Chang Jun
About
Chang Jun is a scholar working on Information Systems, Cell Biology and Sociology and Political Science.
According to data from OpenAlex, Chang Jun has authored 5 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Information Systems, 1 paper in Cell Biology and 1 paper in Sociology and Political Science. Recurrent topics in Chang Jun’s work include Cloud Computing and Resource Management (1 paper), Calcium signaling and nucleotide metabolism (1 paper) and Autophagy in Disease and Therapy (1 paper). Chang Jun is often cited by papers focused on Cloud Computing and Resource Management (1 paper), Calcium signaling and nucleotide metabolism (1 paper) and Autophagy in Disease and Therapy (1 paper). Chang Jun collaborates with scholars based in China, Taiwan and United States. Chang Jun's co-authors include Ping Chen, Seung‐Hyun Ro, Jing Cao and Feng Tang and has published in prestigious journals such as Molecular Biology of the Cell.
In The Last Decade
Fields of papers citing papers by Chang Jun
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 Chang Jun. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chang Jun may publish in the future.
Countries citing papers authored by Chang Jun
Since SpecializationCitations
This map shows the geographic impact of Chang Jun'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 Chang Jun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang Jun more than expected).
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