Yeye Ai

24 papers and 576 indexed citations i.

About

Yeye Ai is a scholar working on Materials Chemistry, Organic Chemistry and Spectroscopy. According to data from OpenAlex, Yeye Ai has authored 24 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Materials Chemistry, 6 papers in Organic Chemistry and 6 papers in Spectroscopy. Recurrent topics in Yeye Ai’s work include Luminescence and Fluorescent Materials (15 papers), Molecular Sensors and Ion Detection (5 papers) and Photochromic and Fluorescence Chemistry (5 papers). Yeye Ai is often cited by papers focused on Luminescence and Fluorescent Materials (15 papers), Molecular Sensors and Ion Detection (5 papers) and Photochromic and Fluorescence Chemistry (5 papers). Yeye Ai collaborates with scholars based in China and Hong Kong. Yeye Ai's co-authors include Yongguang Li, Vivian Wing‐Wah Yam, Alan Kwun‐Wa Chan, Eugene Yau‐Hin Hong, Ling Chen, Michael Ho‐Yeung Chan, Mingmei Wu, Cheng‐Yong Su, Zhang‐Wen Wei and Cheng‐Xia Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

In The Last Decade

Co-authorship network of co-authors of Yeye Ai i

Fields of papers citing papers by Yeye Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yeye Ai

Since Specialization
Citations

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