Jing‐Yuan Wu

1.4k total citations
46 papers, 1.2k citations indexed

About

Jing‐Yuan Wu is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Jing‐Yuan Wu has authored 46 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Electrical and Electronic Engineering, 20 papers in Biomedical Engineering and 20 papers in Materials Chemistry. Recurrent topics in Jing‐Yuan Wu's work include 2D Materials and Applications (13 papers), Plasmonic and Surface Plasmon Research (8 papers) and Graphene research and applications (6 papers). Jing‐Yuan Wu is often cited by papers focused on 2D Materials and Applications (13 papers), Plasmonic and Surface Plasmon Research (8 papers) and Graphene research and applications (6 papers). Jing‐Yuan Wu collaborates with scholars based in China, Taiwan and United States. Jing‐Yuan Wu's co-authors include Tong Zhang, Xiao‐Yang Zhang, Yuanjun Song, Daping Chu, Shunpu Li, Young Tea Chun, Wei-Hung Shih, Wei-Chi Chiu, Wen‐Hsin Hsieh and Pawan Shrestha and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Jing‐Yuan Wu

43 papers receiving 1.2k citations

Peers

Jing‐Yuan Wu
Comparison fields: 5 of 85
  • Materials Chemistry 554
  • Electrical and Electronic Engineering 479
  • Biomedical Engineering 408
  • Electronic, Optical and Magnetic Materials 248
  • Mechanical Engineering 140
Replace Wajid Ali with:
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Haixia Li China
Zewen Liu China
Yulong Fan China
Xingkun Man China
Zihao He United States
Valentina Spampinato Belgium
Guanghua Du China
Yawei Hao China
Alessandro Mariani Italy
Wajid Ali China View profile →
Citations per field, relative to Jing‐Yuan Wu
Jing‐Yuan Wu · 1×
Citations per year, relative to Jing‐Yuan Wu
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Countries citing papers authored by Jing‐Yuan Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jing‐Yuan Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing‐Yuan Wu

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 7
3 5
4 1
5 4
6 1
7 13
8 6
9 12
10 14
11 1
12 3
13 14
14 6
15 6
16 1
17 59
18 151
19 64
20 11

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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