research (3 papers) and Graphene research and applications (2 papers). Xiaolei Lu collaborates with scholars based in China, United States and Hong Kong. Xiaolei Lu's co-authors include Jianbo Yu, Jiaming Wu, Zhengmao Ye, Xin Cheng, Lina Zhang, Congcong Jiang, Shuxian Wang, Chenglu Wen, Weiquan Liu and Dan Wang and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Construction and Building Materials and Journal of Food Engineering.

In The Last Decade

Xiaolei Lu

20 papers receiving 300 citations

Peers

Xiaolei Lu
Comparison fields: 5 of 75
  • Industrial and Manufacturing Engineering 128
  • Electrical and Electronic Engineering 101
  • Building and Construction 54
  • Computer Vision and Pattern Recognition 46
  • Civil and Structural Engineering 38
Replace Dandan Pang with:
Dandan Pang China
Raúl García Ovejero Spain
Gang Shen China
Guangming Zhang China
Dıpu Sarkar India
Michaël Bressan Colombia
Adedeji Olugboja South Africa
Fafa Chen China
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Dandan Pang China View profile →
Citations per field, relative to Xiaolei Lu
Xiaolei Lu · 1×
Citations per year, relative to Xiaolei Lu
Xiaolei Lu · 1×

Countries citing papers authored by Xiaolei Lu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolei Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaolei Lu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaolei Lu. A scholar is included among the top collaborators of Xiaolei Lu 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 Lu. Xiaolei Lu 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 1
5 8
6 2
7 0
8 1
9 2
10 39
11 13
12 12
13 14
14 6
15 3
16 7
17 5
18 132
19 5
20 1

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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