Wei–Jie Yu

1.9k citations
52 papers · 1.5k indexed · h-index 17
Topics
Metaheuristic Optimization Algorithms Research (27 papers)Advanced Multi-Objective Optimization Algorithms (23 papers)Evolutionary Algorithms and Applications (17 papers)
Partner nations
ChinaAustraliaHong Kong

In The Last Decade

Wei–Jie Yu

46 papers receiving 1.4k citations

Peers

Wei–Jie Yu
Comparison fields: 5 of 107
  • Artificial Intelligence 999
  • Computational Theory and Mathematics 696
  • Electrical and Electronic Engineering 169
  • Industrial and Manufacturing Engineering 157
  • Control and Systems Engineering 133
Replace Dunwei Gong with:
Dunwei Gong China
Ilhem Boussaïd Algeria
Osman Kaan Erol Türkiye
Zahra Beheshti Iran
Anand J. Kulkarni India
Irfan Younas Pakistan
Hajime Kita Japan
Julien Lepagnot France
Yiqiao Cai China
Haibin Ouyang China
Wei–Jie Yu relative to Dunwei Gong China Dunwei Gong's profile →
Citations per field
00.5×1.5×2.0×
Dunwei Gong · 1×
Citations per year

Countries citing papers authored by Wei–Jie Yu

Since Specialization
Citations

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

Fields of papers citing papers by Wei–Jie Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei–Jie Yu. 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 Wei–Jie Yu. The network helps show where Wei–Jie Yu may publish in the future.

Co-authorship network of co-authors of Wei–Jie Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Wei–Jie Yu. A scholar is included among the top collaborators of Wei–Jie Yu 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 Wei–Jie Yu. Wei–Jie Yu 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 12
3 19
4 0
5 11
6 0
7 1
8 12
9 200
10 6
11 63
12 24
13 41
14 12
15 1
16 74
17 153
18 1
19 10
20 10

About Wei–Jie Yu

Wei–Jie Yu is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Space and Planetary Science, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (27 papers), Advanced Multi-Objective Optimization Algorithms (23 papers) and Evolutionary Algorithms and Applications (17 papers). The work is most often cited by research in Computational Theory and Mathematics (696 citations), Artificial Intelligence (999 citations) and Industrial and Manufacturing Engineering (157 citations). Wei–Jie Yu has collaborated with scholars based in China, Australia and Hong Kong. Frequent co-authors include Jun Zhang, Zhi‐Hui Zhan, Ying Lin, Zijia Wang, Wei–Neng Chen, Tianlong Gu, Yue‐Jiao Gong, Sam Kwong, Hua Wang and Huaqiang Yuan. Their work appears in journals such as The Science of The Total Environment, IEEE Access and Sensors.

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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