Kejia Chen
About
Kejia Chen is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Computer Vision and Pattern Recognition.
According to data from OpenAlex, Kejia Chen has authored 51 papers receiving a total of 639 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 10 papers in Statistical and Nonlinear Physics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kejia Chen’s work include Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (8 papers) and Recommender Systems and Techniques (5 papers). Kejia Chen is often cited by papers focused on Complex Network Analysis Techniques (10 papers), Advanced Graph Neural Networks (8 papers) and Recommender Systems and Techniques (5 papers). Kejia Chen collaborates with scholars based in China, United States and Germany. Kejia Chen's co-authors include Yun Li, Yunyun Wang, Steve Granick, Jiajun Zhang and Zhenshan Bing and has published in prestigious journals such as Nature Materials, ACS Nano and Analytical Biochemistry.
In The Last Decade
Fields of papers citing papers by Kejia Chen
Since SpecializationEngineeringComputer 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 Kejia Chen. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Kejia Chen may publish in the future.
Countries citing papers authored by Kejia Chen
Since SpecializationCitations
This map shows the geographic impact of Kejia Chen'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 Kejia Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kejia Chen more than expected).
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