Gan Ruan

26 total papers · 466 total citations
18 papers, 372 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 372 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 Juan Zou, Shengxiang Yang, Jinhua Zheng, Guo Yu, Stefan Menzel, Junwei Ou, Xin Yao, Bernhard Sendhoff, Leandro L. Minku 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 367 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gan Ruan	327	299	58	38	29	18	372
Jiawei Yuan	272 0.8×	261 0.9×	43 0.7×	36 0.9×	48 1.7×	15	347
Amitay Isaacs	305 0.9×	282 0.9×	82 1.4×	52 1.4×	33 1.1×	22	413
Zefeng Chen	230 0.7×	252 0.8×	49 0.8×	30 0.8×	18 0.6×	28	357
Zhenshou Song	257 0.8×	321 1.1×	63 1.1×	34 0.9×	9 0.3×	12	428
Maha Elarbi	218 0.7×	228 0.8×	54 0.9×	29 0.8×	24 0.8×	18	345
Xin-Kuan Wang	179 0.5×	156 0.5×	30 0.5×	27 0.7×	41 1.4×	18	374
Heiner Zille	331 1.0×	334 1.1×	41 0.7×	35 0.9×	29 1.0×	20	411
Luis Miguel Antonio	295 0.9×	328 1.1×	46 0.8×	43 1.1×	18 0.6×	14	434
Naoya Akedo	323 1.0×	296 1.0×	77 1.3×	35 0.9×	32 1.1×	8	377
Xuanxuan Ban	248 0.8×	247 0.8×	22 0.4×	51 1.3×	25 0.9×	17	376

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

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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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