Jun Ai

50 papers and 809 indexed citations i.

About

Jun Ai is a scholar working on Materials Chemistry, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Ai has authored 50 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Materials Chemistry, 21 papers in Molecular Biology and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Ai’s work include Advanced biosensing and bioanalysis techniques (20 papers), Nanocluster Synthesis and Applications (14 papers) and Advanced Nanomaterials in Catalysis (11 papers). Jun Ai is often cited by papers focused on Advanced biosensing and bioanalysis techniques (20 papers), Nanocluster Synthesis and Applications (14 papers) and Advanced Nanomaterials in Catalysis (11 papers). Jun Ai collaborates with scholars based in China, United States and Mongolia. Jun Ai's co-authors include Lu Ga, Erkang Wang, Libing Zhang, Shaojun Dong, Tao Li, Xin Tong, Lijun Liu, Yong Wang, Lanlan Liu and Lijun Liu and has published in prestigious journals such as ACS Nano, Chemical Engineering Journal and Food Chemistry.

In The Last Decade

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

Fields of papers citing papers by Jun Ai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jun Ai

Since Specialization
Citations

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