Shijin Yu

49 total papers · 1.3k total citations
39 papers, 1.0k citations indexed

About

Shijin Yu is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Shijin Yu has authored 39 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 18 papers in Materials Chemistry and 8 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Shijin Yu's work include Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (9 papers) and Gas Sensing Nanomaterials and Sensors (7 papers). Shijin Yu is often cited by papers focused on Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (9 papers) and Gas Sensing Nanomaterials and Sensors (7 papers). Shijin Yu collaborates with scholars based in China, Singapore and United States. Shijin Yu's co-authors include Ling Bing Kong, Zhuohao Xiao, Kun Zhou, Wenxiu Que, Qing Huang, Fajun Wang, Tianshu Zhang, Shuangchen Ruan, Zhengjun Yao and Cuiyun Li and has published in prestigious journals such as Nature Communications, Journal of Power Sources and Journal of Materials Chemistry A.

In The Last Decade

Shijin Yu

36 papers receiving 998 citations

Hit Papers

Materials development and... 2019 2026 2021 2023 2019 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Shijin Yu 683 461 188 182 177 39 1.0k
Zhongzhou Yi 300 0.4× 464 1.0× 135 0.7× 126 0.7× 123 0.7× 41 823
Gilles Taillades 530 0.8× 804 1.7× 193 1.0× 197 1.1× 68 0.4× 43 1.1k
O. Toft Sørensen 346 0.5× 950 2.1× 202 1.1× 61 0.3× 166 0.9× 56 1.2k
Jun Wei 427 0.6× 506 1.1× 155 0.8× 60 0.3× 161 0.9× 54 993
Phillip Stallworth 719 1.1× 336 0.7× 244 1.3× 96 0.5× 110 0.6× 40 1.1k
Frank Berkemeier 580 0.8× 390 0.8× 152 0.8× 183 1.0× 74 0.4× 26 929
Mohammad Ashiq 386 0.6× 719 1.6× 313 1.7× 175 1.0× 94 0.5× 70 1.0k
Shingo Katayama 341 0.5× 455 1.0× 119 0.6× 54 0.3× 263 1.5× 62 1.0k
Brian J. Zelinski 315 0.5× 480 1.0× 64 0.3× 167 0.9× 130 0.7× 52 928
M.A. Salim 401 0.6× 716 1.6× 116 0.6× 364 2.0× 135 0.8× 32 1.1k

Countries citing papers authored by Shijin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Shijin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shijin Yu

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