Jian Tang

About

Jian Tang is a scholar working on Artificial Intelligence, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Jian Tang has authored 65 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Materials Chemistry and 10 papers in Mechanical Engineering. Recurrent topics in Jian Tang’s work include Topic Modeling (14 papers), Advanced Graph Neural Networks (11 papers) and Aluminum Alloy Microstructure Properties (8 papers). Jian Tang is often cited by papers focused on Topic Modeling (14 papers), Advanced Graph Neural Networks (11 papers) and Aluminum Alloy Microstructure Properties (8 papers). Jian Tang collaborates with scholars based in China, Canada and United States. Jian Tang's co-authors include J.L. Xu, Feng Qiu, Meng Qu and Yan Song and has published in prestigious journals such as Nature Communications, Small and Materials Science and Engineering A.

In The Last Decade

Fields of papers citing papers by Jian Tang

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 Jian Tang. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jian Tang may publish in the future.

Countries citing papers authored by Jian Tang

Since Specialization

Citations

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

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