Di Jin

182 papers and 2.9k indexed citations i.

About

Di Jin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Di Jin has authored 182 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Artificial Intelligence, 84 papers in Statistical and Nonlinear Physics and 23 papers in Computer Vision and Pattern Recognition. Recurrent topics in Di Jin’s work include Complex Network Analysis Techniques (82 papers), Advanced Graph Neural Networks (66 papers) and Opinion Dynamics and Social Influence (37 papers). Di Jin is often cited by papers focused on Complex Network Analysis Techniques (82 papers), Advanced Graph Neural Networks (66 papers) and Opinion Dynamics and Social Influence (37 papers). Di Jin collaborates with scholars based in China, United States and Australia. Di Jin's co-authors include Dongxiao He, Weixiong Zhang, Xiaochun Cao, Liang Yang, Pengfei Jiao, Dayou Liu, Jianwu Dang, Xiao Wang, Ligong Chen and Zhizhi Yu and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Chemical Communications.

In The Last Decade

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

Fields of papers citing papers by Di Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Di Jin

Since Specialization
Citations

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