Caitong Yue

5.0k citations
99 papers · 3.5k indexed · 5 hit papers · h-index 28
Topics
Metaheuristic Optimization Algorithms Research (70 papers)Advanced Multi-Objective Optimization Algorithms (63 papers)Evolutionary Algorithms and Applications (42 papers)
Journals
SHILAP Revista de lepidopterologíaApplied EnergyExpert Systems with Applications
Partner nations
ChinaAustraliaQatar

In The Last Decade

Caitong Yue

89 papers receiving 3.5k citations

Hit Papers

A Multiobjective Particle Swarm Optimizer Using Ring Topo...201720262020202320172019202220222022100200300400

Peers

Caitong Yue
Comparison fields: 5 of 104
  • Artificial Intelligence 2.6k
  • Computational Theory and Mathematics 2.3k
  • Control and Systems Engineering 411
  • Renewable Energy, Sustainability and the Environment 347
  • Electrical and Electronic Engineering 304
Replace Hadi Eskandar with:
Hadi Eskandar Iran
Pradeep Jangir India
Kunjie Yu China
Benyamın Abdollahzadeh Iran
Kangjia Qiao China
Reda Mohamed Egypt
Jinhua Zheng China
Qifang Luo China
Markus Olhofer Germany
Min-Rong Chen China
Caitong Yue relative to Hadi Eskandar Iran Hadi Eskandar's profile →
Citations per field
00.5×4.8×
Hadi Eskandar · 1×
Citations per year

Countries citing papers authored by Caitong Yue

Since Specialization
Citations

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

Fields of papers citing papers by Caitong Yue

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caitong Yue

This figure shows the co-authorship network connecting the top 25 collaborators of Caitong Yue. A scholar is included among the top collaborators of Caitong Yue 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 Caitong Yue. Caitong Yue 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 1
2 2
3 1
4 5
5 3
6 10
7 3
8 4
9 2
10 11
11 1
12 8
13 21
14 6
15 26
16 50
17 7
18 62
19 10
20 167

About Caitong Yue

Caitong Yue is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Numerical Analysis, having authored 99 papers that have together received 3.5k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (70 papers), Advanced Multi-Objective Optimization Algorithms (63 papers) and Evolutionary Algorithms and Applications (42 papers). The work is most often cited by research in Computational Theory and Mathematics (2.3k citations), Artificial Intelligence (2.6k citations) and Industrial and Manufacturing Engineering (257 citations). Caitong Yue has collaborated with scholars based in China, Australia and Qatar. Frequent co-authors include Jing Liang, Boyang Qu, Kunjie Yu, Kangjia Qiao, Hui Song, Shilei Ge, Xu Chen, Ke Chen, Kay Chen Tan and Xuanxuan Ban. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Energy and Expert Systems with Applications.

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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