Xiaobo Yuan

48 total papers · 658 total citations
36 papers, 522 citations indexed

About

Xiaobo Yuan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Xiaobo Yuan has authored 36 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Materials Chemistry, 16 papers in Electrical and Electronic Engineering and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Xiaobo Yuan's work include 2D Materials and Applications (9 papers), MXene and MAX Phase Materials (9 papers) and Graphene research and applications (5 papers). Xiaobo Yuan is often cited by papers focused on 2D Materials and Applications (9 papers), MXene and MAX Phase Materials (9 papers) and Graphene research and applications (5 papers). Xiaobo Yuan collaborates with scholars based in China, Germany and Japan. Xiaobo Yuan's co-authors include Yongliang Yong, Yanmin Kuang, Song Hu, Ruilin Gao, Qihua Hou, Yunping Li, Qian Lei, Zijia Zhao, Xinli Li and Hong‐Ling Cui and has published in prestigious journals such as Langmuir, ACS Applied Materials & Interfaces and Journal of Membrane Science.

In The Last Decade

Xiaobo Yuan

31 papers receiving 514 citations

Author Peers

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

Author						Papers	Cites
Xiaobo Yuan	333	264	133	63	49	36	522
Meizhen Gao	317 1.0×	301 1.1×	142 1.1×	43 0.7×	72 1.5×	20	614
Samantha Michelle Gateman	231 0.7×	223 0.8×	71 0.5×	77 1.2×	69 1.4×	28	615
Jun‐e Qu	345 1.0×	173 0.7×	60 0.5×	58 0.9×	58 1.2×	41	543
Yini Fang	171 0.5×	258 1.0×	179 1.3×	189 3.0×	63 1.3×	32	560
Petr Ashcheulov	433 1.3×	177 0.7×	62 0.5×	56 0.9×	96 2.0×	38	561
Gopal Sanyal	441 1.3×	246 0.9×	114 0.9×	61 1.0×	36 0.7×	43	595
Ivan Alves de Souza	333 1.0×	182 0.7×	78 0.6×	34 0.5×	80 1.6×	29	481
Junjie Yuan	192 0.6×	288 1.1×	88 0.7×	152 2.4×	122 2.5×	50	618
Qi Zhao	350 1.1×	273 1.0×	80 0.6×	64 1.0×	85 1.7×	26	525
Xiaozhe Cheng	264 0.8×	291 1.1×	150 1.1×	113 1.8×	50 1.0×	45	582

Countries citing papers authored by Xiaobo Yuan

Since Specialization

Citations

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

Fields of papers citing papers by Xiaobo Yuan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaobo Yuan

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaobo Yuan. A scholar is included among the top collaborators of Xiaobo Yuan 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 Xiaobo Yuan. Xiaobo Yuan 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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