Jin‐Yun Wang

27 total papers · 442 total citations
17 papers, 366 citations indexed

About

Jin‐Yun Wang is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Jin‐Yun Wang has authored 17 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Electrical and Electronic Engineering, 9 papers in Materials Chemistry and 7 papers in Organic Chemistry. Recurrent topics in Jin‐Yun Wang's work include Perovskite Materials and Applications (6 papers), Organic Light-Emitting Diodes Research (5 papers) and Nanocluster Synthesis and Applications (5 papers). Jin‐Yun Wang is often cited by papers focused on Perovskite Materials and Applications (6 papers), Organic Light-Emitting Diodes Research (5 papers) and Nanocluster Synthesis and Applications (5 papers). Jin‐Yun Wang collaborates with scholars based in China. Jin‐Yun Wang's co-authors include Zhong‐Ning Chen, Liang‐Jin Xu, Jin‐Long Li, Xian‐Chong Zeng, Xiaofeng Zhu, Yunlong Ma, Qingdong Zheng, Peng Wang, Tao Wang and Changquan Tang and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Advanced Functional Materials.

In The Last Decade

Jin‐Yun Wang

15 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Jin‐Yun Wang 264 219 93 70 61 17 366
Azin Babaei 321 1.2× 216 1.0× 78 0.8× 104 1.5× 56 0.9× 15 406
Ka Yan Kitty Man 202 0.8× 147 0.7× 152 1.6× 98 1.4× 59 1.0× 13 344
M. Etchells 259 1.0× 332 1.5× 68 0.7× 38 0.5× 133 2.2× 12 437
Michael M. Aristov 186 0.7× 240 1.1× 34 0.4× 94 1.3× 42 0.7× 17 390
Virendra Kumar 242 0.9× 180 0.8× 68 0.7× 61 0.9× 28 0.5× 34 344
James W. Proscia 239 0.9× 227 1.0× 39 0.4× 120 1.7× 58 1.0× 17 429
John C. Forgie 270 1.0× 144 0.7× 149 1.6× 55 0.8× 56 0.9× 18 400
Lillian Sze Man Lam 275 1.0× 191 0.9× 153 1.6× 90 1.3× 39 0.6× 20 442
M. R. Ranga Prabhath 165 0.6× 126 0.6× 99 1.1× 126 1.8× 37 0.6× 12 358
Ming-Cheng Kuo 245 0.9× 293 1.3× 47 0.5× 65 0.9× 22 0.4× 13 398

Countries citing papers authored by Jin‐Yun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Yun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Yun Wang. 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 Jin‐Yun Wang. The network helps show where Jin‐Yun Wang may publish in the future.

Co-authorship network of co-authors of Jin‐Yun Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Jin‐Yun Wang. A scholar is included among the top collaborators of Jin‐Yun Wang 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 Jin‐Yun Wang. Jin‐Yun Wang 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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