Gan Ruan

472 total citations
18 papers, 375 citations indexed

About

Gan Ruan is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Gan Ruan has authored 18 papers receiving a total of 375 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computational Theory and Mathematics, 13 papers in Artificial Intelligence and 2 papers in Management Science and Operations Research. Recurrent topics in Gan Ruan's work include Advanced Multi-Objective Optimization Algorithms (17 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Evolutionary Algorithms and Applications (8 papers). Gan Ruan is often cited by papers focused on Advanced Multi-Objective Optimization Algorithms (17 papers), Metaheuristic Optimization Algorithms Research (13 papers) and Evolutionary Algorithms and Applications (8 papers). Gan Ruan collaborates with scholars based in United Kingdom, China and Germany. Gan Ruan's co-authors include Shengxiang Yang, Juan Zou, Jinhua Zheng, Guo Yu, Bernhard Sendhoff, Stefan Menzel, Junwei Ou, Leandro L. Minku, Xin Yao and Yaru Hu and has published in prestigious journals such as Information Sciences, IEEE Transactions on Evolutionary Computation and Applied Soft Computing.

In The Last Decade

Gan Ruan

17 papers receiving 368 citations

Peers

Gan Ruan
Comparison fields: 5 of 37
  • Computational Theory and Mathematics 330
  • Artificial Intelligence 301
  • Management Science and Operations Research 58
  • Control and Systems Engineering 39
  • Civil and Structural Engineering 29
Replace Mardé Helbig with:
Mardé Helbig South Africa
Jesús Guillermo Falcón-Cardona Mexico
Naoya Akedo Japan
Jiajie Mo China
Sandra M. Venske Brazil
Christian W. G. Lasarczyk Germany
Carolina P. Almeida Brazil
Arvind Mohais Australia
Henrik Linusson Sweden
Alexander Engau United States
Mardé Helbig South Africa View profile →
Citations per field, relative to Gan Ruan
Gan Ruan · 1×
Citations per year, relative to Gan Ruan
Gan Ruan · 1×

Countries citing papers authored by Gan Ruan

Since Specialization
Citations

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

Fields of papers citing papers by Gan Ruan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gan Ruan

This figure shows the co-authorship network connecting the top 25 collaborators of Gan Ruan. A scholar is included among the top collaborators of Gan Ruan 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 Gan Ruan. Gan Ruan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 4
3 2
4 3
5 1
6 11
7 14
8 9
9 30
10 22
11 17
12 13
13 1
14 13
15 4
16 78
17 3
18 150

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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