Di Jin

177 papers and 2.7k 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 177 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 103 papers in Artificial Intelligence, 82 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 (80 papers), Advanced Graph Neural Networks (64 papers) and Opinion Dynamics and Social Influence (37 papers). Di Jin is often cited by papers focused on Complex Network Analysis Techniques (80 papers), Advanced Graph Neural Networks (64 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, Ligong Chen, Dayou Liu and Xiaochun Cao and has published in prestigious journals such as PLoS ONE, Advanced Functional Materials and Chemical Communications.

In The Last Decade

Fields of papers citing papers by Di Jin

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Di Jin. Nodes represent fields, and links connect fields that are likely to share authors. 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 by CCL
2025