Rong-Kai Wu

433 total citations
20 papers, 279 citations indexed

About

Rong-Kai Wu is a scholar working on Organic Chemistry, Polymers and Plastics and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Rong-Kai Wu has authored 20 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 5 papers in Polymers and Plastics and 3 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Rong-Kai Wu's work include Catalytic C–H Functionalization Methods (5 papers), Flame retardant materials and properties (4 papers) and Polydiacetylene-based materials and applications (3 papers). Rong-Kai Wu is often cited by papers focused on Catalytic C–H Functionalization Methods (5 papers), Flame retardant materials and properties (4 papers) and Polydiacetylene-based materials and applications (3 papers). Rong-Kai Wu collaborates with scholars based in China, France and United States. Rong-Kai Wu's co-authors include Bihe Yuan, Xin Hong, Yu Wang, Shuo‐Qing Zhang, Xu Chen, Yunlong He, Juanjuan Zhou, Yuanyuan Zhan, Weijia Zhang and Weidong Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Rong-Kai Wu

18 papers receiving 275 citations

Peers

Rong-Kai Wu
Comparison fields: 5 of 63
  • Organic Chemistry 121
  • Polymers and Plastics 98
  • Materials Chemistry 49
  • Biomaterials 38
  • Biomedical Engineering 33
Replace Filippo Marsico with:
Filippo Marsico Germany
Edivandro Girotto Brazil
Ronan Le Goff France
Satyabrata Das India
Jiang Bai China
S Joly India
V. Ramkumar India
Christopher A. Bertelo United States
A. S. Kozlov Russia
Filippo Marsico Germany View profile →
Citations per field, relative to Rong-Kai Wu
Rong-Kai Wu · 1×
Citations per year, relative to Rong-Kai Wu
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Countries citing papers authored by Rong-Kai Wu

Since Specialization
Citations

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

Fields of papers citing papers by Rong-Kai Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rong-Kai 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 Rong-Kai Wu. The network helps show where Rong-Kai Wu may publish in the future.

Co-authorship network of co-authors of Rong-Kai Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Rong-Kai Wu. A scholar is included among the top collaborators of Rong-Kai 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 Rong-Kai Wu. Rong-Kai 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 2
2 0
3 4
4 0
5 34
6 4
7 3
8 1
9 5
10 12
11 10
12 8
13 46
14 13
15 21
16 15
17 20
18 65
19 14
20 2

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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