Juan Mei

443 total citations
26 papers, 350 citations indexed

About

Juan Mei is a scholar working on Molecular Biology, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Juan Mei has authored 26 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Control and Systems Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Juan Mei's work include Machine Learning in Bioinformatics (4 papers), Advanced Algorithms and Applications (3 papers) and Evolutionary Algorithms and Applications (2 papers). Juan Mei is often cited by papers focused on Machine Learning in Bioinformatics (4 papers), Advanced Algorithms and Applications (3 papers) and Evolutionary Algorithms and Applications (2 papers). Juan Mei collaborates with scholars based in China. Juan Mei's co-authors include Ji Zhao, Yi Fu, Ping Wang, Zhenzhong Feng, Changjie Chen, Siyan Liao, Donghong Yu, Ke Zhang, Qing Zhang and Sixiang Wen and has published in prestigious journals such as Journal of Power Sources, Scientific Reports and Journal of Computational Chemistry.

In The Last Decade

Juan Mei

24 papers receiving 340 citations

Peers

Juan Mei
Comparison fields: 5 of 92
  • Molecular Biology 210
  • Computational Theory and Mathematics 36
  • Cancer Research 26
  • Statistical and Nonlinear Physics 22
  • Artificial Intelligence 22
Replace Jingxuan Zhu with:
Jingxuan Zhu China
Chase Cockrell United States
Qinghui Liu China
Rati Sharma India
Siyuan Liu China
Yixin Chen China
Dawid Warszycki Poland
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Jingxuan Zhu China View profile →
Citations per field, relative to Juan Mei
Juan Mei · 1×
Citations per year, relative to Juan Mei
Juan Mei · 1×

Countries citing papers authored by Juan Mei

Since Specialization
Citations

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

Fields of papers citing papers by Juan Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Mei

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Mei. A scholar is included among the top collaborators of Juan Mei 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 Juan Mei. Juan Mei 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 7
2 4
3 1
4 9
5 0
6 1
7 1
8 10
9 38
10 49
11 64
12 2
13
Research of On-line Detection of Chromatic Aberration of Image Printed on Tin
1
14 5
15 66
16 1
17 0
18 5
19 49
20
The embedded system designing
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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