Yanmin Liu

3.1k citations
174 papers · 2.0k indexed · h-index 25
Topics
Metaheuristic Optimization Algorithms Research (32 papers)Advanced Multi-Objective Optimization Algorithms (24 papers)Matrix Theory and Algorithms (13 papers)

In The Last Decade

Yanmin Liu

158 papers receiving 2.0k citations

Peers

Yanmin Liu
Comparison fields: 5 of 151
  • Materials Chemistry 433
  • Mechanical Engineering 378
  • Molecular Biology 300
  • Ocean Engineering 290
  • Mechanics of Materials 286
Replace Yumei Huang with:
Yumei Huang China
Cheng Cheng China
Constantinos Theodoropoulos United Kingdom
T. Subba Rao India
Sushanta K. Mitra Canada
Antonello Barresi Italy
Sanjeev S. Tambe India
Gilberto Espinosa-Paredes Mexico
Yanmin Liu relative to Yumei Huang China Yumei Huang's profile →
Citations per field
00.5×7.6×
Yumei Huang · 1×
Citations per year

Countries citing papers authored by Yanmin Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yanmin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yanmin Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yanmin Liu. A scholar is included among the top collaborators of Yanmin 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 Yanmin Liu. Yanmin 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
#WorkIndexed citations
1 0
2 2
3 2
4 10
5 0
6 10
7 5
8 5
9 1
10 2
11 1
12 35
13
Screening and identification of lactic acid bacteria with high antioxidant capacity.
1
14 16
15 10
16
Improved particle swarm optimization based on adaptive rejection factor
1
17
Numerical Simulation of liquid sloshing in 3D elastic tanks
2
18
Reaction of dielectric barrier discharge plasma with crude oil
2
19
Improved Particle Swarm Optimizer and Its Application for CvaR Model
1
20
Research and application of input selecting theory of multi-DOF parallel mechanisms
1

About Yanmin Liu

Yanmin Liu is a scholar working on Computational Mathematics, Computational Theory and Mathematics and Artificial Intelligence, having authored 174 papers that have together received 2.0k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (32 papers), Advanced Multi-Objective Optimization Algorithms (24 papers) and Matrix Theory and Algorithms (13 papers). The work is most often cited by research in Computational Mathematics (50 citations), Ocean Engineering (290 citations) and Catalysis (130 citations). Yanmin Liu has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Shaoran Ren, Liang Zhang, Jun Yu, Xiaoming Guo, Dongsen Mao, Guodong Cui, Ben Niu, Lei Shi, Jiangting Li and Baolong Guo. Their work appears in journals such as Nano Letters, Scientific Reports and IEEE Transactions on Industrial Electronics.

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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