Shiyun Ai

297 papers and 12.2k indexed citations i.

About

Shiyun Ai is a scholar working on Molecular Biology, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Shiyun Ai has authored 297 papers receiving a total of 12.2k indexed citations (citations by other indexed papers that have themselves been cited), including 196 papers in Molecular Biology, 95 papers in Electrical and Electronic Engineering and 69 papers in Materials Chemistry. Recurrent topics in Shiyun Ai’s work include Advanced biosensing and bioanalysis techniques (184 papers), Electrochemical sensors and biosensors (90 papers) and Electrochemical Analysis and Applications (62 papers). Shiyun Ai is often cited by papers focused on Advanced biosensing and bioanalysis techniques (184 papers), Electrochemical sensors and biosensors (90 papers) and Electrochemical Analysis and Applications (62 papers). Shiyun Ai collaborates with scholars based in China, New Zealand and United States. Shiyun Ai's co-authors include Huanshun Yin, Yunlei Zhou, Lusheng Zhu, Qiang Ma, Xiaomeng Meng, Jing Dong, Bing Sun, Zhenning Xu, Yunlei Zhou and Lin Cui and has published in prestigious journals such as Advanced Functional Materials, Analytical Chemistry and The Science of The Total Environment.

In The Last Decade

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

Fields of papers citing papers by Shiyun Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Shiyun Ai

Since Specialization
Citations

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