Jun Dai

252 papers and 15.0k indexed citations
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About

Jun Dai is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Jun Dai has authored 252 papers receiving a total of 15.0k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Materials Chemistry, 84 papers in Electrical and Electronic Engineering and 45 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Jun Dai’s work include Advanced Photocatalysis Techniques (37 papers), Perovskite Materials and Applications (33 papers) and 2D Materials and Applications (25 papers). Jun Dai is often cited by papers focused on Advanced Photocatalysis Techniques (37 papers), Perovskite Materials and Applications (33 papers) and 2D Materials and Applications (25 papers). Jun Dai collaborates with scholars based in China, United States and Hong Kong. Jun Dai's co-authors include Xiao Cheng Zeng, Jinsong Huang, Jinlong Yang, Xiaojun Wu, Yanjun Fang, Liang Ma, Xiaopeng Zheng, Yuze Lin, Ming‐Gang Ju and Yang Bai and has published in prestigious journals such as Journal of the American Chemical Society, Physical Review Letters and Advanced Materials.

In The Last Decade

Co-authorship network of co-authors of Jun Dai

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

Fields of papers citing papers by Jun Dai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Dai

Since Specialization
Citations

This map shows the geographic impact of Jun 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 Jun Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun 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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2026