Xiujuan Lei

4.8k citations
186 papers · 3.4k indexed · h-index 31
Topics
Bioinformatics and Genomic Networks (66 papers)Computational Drug Discovery Methods (51 papers)Machine Learning in Bioinformatics (44 papers)
Partner nations
ChinaCanadaUnited States

In The Last Decade

Xiujuan Lei

170 papers receiving 3.3k citations

Peers

Xiujuan Lei
Comparison fields: 5 of 140
  • Molecular Biology 2.3k
  • Cancer Research 1.2k
  • Computational Theory and Mathematics 766
  • Artificial Intelligence 558
  • Electrical and Electronic Engineering 157
Replace Maozu Guo with:
Maozu Guo China
Ping Xuan China
Yu‐An Huang China
Ka‐Chun Wong Hong Kong
Chun-Hou Zheng China
Lin Gao China
Lun Hu China
Ling‐Yun Wu China
Wenbin Liu China
Anirban Mukhopadhyay India
Xiujuan Lei relative to Maozu Guo China Maozu Guo's profile →
Citations per field
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Maozu Guo · 1×
Citations per year

Countries citing papers authored by Xiujuan Lei

Since Specialization
Citations

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

Fields of papers citing papers by Xiujuan Lei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiujuan Lei

This figure shows the co-authorship network connecting the top 25 collaborators of Xiujuan Lei. A scholar is included among the top collaborators of Xiujuan Lei 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 Xiujuan Lei. Xiujuan Lei 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 4
2 1
3 0
4 8
5 10
6 10
7 32
8 5
9 47
10 10
11 7
12
An Adaptive Decomposition-based Multi-objective Evolutionary Algorithm for Fuzzy Portfolio Selection.
0
13 53
14 9
15 16
16 13
17 82
18 7
19
Application of improved particle swarm optimization algorithm in robotic path planning
4
20
Multi-objective Optimization of Genetic Algorithm and Its Application in DSS
1

About Xiujuan Lei

Xiujuan Lei is a scholar working on Computational Theory and Mathematics, Cancer Research and Molecular Biology, having authored 186 papers that have together received 3.4k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (66 papers), Computational Drug Discovery Methods (51 papers) and Machine Learning in Bioinformatics (44 papers). The work is most often cited by research in Cancer Research (1.2k citations), Computational Theory and Mathematics (766 citations) and Molecular Biology (2.3k citations). Xiujuan Lei has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Fang‐Xiang Wu, Yi Pan, Zengqiang Fang, Chunyan Fan, Yulian Ding, Yuchen Zhang, Bo Liao, Aidong Zhang, Zhengfeng Wang and Hamido Fujita. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Molecular Sciences.

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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