Qun Jin

194 papers and 3.6k indexed citations i.

About

Qun Jin is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Qun Jin has authored 194 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 61 papers in Artificial Intelligence, 54 papers in Information Systems and 49 papers in Computer Networks and Communications. Recurrent topics in Qun Jin’s work include Recommender Systems and Techniques (30 papers), Complex Network Analysis Techniques (26 papers) and Opinion Dynamics and Social Influence (16 papers). Qun Jin is often cited by papers focused on Recommender Systems and Techniques (30 papers), Complex Network Analysis Techniques (26 papers) and Opinion Dynamics and Social Influence (16 papers). Qun Jin collaborates with scholars based in Japan, China and New Zealand. Qun Jin's co-authors include Xiaokang Zhou, Wei Liang, Jianhua Ma, Yufeng Wang, Kevin I‐Kai Wang, Laurence T. Yang, Shohei Shimizu, Huijuan Lu, Ke Yan and Hao Wang and has published in prestigious journals such as Journal of Molecular Biology, Applied Energy and Computers in Human Behavior.

In The Last Decade

Co-authorship network of co-authors of Qun Jin i

Fields of papers citing papers by Qun Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Qun Jin

Since Specialization
Citations

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