Yi Mei

9.8k citations
250 papers · 6.1k indexed · 1 hit paper · h-index 40

Yi Mei

232 papers receiving 6.0k citations

Hit Papers

Cooperative Co-Evolution With Differential Grouping for L...5592013202620172021100200300400500

Peers

Yi Mei
Comparison fields: 5 of 145
  • Industrial and Manufacturing Engineering 2.3k
  • Computational Theory and Mathematics 1.6k
  • Artificial Intelligence 3.1k
  • Computer Networks and Communications 809
  • Control and Systems Engineering 503
Replace M. Fatih Tasgetiren with:
M. Fatih Tasgetiren Türkiye
El‐Ghazali Talbi France
Yongquan Zhou China
Liang Feng China
Ender Özcan United Kingdom
Gary Kochenberger United States
Lixin Tang China
Daryl Essam Australia
Ali Sadollah Iran
N. Srinivas India
Yi Mei relative to M. Fatih Tasgetiren Türkiye M. Fatih Tasgetiren's profile →
Citations per field
00.5×10×13.5×
M. Fatih Tasgetiren · 1×
Citations per year

Countries citing papers authored by Yi Mei

Since Specialization
Citations

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

Fields of papers citing papers by Yi Mei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Yi Mei, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yi Mei Line = papers co-authored together Yi Mei links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20259
2 20252
3 20251
4 20251
5 20244
6 20245
7 20248
8 20243
9 20241
10 20242
11 20241
12 20244
13 20241
14 20238
15 202367
16 20226
17 202041
18 202016
19 20206
20 2019155

About Yi Mei

Yi Mei is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 250 papers that have together received 6.1k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (110 papers), Evolutionary Algorithms and Applications (72 papers), Vehicle Routing Optimization Methods (65 papers), Scheduling and Optimization Algorithms (57 papers), Advanced Multi-Objective Optimization Algorithms (43 papers), Optimization and Packing Problems (24 papers), Robotic Path Planning Algorithms (17 papers) and Advanced Manufacturing and Logistics Optimization (16 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.3k citations), Computational Theory and Mathematics (1.6k citations), Artificial Intelligence (3.1k citations), Computer Networks and Communications (809 citations) and Control and Systems Engineering (503 citations). Yi Mei has collaborated with scholars based in New Zealand, China and Australia. Frequent co-authors include Mengjie Zhang, Xin Yao, Xiaodong Li, Su Nguyen, Fangfang Zhang, Mohammad Nabi Omidvar, Ke Tang, Ya-Hui Jia, Hui Ma and Bing Xue. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, IEEE Transactions on Cybernetics, IEEE Transactions on Artificial Intelligence, Chemical Engineering Journal and Soft Computing.

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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