Yu Dai

73 papers and 1.9k indexed citations i.

About

Yu Dai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Yu Dai has authored 73 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Materials Chemistry, 31 papers in Electrical and Electronic Engineering and 28 papers in Biomedical Engineering. Recurrent topics in Yu Dai’s work include Fiber-reinforced polymer composites (19 papers), Supercapacitor Materials and Fabrication (13 papers) and Graphene research and applications (12 papers). Yu Dai is often cited by papers focused on Fiber-reinforced polymer composites (19 papers), Supercapacitor Materials and Fabrication (13 papers) and Graphene research and applications (12 papers). Yu Dai collaborates with scholars based in China, Macao and Germany. Yu Dai's co-authors include Longbo Luo, Xingyi Wang, Dao Li, Lun Dai, Qiguang Dai, Zheng Cheng, Chenbo Meng, Yu Ye, Xiangyang Liu and Xiangyang Liu and has published in prestigious journals such as Applied Catalysis B Environment and Energy, Journal of Hazardous Materials and Journal of Materials Chemistry.

In The Last Decade

Co-authorship network of co-authors of Yu Dai i

Fields of papers citing papers by Yu Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yu Dai

Since Specialization
Citations

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

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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2025