Jun Ai

56 papers and 822 indexed citations i.

About

Jun Ai is a scholar working on Statistical and Nonlinear Physics, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Jun Ai has authored 56 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistical and Nonlinear Physics, 15 papers in Information Systems and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Jun Ai’s work include Complex Network Analysis Techniques (16 papers), Recommender Systems and Techniques (13 papers) and Opinion Dynamics and Social Influence (6 papers). Jun Ai is often cited by papers focused on Complex Network Analysis Techniques (16 papers), Recommender Systems and Techniques (13 papers) and Opinion Dynamics and Social Influence (6 papers). Jun Ai collaborates with scholars based in China, United States and Philippines. Jun Ai's co-authors include Zhan Su, Jianguo Liu, Xiaoyan Zeng, Qifeng Du, Yong‐Xian Cheng, Jing Nie, Yong‐Ming Yan, Fan Fan Hou, Jie Luo and Chunxue Wu and has published in prestigious journals such as PLoS ONE, Langmuir and Journal of the American Society of Nephrology.

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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